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Optimizing Azure Healthcare Multimodal AI Models for Intel CPU Architecture
Alexander Mehmet Ersoy, Principal Product Manager, Microsoft HLS AI Abhishek Khowala, Principal AI Engineer, Intel Ravi Panchumarthy, AI Framework Engineer, Intel Srinarayan Srikanthan, AI Framework Engineer, Intel Ekaterina Aidova, AI Frameworks Engineer, Intel Alberto Santamaria-Pang, Principal Applied Data Scientist, Microsoft HLS AI and Adjunct Faculty at Johns Hopkins Medicine, Microsoft Peter Lee, Applied Scientist, Microsoft HLS AI and Adjunct Assistant Professor at Vanderbilt University Ivan Tarapov, Sr. Director, Microsoft HLS AI The Rise of Multimodal AI in Healthcare The healthcare sector is witnessing a surge in the adoption of multimodal AI models, which are crucial for applications ranging from diagnostics to personalized treatment plans. These models combine data from various sources such as medical images, patient records, and genomic data to provide comprehensive insights. Microsoft’s Azure AI Foundry's Model Catalog of multimodal healthcare foundation models is at the forefront of this change. Models recently launched (such as MedImageInsights, MedImageParse, CXRReportGen [8], and many others) are designed to help healthcare organizations rapidly build and deploy AI solutions tailored to their specific needs, while minimizing the extensive compute and data requirements typically associated with building multimodal models from scratch. Real-World Examples from our industry partners regarding the adoption of multimodal AI models are highlighted in the article “Unlocking next-generation AI capabilities with healthcare AI models”. Challenges and Opportunities in Hardware Optimization As models get more complex, which is the case with the foundation model trend, the demands on the hardware rise. While GPUs remain the platform of choice for minimizing the model execution times, CPUs present substantial optimization possibilities, especially for inference workloads. We believe that providing a framework for efficient CPU-based environments holds a huge potential for many production scenarios where speed can be traded off for cost savings. With multimodal healthcare AI, the complexity of handling different data modalities and ensuring efficient inference requires innovative solutions and collaboration between industry leaders. Companies are increasingly looking towards hardware-specific optimizations to enhance model efficiency and reduce latency while keeping costs at bay. Intel, with its robust suite of AI tools and extensions for frameworks like PyTorch, is pioneering this optimization effort. For instance, the Intel® Distribution of OpenVINO™ toolkit has been instrumental in accelerating the development of computer vision and deep learning applications in healthcare [1]. You can learn about our recent collaboration with Intel on AI optimizations to advance medical innovations in the article "Empower Medical Innovations: Intel Accelerates PadChest & fMRI Models on Microsoft Azure* Machine Learning”. The demand for AI applications in healthcare is rapidly increasing. Multimodal AI models, which can process and analyze complex datasets, are essential for tasks such as early disease detection, treatment planning, and patient monitoring. While optimizing these models to perform efficiently on specific hardware is important, it is not necessarily a barrier to adoption. Models optimized with CUDA for Nvidia GPUs often deliver optimal performance and run faster than on any other hardware. However, the benefit of using CPUs lies in the tradeoff they offer. You can choose to optimize for speed by running your model on a GPU and optimizing for it in PyTorch, or you can optimize for cost by sacrificing speed. This is the proposition here: the option to run the model slower with an accessible CPU, which can be advantageous in scenarios where speed is not the primary concern, but access to GPU hardware is. The Intel® oneAPI Deep Neural Network Library (oneDNN) have proven effective in reducing GPU requirement burden and accelerating time to market for AI solutions [2]. Both Intel® Extension for PyTorch (IPEX) and OpenVINO utilize the Intel® oneDNN to accelerate deep learning operations, taking advantage of underlying hardware features. IPEX optimizes existing PyTorch workflows with minimal code changes. OpenVINO provides cross-platform deep learning optimization for deployment flexibility. In this blog post, a custom deployment was implemented using CXRReportGen along with both IPEX and OpenVINO optimizations, demonstrating how these techniques can support different deployment scenarios and technical requirements. This optimization is accessible through Azure's compute services and Intel's technology. Benchmarking and Performance Acceleration To address these challenges, our new collaboration with Intel focuses on leveraging Intel’s advanced AI tools and hardware capabilities to optimize multimodal AI models for greater healthcare access. By utilizing Intel's Extension for PyTorch and other optimization techniques, we aim to optimize CPUs for best model run time speed. While this may slightly degrade performance, the main benefit is addressing the problem of GPU hardware scarcity. This partnership not only underscores the importance of hardware-specific optimizations but also sets a new standard for AI model deployment in real-world healthcare applications. Both IPEX and OpenVINO are built on a common foundation - Intel® oneDNN which is a high-performance library designed specifically for deep learning applications and optimized for Intel architecture. oneDNN leverages specialized hardware instructions available in Intel processors such as Intel® Advanced Vector Extensions 512 (Intel® AVX-512) Vector Neural Network Instructions (VNNI) and Intel® Advanced Matrix Extensions (Intel® AMX) [3] on Intel CPUs as well as Intel XeMatrix Extensions (XMX) AI engines on Intel discrete GPUs. Figure 1: OneDNN Library IPEX [4] extends PyTorch* with the latest performance optimizations for Intel hardware [5]. It leverages oneDNN under the hood to provide optimized implementations of key operations. This allows developers to stay within their existing PyTorch code with minimal changes - making it an excellent choice for teams already comfortable with the PyTorch ecosystem who want to quickly optimize their models for Intel hardware. import torch ############## import ipex ############### import intel_extension_for_pytorch as ipex model = Model() model.eval() ############## Optimize with IPEX ############### model = ipex.optimize(model, dtype=torch.bfloat16) # Continue with inference as normal Figure 2. Intel Extension for PyTorch The Intel® Distribution of OpenVINO™ toolkit is a powerful solution for optimizing and deploying deep learning models across a wide range of Intel hardware [6]. Like IPEX, it leverages oneDNN under the hood, but takes a different approach - offering cross-platform optimization and flexible deployment options. OpenVINO supports two main workflows: a convenience workflow, where you run models directly with minimal setup, and a performance workflow, recommended for production, where models are first converted offline into the OpenVINO Intermediate Representation (IR). This one-time conversion step enables highly optimized inference and allows the final application to remain lightweight and efficient. Here’s a simple example using OpenVINO for inference with a pre-converted IR model. Refer to OpenVINO Notebooks repo for more samples: import openvino as ov core = ov.Core() ############## Load the OpenVINO IR model ############### compiled_model = core.compile_model("model.xml", "CPU") ############## Run inference ################### infer_request = compiled_model.create_infer_request() results = infer_request.infer({input_tensor_name: input_tensor}) Figure 3: OpenVINO toolkit Overview. IPEX and OpenVINO are supported in all Intel architectures. However, for optimal performance, Intel recommends using instances powered by 4th Gen Intel® Xeon® Scalable processors or newer, which feature AMX and other hardware acceleration capabilities, such as Azure’s v6-series (e.g., Standard_E48s_v6) [7]. Results We conducted a detailed performance benchmark by using CXRReportGen, a state-of-the-art foundation model designed to generate a list of radiological findings from chest X-rays, over Standard_E48s_v6 hardware (48 vCPUs, 248 GiB RAM) with and without IPEX and OpenVINO optimization. We realized up to 70% improvement in CXRReportGen foundation model run time when applying optimizations with IPEX and similarly substantial gains using OpenVINO, compared to the non-optimized baseline on the same CPU hardware. This significant improvement highlights the potential of leveraging Intel's performance optimizations to make critical healthcare AI models more cost-efficient and accessible. Such advancements enable healthcare providers to deploy advanced diagnostic tools even in resource-constrained environments, ultimately improving patient care and operational efficiency. SKU Run Type (100 Runs) Mean Run Time (seconds) Standard Deviation of Run Time (seconds) Standard_E48s_v6 (48 vCPUs, 348 GiB RAM) No Optimization 22.47 0.1061 Standard_E48s_v6 (48 vCPUs, 348 GiB RAM) IPEX 8.21 0.2375 Standard_E48s_v6 (48 vCPUs, 348 GiB RAM) OpenVINO 7.01 0.0569 Table 1: Performance Comparison of CXRReportGen Model Across 100 Runs with CPU. Future Prospects and Innovations Our benchmarks with Intel optimizations with both IPEX and OpenVINO show great potential on decreasing the model run time of our foundation models and increasing scalability via CPU. This optimization positions Intel CPUs as a viable deployment. This not only increases deployment options but also offers opportunities to reduce cloud costs with CPU-based instances and even consider deploying these workflows on existing compute headroom at the edge. For custom deployments, the setup described in this blog post is now available on the provided compute instances in Azure and with optimization software from Intel. So that developers can optimize inference workloads while taking advantage of large memory pools available via CPU and use towards handling large batch workloads. Our advancements with Intel in model runtime optimizations are considered to be available in the Azure AI model catalogs. Please stay tuned for further updates. As we continue to innovate and optimize, the potential for AI to transform healthcare and improve patient outcomes becomes increasingly attainable. We are now more equipped than ever to making it easier for our partners and customers to create connected experiences at every point of care, empower their healthcare workforce, and unlock the value from their data using data standards that are important to the healthcare industry. References [1] Intel OpenVINO Optimizes Deep Learning Performance for Healthcare Imaging [2] Accelerating Healthcare Diagnostics with Intel oneAPI and AI Tools [3] Intel Advanced Matrix Extensions [4] Intel Extension for Pytorch [5] Accelerate with Intel Extension to PyTorch [6] Intel Accelerates PadChest and fMRI Models on Azure ML [7] Azure’s first 5th Gen Intel® Xeon® processor instances are now available and we're excited! [8] CxrReportGen Model Card in Azure AI Foundry The healthcare AI models in Azure AI Foundry are intended for research and model development exploration. The models are not designed or intended to be deployed in clinical settings as-is nor for use in the diagnosis or treatment of any health or medical condition, and the individual models’ performances for such purposes have not been established. You bear sole responsibility and liability for any use of the healthcare AI models, including verification of outputs and incorporation into any product or service intended for a medical purpose or to inform clinical decision-making, compliance with applicable healthcare laws and regulations, and obtaining any necessary clearances or approvals.
Alexandersoy
Apr 23, 2025 Place Healthcare and Life Sciences Blog
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A specialty-specific approach with Microsoft Dragon Copilot
Clinicians are at the heart of patient care, and the documentation they create shapes how that care is delivered, interpreted, and continued. Nearly 70% of the global medical workforce—around 9 million practitioners, according to recent World Health Organization data—are specialists whose work spans a wide range of disciplines and care settings. As these specialties evolve, so do their documentation needs to ensure the highest quality and accurate care. Each specialty brings its own documentation requirements. Orthopedics relies heavily on imaging reports, physical exam findings, and procedural notes. Preventive Medicine, on the other hand, focuses on understanding the breadth of the patient’s conditions and proactive measures to promote health. Across care settings—from outpatient clinics to emergency departments to inpatient units—documentation also varies in its requirements. Accurate, specialty-specific documentation supports not only improved patient outcomes but also the broader healthcare ecosystem—from ensuring appropriate reimbursement to enabling clinical research and the development of more targeted treatments. When designed to meet the needs of specialists, documentation becomes more than a requirement—it becomes a tool for delivering better care. Purpose-built with clinicians Microsoft Dragon Copilot enhances the clinician experience by streamlining the creation of medical notes tailored to each specialty’s unique requirements. Powered by advanced natural language processing, Dragon Copilot recognizes and adapts to the specific needs of disparate medical fields. This enables clinicians to focus more on patient care and less on administrative work, enhancing both efficiency and satisfaction. Built for continuous learning and adaptation, Dragon Copilot helps specialists keep pace with the evolving clinical guidelines, medical standards, and billing requirements with Microsoft’s dedicated team of medical professionals including MD’s (Doctor of Medicine), RN’s (Registered Nurse), and APP’s (Advanced Practice Provider). In a field shaped by constant change, this agility helps to ensure documentation stays accurate and relevant. At the core of this innovation is Microsoft’s deep, daily engagement with clinicians using Dragon Copilot. Through a diverse network—physicians, advanced care practitioners, coders, and other healthcare professionals—Microsoft works directly with those on the front line of care. This network, and other early access participants, work alongside Microsoft’s in-house clinical experts and researchers to co-design, test, and refine Dragon Copilot. This close partnership brings real-world insight into the development process, helping us ensure Dragon Copilot aligns with the practical, specialty-specific needs of medical professionals. By embedding clinical knowledge and clinician feedback into each iteration, we deliver a solution that is not only clinically accurate but also intuitive and trusted. This is about more than building a better product experience—it is about fostering trust and ownership among clinicians with technology that fits naturally into their everyday practice, supports their expertise, and helps them deliver the highest quality care. The power of a specialty-optimized approach Dragon Copilot is built on a trusted core medical model, fine-tuned on millions of real-world patient encounters. From this core medical foundation, the model is then adapted and optimized for each specialty—integrating clinical experts’ knowledge and research, national association recommendations, and feedback from clinicians. This layered approach supports outputs that are not only medically accurate but also aligned with the documentation standards and workflows clinicians depend on in their daily practice. The system evolves with changes in clinical guidelines and inputs from practicing specialists. This iterative process keeps Dragon Copilot current, relevant, and reflective of both specialty-specific requirements and real-world practice. By aligning note content with specialty-specific standards, Dragon Copilot helps reduce cognitive load, minimize documentation errors, and shorten the time needed to complete and sign notes. The result is a more efficient workflow that enhances both the quality of care and patient data processing. “By teaming up with specialty providers, Microsoft has elevated the quality and accuracy of notes—making my documentation clearer, more robust yet concise, and significantly improving readability for both patients and fellow providers. Additionally, this update also greatly improved the capture of physical exam findings.” Eric Alford, M.D. Baylor Scott & White Health Consider ophthalmology: clinical guidelines in this specialty require documentation of complex decision-making—such as discussing lens implant options in a way that balances clinical appropriateness with individual patient preferences. Dragon Copilot helps to capture both, generating documentation that is structured and personalized to each unique patient encounter. Or take psychiatry: the mental status exam is a crucial component of the evaluation for informed decisions about the patient's treatment. Dragon Copilot supports by capturing this comprehensive assessment essential for tracking the patient's progress over time. Customization that reflects the art of medicine Specialty-specific notes are only part of the solution—clinician satisfaction and adoption rely on meaningful customization. Documentation is personal, and no two clinicians document the same way. Microsoft Dragon Copilot is designed with that in mind, offering customizable templates and flexible styles that align with individual preferences and workflows. “I think the potential of Dragon Copilot is going to be even greater as we start to bring in local vernacular, and the ability to help each doctor tune their note to their appropriate desires because one person's note that is too brief is another one that's too long for someone else”- R. Hal Baker, MD, SVP and CIO, Wellspan Health This level of personalization preserves each clinician’s unique voice while enhancing the accuracy, completeness, and efficiency of documentation. By bridging standardized requirements with specialty-specific content and individual style, Dragon Copilot supports a more seamless and effective documentation experience. Tailoring technology to meet the diverse needs of clinicians not only enhances satisfaction and adoption but contributes to better care delivery across the healthcare system. Trustworthy AI by design Microsoft Dragon Copilot is built on a secure data estate and incorporates healthcare-adapted clinical, chat and compliance safeguards for accurate and safe AI outputs. Dragon Copilot also aligns to Microsoft’s responsible AI principles to help guide AI development and use — transparency, reliability and safety, fairness, inclusiveness, accountability, privacy, and security. We invest in technical performance through regular assessments, building trust with medical professionals. This process looks for potential biases and errors, enabling timely corrections and continuous improvements across specialties. With a strong focus on inclusiveness, Dragon Copilot supports a wide range of medical practices and specialties, reflecting the diverse needs of clinicians and patients. By upholding these principles, Microsoft drives innovation while helping to safeguard the interests of both patients and healthcare providers. These commitments set a high standard for trustworthy AI in healthcare. Looking ahead Clinical documentation should tell the complete story of a patient’s care—clearly and comprehensively—for the stakeholders involved. We are excited to keep innovating around specialty-specific clinical documentation and beyond—and we want you to be part of it. Your feedback fuels our progress. Together, we can improve clinician well-being and keep the focus where it belongs: on patient care. Learn more Watch an on-demand demo Take a deeper look at Dragon Copilot Explore the latest with our new health AI models and integrations
Marjorie_Veihl
Apr 17, 2025 Place Healthcare and Life Sciences Blog
1.7KViews
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YOTNM Ep. 2: March is Colorectal Cancer Awareness month
Hear a personal journey of the importance of timely health screenings to proactively manage your health and wellbeing. Kathleen McGrow, DNP, CNIO, RN, MS, discusses Colorectal Cancer Awareness month in Episode 2 of Year of the Nurse & Midwife series.
clairebonaci
Aug 24, 2023 Place Healthcare and Life Sciences Blog
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Did you know Microsoft has the coolest internships?
Hear a firsthand account from our latest intern
clairebonaci
Aug 14, 2020 Place Healthcare and Life Sciences Blog
3.2KViews
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Is AI part of your diversity & inclusion plan?
AI is top of mind for business leaders to transform processes but it must be built responsibly and ethically.
clairebonaci
Jun 11, 2020 Place Healthcare and Life Sciences Blog
2.8KViews
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YOTNM Ep 6: Community engagement is the impetus for innovative technology
Listen to real world examples of how inclusive design empowers everyone.
clairebonaci
May 26, 2020 Place Healthcare and Life Sciences Blog
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YOTNM Ep 4: National Volunteer Week April 19-25, 2020
We are a community of volunteers. We would love to hear about your volunteer experiences. Please share below. #volunteering #NVW
clairebonaci
Apr 20, 2020 Place Healthcare and Life Sciences Blog
2.3KViews
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Understanding Health Plans with Sam Robinson
On episode 1 health plan expert Sam Robinson talks about social determinants of health and the relevance in today's society.
clairebonaci
Apr 16, 2020 Place Healthcare and Life Sciences Blog
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Three ways to use virtual tools to support your employee's wellbeing
Shawn Remacle, Director of Industry Engagement, shares three ways virtual tools can be used to support all employees.
clairebonaci
Apr 15, 2020 Place Healthcare and Life Sciences Blog
2.6KViews
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YOTNM Ep. 3: National Patient Safety Awareness Week
Patient safety has always been top of mind in health and given the current environment even more so now. Listen as Kathleen McGrow, DNP, CNIO, RN, MS discusses how technology has a significant role in patient safety now and in the future.
clairebonaci
Mar 12, 2020 Place Healthcare and Life Sciences Blog
1.7KViews
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:microsoftintune","categoryPolicies":{"__typename":"CategoryPolicies","canReadNode":{"__typename":"PolicyResult","failureReason":null}}},"Conversation:conversation:4401088":{"__typename":"Conversation","id":"conversation:4401088","topic":{"__typename":"BlogTopicMessage","uid":4401088},"lastPostingActivityTime":"2025-04-23T14:23:55.994-07:00","solved":false},"User:user:2501703":{"__typename":"User","uid":2501703,"login":"Alexandersoy","registrationData":{"__typename":"RegistrationData","status":null},"deleted":false,"avatar":{"__typename":"UserAvatar","url":"https://techcommunity.microsoft.com/t5/s/gxcuf89792/images/dS0yNTAxNzAzLTl2MTdMcA?image-coordinates=0%2C0%2C800%2C800"},"id":"user:2501703"},"AssociatedImage:{\"url\":\"https://techcommunity.microsoft.com/t5/s/gxcuf89792/images/bS00NDAxMDg4LTI0aGt0cw?revision=24\"}":{"__typename":"AssociatedImage","url":"https://techcommunity.microsoft.com/t5/s/gxcuf89792/images/bS00NDAxMDg4LTI0aGt0cw?revision=24","title":"image.png","associationType":"BODY","width":618,"height":378,"altText":""},"AssociatedImage:{\"url\":\"https://techcommunity.microsoft.com/t5/s/gxcuf89792/images/bS00NDAxMDg4LVdrbEJ1RA?revision=24\"}":{"__typename":"AssociatedImage","url":"https://techcommunity.microsoft.com/t5/s/gxcuf89792/images/bS00NDAxMDg4LVdrbEJ1RA?revision=24","title":"clipboard_image-1-1743794367190.png","associationType":"BODY","width":1100,"height":582,"altText":""},"AssociatedImage:{\"url\":\"https://techcommunity.microsoft.com/t5/s/gxcuf89792/images/bS00NDAxMDg4LVQ1R1hZRQ?revision=24\"}":{"__typename":"AssociatedImage","url":"https://techcommunity.microsoft.com/t5/s/gxcuf89792/images/bS00NDAxMDg4LVQ1R1hZRQ?revision=24","title":"clipboard_image-1-1745010446770.png","associationType":"BODY","width":992,"height":546,"altText":""},"BlogTopicMessage:message:4401088":{"__typename":"BlogTopicMessage","subject":"Optimizing Azure Healthcare Multimodal AI Models for Intel CPU Architecture","conversation":{"__ref":"Conversation:conversation:4401088"},"id":"message:4401088","revisionNum":24,"uid":4401088,"depth":0,"board":{"__ref":"Blog:board:HealthcareAndLifeSciencesBlog"},"author":{"__ref":"User:user:2501703"},"teaser@stripHtml({\"removeProcessingText\":true,\"truncateLength\":-1})":"","introduction":"","metrics":{"__typename":"MessageMetrics","views":514},"postTime":"2025-04-23T14:14:21.728-07:00","lastPublishTime":"2025-04-23T14:23:55.994-07:00","body@stripHtml({\"removeProcessingText\":true,\"removeSpoilerMarkup\":true,\"removeTocMarkup\":true,\"truncateLength\":-1})":" Alexander Mehmet Ersoy, Principal Product Manager, Microsoft HLS AI \n Abhishek Khowala, Principal AI Engineer, Intel \n Ravi Panchumarthy, AI Framework Engineer, Intel \n Srinarayan Srikanthan, AI Framework Engineer, Intel \n Ekaterina Aidova, AI Frameworks Engineer, Intel \n Alberto Santamaria-Pang, Principal Applied Data Scientist, Microsoft HLS AI and Adjunct Faculty at Johns Hopkins Medicine, Microsoft Peter Lee, Applied Scientist, Microsoft HLS AI and Adjunct Assistant Professor at Vanderbilt University Ivan Tarapov, Sr. Director, Microsoft HLS AI \n The Rise of Multimodal AI in Healthcare \n The healthcare sector is witnessing a surge in the adoption of multimodal AI models, which are crucial for applications ranging from diagnostics to personalized treatment plans. These models combine data from various sources such as medical images, patient records, and genomic data to provide comprehensive insights. Microsoft’s Azure AI Foundry's Model Catalog of multimodal healthcare foundation models is at the forefront of this change. Models recently launched (such as MedImageInsights, MedImageParse, CXRReportGen [8], and many others) are designed to help healthcare organizations rapidly build and deploy AI solutions tailored to their specific needs, while minimizing the extensive compute and data requirements typically associated with building multimodal models from scratch. Real-World Examples from our industry partners regarding the adoption of multimodal AI models are highlighted in the article “Unlocking next-generation AI capabilities with healthcare AI models”. \n Challenges and Opportunities in Hardware Optimization \n As models get more complex, which is the case with the foundation model trend, the demands on the hardware rise. While GPUs remain the platform of choice for minimizing the model execution times, CPUs present substantial optimization possibilities, especially for inference workloads. We believe that providing a framework for efficient CPU-based environments holds a huge potential for many production scenarios where speed can be traded off for cost savings. \n With multimodal healthcare AI, the complexity of handling different data modalities and ensuring efficient inference requires innovative solutions and collaboration between industry leaders. Companies are increasingly looking towards hardware-specific optimizations to enhance model efficiency and reduce latency while keeping costs at bay. Intel, with its robust suite of AI tools and extensions for frameworks like PyTorch, is pioneering this optimization effort. For instance, the Intel® Distribution of OpenVINO™ toolkit has been instrumental in accelerating the development of computer vision and deep learning applications in healthcare [1]. You can learn about our recent collaboration with Intel on AI optimizations to advance medical innovations in the article \"Empower Medical Innovations: Intel Accelerates PadChest & fMRI Models on Microsoft Azure* Machine Learning”. \n The demand for AI applications in healthcare is rapidly increasing. Multimodal AI models, which can process and analyze complex datasets, are essential for tasks such as early disease detection, treatment planning, and patient monitoring. While optimizing these models to perform efficiently on specific hardware is important, it is not necessarily a barrier to adoption. Models optimized with CUDA for Nvidia GPUs often deliver optimal performance and run faster than on any other hardware. However, the benefit of using CPUs lies in the tradeoff they offer. You can choose to optimize for speed by running your model on a GPU and optimizing for it in PyTorch, or you can optimize for cost by sacrificing speed. This is the proposition here: the option to run the model slower with an accessible CPU, which can be advantageous in scenarios where speed is not the primary concern, but access to GPU hardware is. The Intel® oneAPI Deep Neural Network Library (oneDNN) have proven effective in reducing GPU requirement burden and accelerating time to market for AI solutions [2]. Both Intel® Extension for PyTorch (IPEX) and OpenVINO utilize the Intel® oneDNN to accelerate deep learning operations, taking advantage of underlying hardware features. IPEX optimizes existing PyTorch workflows with minimal code changes. OpenVINO provides cross-platform deep learning optimization for deployment flexibility. \n In this blog post, a custom deployment was implemented using CXRReportGen along with both IPEX and OpenVINO optimizations, demonstrating how these techniques can support different deployment scenarios and technical requirements. This optimization is accessible through Azure's compute services and Intel's technology. \n Benchmarking and Performance Acceleration \n To address these challenges, our new collaboration with Intel focuses on leveraging Intel’s advanced AI tools and hardware capabilities to optimize multimodal AI models for greater healthcare access. By utilizing Intel's Extension for PyTorch and other optimization techniques, we aim to optimize CPUs for best model run time speed. While this may slightly degrade performance, the main benefit is addressing the problem of GPU hardware scarcity. This partnership not only underscores the importance of hardware-specific optimizations but also sets a new standard for AI model deployment in real-world healthcare applications. \n Both IPEX and OpenVINO are built on a common foundation - Intel® oneDNN which is a high-performance library designed specifically for deep learning applications and optimized for Intel architecture. oneDNN leverages specialized hardware instructions available in Intel processors such as Intel® Advanced Vector Extensions 512 (Intel® AVX-512) Vector Neural Network Instructions (VNNI) and Intel® Advanced Matrix Extensions (Intel® AMX) [3] on Intel CPUs as well as Intel XeMatrix Extensions (XMX) AI engines on Intel discrete GPUs. \n \n Figure 1: OneDNN Library \n IPEX [4] extends PyTorch* with the latest performance optimizations for Intel hardware [5]. It leverages oneDNN under the hood to provide optimized implementations of key operations. This allows developers to stay within their existing PyTorch code with minimal changes - making it an excellent choice for teams already comfortable with the PyTorch ecosystem who want to quickly optimize their models for Intel hardware. \n import torch\n############## import ipex ###############\nimport intel_extension_for_pytorch as ipex\nmodel = Model()\nmodel.eval()\n############## Optimize with IPEX ###############\nmodel = ipex.optimize(model, dtype=torch.bfloat16)\n\n# Continue with inference as normal \n Figure 2. Intel Extension for PyTorch \n The Intel® Distribution of OpenVINO™ toolkit is a powerful solution for optimizing and deploying deep learning models across a wide range of Intel hardware [6]. Like IPEX, it leverages oneDNN under the hood, but takes a different approach - offering cross-platform optimization and flexible deployment options. OpenVINO supports two main workflows: a convenience workflow, where you run models directly with minimal setup, and a performance workflow, recommended for production, where models are first converted offline into the OpenVINO Intermediate Representation (IR). This one-time conversion step enables highly optimized inference and allows the final application to remain lightweight and efficient. \n Here’s a simple example using OpenVINO for inference with a pre-converted IR model. Refer to OpenVINO Notebooks repo for more samples: \n import openvino as ov\n\ncore = ov.Core()\n\n############## Load the OpenVINO IR model ###############\n\ncompiled_model = core.compile_model(\"model.xml\", \"CPU\")\n\n############## Run inference ###################\n\ninfer_request = compiled_model.create_infer_request()\n\nresults = infer_request.infer({input_tensor_name: input_tensor}) \n \n \n Figure 3: OpenVINO toolkit Overview. \n IPEX and OpenVINO are supported in all Intel architectures. However, for optimal performance, Intel recommends using instances powered by 4th Gen Intel® Xeon® Scalable processors or newer, which feature AMX and other hardware acceleration capabilities, such as Azure’s v6-series (e.g., Standard_E48s_v6) [7]. \n Results \n We conducted a detailed performance benchmark by using CXRReportGen, a state-of-the-art foundation model designed to generate a list of radiological findings from chest X-rays, over Standard_E48s_v6 hardware (48 vCPUs, 248 GiB RAM) with and without IPEX and OpenVINO optimization. We realized up to 70% improvement in CXRReportGen foundation model run time when applying optimizations with IPEX and similarly substantial gains using OpenVINO, compared to the non-optimized baseline on the same CPU hardware. This significant improvement highlights the potential of leveraging Intel's performance optimizations to make critical healthcare AI models more cost-efficient and accessible. Such advancements enable healthcare providers to deploy advanced diagnostic tools even in resource-constrained environments, ultimately improving patient care and operational efficiency. \n \n SKU \n \n Run Type (100 Runs) \n \n Mean Run Time (seconds) \n \n Standard Deviation of Run Time (seconds) \n \n Standard_E48s_v6 (48 vCPUs, 348 GiB RAM) \n \n No Optimization \n \n 22.47 \n \n 0.1061 \n \n Standard_E48s_v6 (48 vCPUs, 348 GiB RAM) \n \n IPEX \n \n 8.21 \n \n 0.2375 \n \n Standard_E48s_v6 (48 vCPUs, 348 GiB RAM) \n \n OpenVINO \n \n 7.01 \n \n 0.0569 \n \n Table 1: Performance Comparison of CXRReportGen Model Across 100 Runs with CPU. \n \n Future Prospects and Innovations \n Our benchmarks with Intel optimizations with both IPEX and OpenVINO show great potential on decreasing the model run time of our foundation models and increasing scalability via CPU. This optimization positions Intel CPUs as a viable deployment. This not only increases deployment options but also offers opportunities to reduce cloud costs with CPU-based instances and even consider deploying these workflows on existing compute headroom at the edge. For custom deployments, the setup described in this blog post is now available on the provided compute instances in Azure and with optimization software from Intel. So that developers can optimize inference workloads while taking advantage of large memory pools available via CPU and use towards handling large batch workloads. Our advancements with Intel in model runtime optimizations are considered to be available in the Azure AI model catalogs. Please stay tuned for further updates. \n As we continue to innovate and optimize, the potential for AI to transform healthcare and improve patient outcomes becomes increasingly attainable. We are now more equipped than ever to making it easier for our partners and customers to create connected experiences at every point of care, empower their healthcare workforce, and unlock the value from their data using data standards that are important to the healthcare industry. \n References \n [1] Intel OpenVINO Optimizes Deep Learning Performance for Healthcare Imaging \n [2] Accelerating Healthcare Diagnostics with Intel oneAPI and AI Tools \n [3] Intel Advanced Matrix Extensions \n [4] Intel Extension for Pytorch \n [5] Accelerate with Intel Extension to PyTorch \n [6] Intel Accelerates PadChest and fMRI Models on Azure ML \n [7] Azure’s first 5th Gen Intel® Xeon® processor instances are now available and we're excited! \n [8] CxrReportGen Model Card in Azure AI Foundry \n The healthcare AI models in Azure AI Foundry are intended for research and model development exploration. The models are not designed or intended to be deployed in clinical settings as-is nor for use in the diagnosis or treatment of any health or medical condition, and the individual models’ performances for such purposes have not been established. You bear sole responsibility and liability for any use of the healthcare AI models, including verification of outputs and incorporation into any product or service intended for a medical purpose or to inform clinical decision-making, compliance with applicable healthcare laws and regulations, and obtaining any necessary clearances or approvals. ","body@stripHtml({\"removeProcessingText\":true,\"removeSpoilerMarkup\":true,\"removeTocMarkup\":true,\"truncateLength\":-1})@stringLength":"12246","kudosSumWeight":0,"repliesCount":0,"readOnly":false,"images":{"__typename":"AssociatedImageConnection","edges":[{"__typename":"AssociatedImageEdge","cursor":"MjUuMXwyLjF8b3wyNXxfTlZffDE","node":{"__ref":"AssociatedImage:{\"url\":\"https://techcommunity.microsoft.com/t5/s/gxcuf89792/images/bS00NDAxMDg4LTI0aGt0cw?revision=24\"}"}},{"__typename":"AssociatedImageEdge","cursor":"MjUuMXwyLjF8b3wyNXxfTlZffDI","node":{"__ref":"AssociatedImage:{\"url\":\"https://techcommunity.microsoft.com/t5/s/gxcuf89792/images/bS00NDAxMDg4LVdrbEJ1RA?revision=24\"}"}},{"__typename":"AssociatedImageEdge","cursor":"MjUuMXwyLjF8b3wyNXxfTlZffDM","node":{"__ref":"AssociatedImage:{\"url\":\"https://techcommunity.microsoft.com/t5/s/gxcuf89792/images/bS00NDAxMDg4LVQ1R1hZRQ?revision=24\"}"}}],"totalCount":3,"pageInfo":{"__typename":"PageInfo","hasNextPage":false,"endCursor":null,"hasPreviousPage":false,"startCursor":null}},"videos":{"__typename":"VideoConnection","edges":[],"totalCount":0,"pageInfo":{"__typename":"PageInfo","hasNextPage":false,"endCursor":null,"hasPreviousPage":false,"startCursor":null}},"coverImage":null,"coverImageProperties":{"__typename":"CoverImageProperties","style":"STANDARD","titlePosition":"BOTTOM","altText":""}},"Conversation:conversation:4405458":{"__typename":"Conversation","id":"conversation:4405458","topic":{"__typename":"BlogTopicMessage","uid":4405458},"lastPostingActivityTime":"2025-04-17T10:48:37.450-07:00","solved":false},"User:user:2974455":{"__typename":"User","uid":2974455,"login":"Marjorie_Veihl","registrationData":{"__typename":"RegistrationData","status":null},"deleted":false,"avatar":{"__typename":"UserAvatar","url":"https://techcommunity.microsoft.com/t5/s/gxcuf89792/m_assets/avatars/default/avatar-11.svg?time=0"},"id":"user:2974455"},"AssociatedImage:{\"url\":\"https://techcommunity.microsoft.com/t5/s/gxcuf89792/images/bS00NDA1NDU4LW5tMjYzbg?revision=1\"}":{"__typename":"AssociatedImage","url":"https://techcommunity.microsoft.com/t5/s/gxcuf89792/images/bS00NDA1NDU4LW5tMjYzbg?revision=1","title":"Picture1.jpg","associationType":"COVER","width":1128,"height":635,"altText":""},"AssociatedImage:{\"url\":\"https://techcommunity.microsoft.com/t5/s/gxcuf89792/images/bS00NDA1NDU4LTlaT2hGQw?revision=1\"}":{"__typename":"AssociatedImage","url":"https://techcommunity.microsoft.com/t5/s/gxcuf89792/images/bS00NDA1NDU4LTlaT2hGQw?revision=1","title":"clipboard_image-1-1744910659975.png","associationType":"BODY","width":1355,"height":804,"altText":""},"AssociatedImage:{\"url\":\"https://techcommunity.microsoft.com/t5/s/gxcuf89792/images/bS00NDA1NDU4LWtMUktRMA?revision=1\"}":{"__typename":"AssociatedImage","url":"https://techcommunity.microsoft.com/t5/s/gxcuf89792/images/bS00NDA1NDU4LWtMUktRMA?revision=1","title":"clipboard_image-2-1744910659990.png","associationType":"BODY","width":1355,"height":804,"altText":""},"AssociatedImage:{\"url\":\"https://techcommunity.microsoft.com/t5/s/gxcuf89792/images/bS00NDA1NDU4LTBpRHMxVg?revision=1\"}":{"__typename":"AssociatedImage","url":"https://techcommunity.microsoft.com/t5/s/gxcuf89792/images/bS00NDA1NDU4LTBpRHMxVg?revision=1","title":"clipboard_image-3-1744910659996.png","associationType":"BODY","width":1383,"height":417,"altText":""},"BlogTopicMessage:message:4405458":{"__typename":"BlogTopicMessage","subject":"A specialty-specific approach with Microsoft Dragon Copilot","conversation":{"__ref":"Conversation:conversation:4405458"},"id":"message:4405458","revisionNum":1,"uid":4405458,"depth":0,"board":{"__ref":"Blog:board:HealthcareAndLifeSciencesBlog"},"author":{"__ref":"User:user:2974455"},"teaser@stripHtml({\"removeProcessingText\":true,\"truncateLength\":-1})":"","introduction":"Reducing specialists’ documentation burden with enhanced specialty specific clinical notes.","metrics":{"__typename":"MessageMetrics","views":1686},"postTime":"2025-04-17T10:48:37.450-07:00","lastPublishTime":"2025-04-17T10:48:37.450-07:00","body@stripHtml({\"removeProcessingText\":true,\"removeSpoilerMarkup\":true,\"removeTocMarkup\":true,\"truncateLength\":-1})":" Clinicians are at the heart of patient care, and the documentation they create shapes how that care is delivered, interpreted, and continued. Nearly 70% of the global medical workforce—around 9 million practitioners, according to recent World Health Organization data—are specialists whose work spans a wide range of disciplines and care settings. As these specialties evolve, so do their documentation needs to ensure the highest quality and accurate care. \n Each specialty brings its own documentation requirements. Orthopedics relies heavily on imaging reports, physical exam findings, and procedural notes. Preventive Medicine, on the other hand, focuses on understanding the breadth of the patient’s conditions and proactive measures to promote health. Across care settings—from outpatient clinics to emergency departments to inpatient units—documentation also varies in its requirements. \n Accurate, specialty-specific documentation supports not only improved patient outcomes but also the broader healthcare ecosystem—from ensuring appropriate reimbursement to enabling clinical research and the development of more targeted treatments. When designed to meet the needs of specialists, documentation becomes more than a requirement—it becomes a tool for delivering better care. \n Purpose-built with clinicians \n Microsoft Dragon Copilot enhances the clinician experience by streamlining the creation of medical notes tailored to each specialty’s unique requirements. Powered by advanced natural language processing, Dragon Copilot recognizes and adapts to the specific needs of disparate medical fields. This enables clinicians to focus more on patient care and less on administrative work, enhancing both efficiency and satisfaction. \n Built for continuous learning and adaptation, Dragon Copilot helps specialists keep pace with the evolving clinical guidelines, medical standards, and billing requirements with Microsoft’s dedicated team of medical professionals including MD’s (Doctor of Medicine), RN’s (Registered Nurse), and APP’s (Advanced Practice Provider). In a field shaped by constant change, this agility helps to ensure documentation stays accurate and relevant. At the core of this innovation is Microsoft’s deep, daily engagement with clinicians using Dragon Copilot. \n Through a diverse network—physicians, advanced care practitioners, coders, and other healthcare professionals—Microsoft works directly with those on the front line of care. This network, and other early access participants, work alongside Microsoft’s in-house clinical experts and researchers to co-design, test, and refine Dragon Copilot. \n This close partnership brings real-world insight into the development process, helping us ensure Dragon Copilot aligns with the practical, specialty-specific needs of medical professionals. By embedding clinical knowledge and clinician feedback into each iteration, we deliver a solution that is not only clinically accurate but also intuitive and trusted. \n This is about more than building a better product experience—it is about fostering trust and ownership among clinicians with technology that fits naturally into their everyday practice, supports their expertise, and helps them deliver the highest quality care. \n The power of a specialty-optimized approach \n Dragon Copilot is built on a trusted core medical model, fine-tuned on millions of real-world patient encounters. From this core medical foundation, the model is then adapted and optimized for each specialty—integrating clinical experts’ knowledge and research, national association recommendations, and feedback from clinicians. This layered approach supports outputs that are not only medically accurate but also aligned with the documentation standards and workflows clinicians depend on in their daily practice. The system evolves with changes in clinical guidelines and inputs from practicing specialists. This iterative process keeps Dragon Copilot current, relevant, and reflective of both specialty-specific requirements and real-world practice. \n By aligning note content with specialty-specific standards, Dragon Copilot helps reduce cognitive load, minimize documentation errors, and shorten the time needed to complete and sign notes. The result is a more efficient workflow that enhances both the quality of care and patient data processing. \n \n “By teaming up with specialty providers, Microsoft has elevated the quality and accuracy of notes—making my documentation clearer, more robust yet concise, and significantly improving readability for both patients and fellow providers. Additionally, this update also greatly improved the capture of physical exam findings.” Eric Alford, M.D. Baylor Scott & White Health \n \n Consider ophthalmology: clinical guidelines in this specialty require documentation of complex decision-making—such as discussing lens implant options in a way that balances clinical appropriateness with individual patient preferences. Dragon Copilot helps to capture both, generating documentation that is structured and personalized to each unique patient encounter. \n \n \n Or take psychiatry: the mental status exam is a crucial component of the evaluation for informed decisions about the patient's treatment. Dragon Copilot supports by capturing this comprehensive assessment essential for tracking the patient's progress over time. \n \n Customization that reflects the art of medicine \n Specialty-specific notes are only part of the solution—clinician satisfaction and adoption rely on meaningful customization. Documentation is personal, and no two clinicians document the same way. Microsoft Dragon Copilot is designed with that in mind, offering customizable templates and flexible styles that align with individual preferences and workflows. \n \n “I think the potential of Dragon Copilot is going to be even greater as we start to bring in local vernacular, and the ability to help each doctor tune their note to their appropriate desires because one person's note that is too brief is another one that's too long for someone else”- R. Hal Baker, MD, SVP and CIO, Wellspan Health \n \n This level of personalization preserves each clinician’s unique voice while enhancing the accuracy, completeness, and efficiency of documentation. By bridging standardized requirements with specialty-specific content and individual style, Dragon Copilot supports a more seamless and effective documentation experience. Tailoring technology to meet the diverse needs of clinicians not only enhances satisfaction and adoption but contributes to better care delivery across the healthcare system. \n Trustworthy AI by design \n Microsoft Dragon Copilot is built on a secure data estate and incorporates healthcare-adapted clinical, chat and compliance safeguards for accurate and safe AI outputs. Dragon Copilot also aligns to Microsoft’s responsible AI principles to help guide AI development and use — transparency, reliability and safety, fairness, inclusiveness, accountability, privacy, and security. \n We invest in technical performance through regular assessments, building trust with medical professionals. This process looks for potential biases and errors, enabling timely corrections and continuous improvements across specialties. With a strong focus on inclusiveness, Dragon Copilot supports a wide range of medical practices and specialties, reflecting the diverse needs of clinicians and patients. \n By upholding these principles, Microsoft drives innovation while helping to safeguard the interests of both patients and healthcare providers. These commitments set a high standard for trustworthy AI in healthcare. \n \n \n Looking ahead \n Clinical documentation should tell the complete story of a patient’s care—clearly and comprehensively—for the stakeholders involved. We are excited to keep innovating around specialty-specific clinical documentation and beyond—and we want you to be part of it. Your feedback fuels our progress. Together, we can improve clinician well-being and keep the focus where it belongs: on patient care. \n Learn more \n \n Watch an on-demand demo \n Take a deeper look at Dragon Copilot \n Explore the latest with our new health AI models and integrations \n ","body@stripHtml({\"removeProcessingText\":true,\"removeSpoilerMarkup\":true,\"removeTocMarkup\":true,\"truncateLength\":-1})@stringLength":"8292","kudosSumWeight":1,"repliesCount":0,"readOnly":false,"images":{"__typename":"AssociatedImageConnection","edges":[{"__typename":"AssociatedImageEdge","cursor":"MjUuMXwyLjF8b3wyNXxfTlZffDE","node":{"__ref":"AssociatedImage:{\"url\":\"https://techcommunity.microsoft.com/t5/s/gxcuf89792/images/bS00NDA1NDU4LW5tMjYzbg?revision=1\"}"}},{"__typename":"AssociatedImageEdge","cursor":"MjUuMXwyLjF8b3wyNXxfTlZffDI","node":{"__ref":"AssociatedImage:{\"url\":\"https://techcommunity.microsoft.com/t5/s/gxcuf89792/images/bS00NDA1NDU4LTlaT2hGQw?revision=1\"}"}},{"__typename":"AssociatedImageEdge","cursor":"MjUuMXwyLjF8b3wyNXxfTlZffDM","node":{"__ref":"AssociatedImage:{\"url\":\"https://techcommunity.microsoft.com/t5/s/gxcuf89792/images/bS00NDA1NDU4LWtMUktRMA?revision=1\"}"}},{"__typename":"AssociatedImageEdge","cursor":"MjUuMXwyLjF8b3wyNXxfTlZffDQ","node":{"__ref":"AssociatedImage:{\"url\":\"https://techcommunity.microsoft.com/t5/s/gxcuf89792/images/bS00NDA1NDU4LTBpRHMxVg?revision=1\"}"}}],"totalCount":4,"pageInfo":{"__typename":"PageInfo","hasNextPage":false,"endCursor":null,"hasPreviousPage":false,"startCursor":null}},"videos":{"__typename":"VideoConnection","edges":[],"totalCount":0,"pageInfo":{"__typename":"PageInfo","hasNextPage":false,"endCursor":null,"hasPreviousPage":false,"startCursor":null}},"coverImage":{"__typename":"UploadedImage","url":"https://techcommunity.microsoft.com/t5/s/gxcuf89792/images/bS00NDA1NDU4LW5tMjYzbg?revision=1"},"coverImageProperties":{"__typename":"CoverImageProperties","style":"STANDARD","titlePosition":"BOTTOM","altText":""}},"Conversation:conversation:1207139":{"__typename":"Conversation","id":"conversation:1207139","topic":{"__typename":"BlogTopicMessage","uid":1207139},"lastPostingActivityTime":"2023-08-23T22:10:05.531-07:00","solved":false},"User:user:465974":{"__typename":"User","uid":465974,"login":"clairebonaci","registrationData":{"__typename":"RegistrationData","status":null},"deleted":false,"avatar":{"__typename":"UserAvatar","url":"https://techcommunity.microsoft.com/t5/s/gxcuf89792/images/dS00NjU5NzQtMTU5MDI5aUYzNjBENDY3NDc3NEZGNDY"},"id":"user:465974"},"AssociatedImage:{\"url\":\"https://techcommunity.microsoft.com/t5/s/gxcuf89792/images/bS0xMjA3MTM5LTE3NDczMmlDMEY0NUQ0MjM0REFENjlG?revision=1\"}":{"__typename":"AssociatedImage","url":"https://techcommunity.microsoft.com/t5/s/gxcuf89792/images/bS0xMjA3MTM5LTE3NDczMmlDMEY0NUQ0MjM0REFENjlG?revision=1","title":"Tile%20slide%20teaser%2011-25.png","associationType":"TEASER","width":999,"height":562,"altText":null},"BlogTopicMessage:message:1207139":{"__typename":"BlogTopicMessage","subject":"YOTNM Ep. 2: March is Colorectal Cancer Awareness month","conversation":{"__ref":"Conversation:conversation:1207139"},"id":"message:1207139","revisionNum":1,"uid":1207139,"depth":0,"board":{"__ref":"Blog:board:HealthcareAndLifeSciencesBlog"},"author":{"__ref":"User:user:465974"},"teaser@stripHtml({\"removeProcessingText\":true,\"truncateLength\":-1})":" Hear a personal journey of the importance of timely health screenings to proactively manage your health and wellbeing. Kathleen McGrow, DNP, CNIO, RN, MS, discusses Colorectal Cancer Awareness month in Episode 2 of Year of the Nurse & Midwife series. \n ","introduction":"","metrics":{"__typename":"MessageMetrics","views":2495},"postTime":"2020-03-03T09:40:49.912-08:00","lastPublishTime":"2020-03-03T09:40:49.912-08:00","body@stripHtml({\"removeProcessingText\":true,\"removeSpoilerMarkup\":true,\"removeTocMarkup\":true,\"truncateLength\":-1})":" Hear a personal journey of the importance of timely health screenings to proactively manage your health and wellbeing. Kathleen McGrow, DNP, CNIO, RN, MS, discusses Colorectal Cancer Awareness month in Episode 2 of Year of the Nurse & Midwife series. \n \n Claire: You're watching the Microsoft US health and life Sciences confessions of health geeks podcast. A show the offers industry insight from the health geeks and data freaks of the US health and life Sciences industry team. I'm your host, Claire Bonaci. As a part of the ongoing year of the nurse and midwife series, Kathleen McGrow, our Chief Nursing Information Officer will talk about the month of March as Colorectal Cancer Awareness Month. We will talk about how to overcome barriers to screening alternative screening methods for the future and why Kathleen is such an advocate for this cause. Enjoy the show. \n Thanks for joining Kathleen, how are you doing. so I know March is Colorectal Cancer Awareness month and we do have a lot to unpack and talk about. So Kathleen since you are a passionate advocate for colon cancer screening, do you mind telling us a little bit about that and why? \n \n Kathleen: Sure, thanks for having me Claire. I really appreciate it. For National Colon Cancer Awareness month, which as you know is the month of March I wanted to talk to you and send the message out to folks to be proactive and for people to get their colonoscopies. Which used to be at age 50 and has since 2018 been changed by the American Cancer Society, lowered its recommended screening to start at age 45. \n \n Claire: So what made you decide to get tested at age 50? \n \n Kathleen: So I'm at age 50. I thought, you know, I just wanted to be proactive. I'm a nurse. I like to try to make sure that I do what I need to do within my health care regimen. So I just went ahead. I scheduled my routine colonoscopy. I mean, I had my first colonoscopy right around age 50. It was actually at my 50th birth month and they had some findings that were positive, which was kind of a surprise for me. I do not have any family history of colon cancer in my family. When my doctor phoned me the first time, it was just to say that I had questionable pathology and he was going to send it out for further testing. \n \n Claire: Wow, thanks so much for sharing. So can you talk a little bit more about that process and anyone you know that has also gone through something similar? \n \n Kathleen: Sure, absolutely. So like I said, this was purely a check the box item for me. I figured up I wouldn't have to have it. You know, for 10 years and I do not have any family history of colon cancer. I was really surprised when I got that. You have cancer call. Not only that, you have 2 different types of cancer. So these can be started, something that you don't even know about. I was asymptomatic. I didn't have any problems or any issues. So through routine colonoscopy just screening. They actually found something that really could have been life threatening and detrimental to me. I actually do know of friends that you know, have waited till they're in their later 50s and have been diagnosed with Stage 3 in Stage 4 cancers, which as you know are much more difficult to treat and my provider told me if I had waited another 2 or 3 years I would have been much farther along and not had the good results that I had based on the types of cancers that I had. \n \n Claire: Wow, that does really show the importance of just the education. The patient education that you had to know that to go get screened and you know what you have to do. so you've been cancer free for 4 years now, that's amazing. Can you tell us a little bit about what advancements you're seeing in testing or diagnosis and the care pathway with this? \n \n Kathleen: Sure, you know what I'm getting to here is that I felt fine. I was just getting a routine check and I know for a lot of people it's really scary to think about the testing that you have to go through and the preparation for colonoscopy especially so I think that there are other things that will be coming along. Technology will be a game changer. I think if you had just even a blood test that you could do that could potentially identify a cancer that you may have and then kind of move on to the next steps of what you might need diagnostically. Um, it really would make a big difference, and it would make it much more pleasant. And more convenient for the patients. \n \n Claire: You've mentioned a little bit in the past of some of the testing that you can do in home and then send out and get at least a little bit of results to determine if you need to get a screening. \n \n Kathleen: That is correct. There are tests that they can actually send them to your home. I do not qualify for them now because I have had cancer, but for someone going in at 45 for a routine screening, they could actually do tested him, mail it back in, and then they'll get the results. And like I said, I do think that there are organizations that are working on other testing that can be done to kind of take the heavy lift of having the prep and the colonoscopy. You have to take 2 days off of work for the one for the prep and one for the procedure. and I think people really think about that. So that kind of is a deterrent for them. But I must say that it's really worth your time because you want to maintain yourself and be healthy, and it's better to know earlier than to not know until too late. \n \n Claire: Yeah, that's very true. The barriers to care are a huge issue and obviously patients need to work with their doctor for finding options that fit their routine, their personal preference and comfort level. So I know that there's also a lot of genetic testing going on in the market right now. Do you feel that this is relevant in this space? \n \n Kathleen: Yes, as a matter of fact I do. I actually had genetic testing done. I was in a study out of University of Sharp Memorial in the late 2000s, late 2000 like 7 or 8 and when I went back and looked at my genetic screening at the time I actually passed test it at high risk for Colon Carcinoma and I remember looking at my test when I got them back. At that time I didn't pick up on that and I really didn't even think anything about that. So obviously there was something there that I should have probably paid attention to, so I'm very grateful that. But at least being proactive in going during my, you know birth year for that, age 50, was so important that I tried to be proactive. \n \n Claire: And so what do you want to leave listeners with as we closeout? \n \n Kathleen: I think that I just wanted to tell my story. I'm totally clear now, but I highly advocate screenings and I tried to advocate when I talk to people when they tell me most people say I'm afraid or it takes too much time. So I try to tell them my story. My hope is one day is that will be able to have other options versus going through an entire prep and procedure. Something that maybe fits within folks routine or their personal preference and comfort level. I think doctors can guide you, but ultimately you need to be proactive. Be proactive and advocate for the option that suits you best. This will empower you as a person and as a patient. So I think working with health care professionals we can kind of overcome some of the barriers to \n screening and improve access to alternative screening methods, I'd say my final messages: Please be proactive with your health. Get your colonoscopy when due don't put it off or delay it could save your life. \n \n Claire: Great, well thank you so much Kathleen. I'm so glad you're cancer free now and I'm so happy that you're on the team and you're such an advocate for this. So thank you for talking to us today. \n Thank you all for watching For more information and resources on colorectal cancer, visit the colorectal cancer alliance website at www.ccalliance.org. We look forward to continuing the year of the nurse series next month with episode 3. Please feel free to leave us questions or comments below and check back soon for more content from the HLS industry team. \n \n Kathleen McGrow, DNP, CNIO, RN, MS \n Follow me on LinkedIn ","body@stripHtml({\"removeProcessingText\":true,\"removeSpoilerMarkup\":true,\"removeTocMarkup\":true,\"truncateLength\":-1})@stringLength":"8315","kudosSumWeight":0,"repliesCount":1,"readOnly":false,"images":{"__typename":"AssociatedImageConnection","edges":[{"__typename":"AssociatedImageEdge","cursor":"MjUuMXwyLjF8b3wyNXxfTlZffDE","node":{"__ref":"AssociatedImage:{\"url\":\"https://techcommunity.microsoft.com/t5/s/gxcuf89792/images/bS0xMjA3MTM5LTE3NDczMmlDMEY0NUQ0MjM0REFENjlG?revision=1\"}"}}],"totalCount":1,"pageInfo":{"__typename":"PageInfo","hasNextPage":false,"endCursor":null,"hasPreviousPage":false,"startCursor":null}},"videos":{"__typename":"VideoConnection","edges":[{"__typename":"VideoEdge","cursor":"MHxodHRwczovL3d3dy55b3V0dWJlLmNvbS93YXRjaD92PUltSlJKcmlSX3JjJnQ9NDlzfDB8MjU7MjV8fA","node":{"__typename":"AssociatedVideo","videoTag":{"__typename":"VideoTag","vid":"https://www.youtube.com/watch?v=ImJRJriR_rc&t=49s","thumbnail":"https://i.ytimg.com/vi/ImJRJriR_rc/hqdefault.jpg","uploading":false,"height":300,"width":400,"title":null},"videoAssociationType":"INLINE_BODY"}}],"totalCount":1,"pageInfo":{"__typename":"PageInfo","hasNextPage":false,"endCursor":null,"hasPreviousPage":false,"startCursor":null}},"coverImage":null,"coverImageProperties":{"__typename":"CoverImageProperties","style":"STANDARD","titlePosition":"BOTTOM","altText":""}},"Conversation:conversation:1589294":{"__typename":"Conversation","id":"conversation:1589294","topic":{"__typename":"BlogTopicMessage","uid":1589294},"lastPostingActivityTime":"2020-08-14T08:49:21.441-07:00","solved":false},"AssociatedImage:{\"url\":\"https://techcommunity.microsoft.com/t5/s/gxcuf89792/images/bS0xNTg5Mjk0LTIxMjQ0Nmk5Qjk4QzE1NzczMTg4QzhG?revision=1\"}":{"__typename":"AssociatedImage","url":"https://techcommunity.microsoft.com/t5/s/gxcuf89792/images/bS0xNTg5Mjk0LTIxMjQ0Nmk5Qjk4QzE1NzczMTg4QzhG?revision=1","title":"COHG logo.jpg","associationType":"TEASER","width":1920,"height":1080,"altText":null},"BlogTopicMessage:message:1589294":{"__typename":"BlogTopicMessage","subject":"Did you know Microsoft has the coolest internships?","conversation":{"__ref":"Conversation:conversation:1589294"},"id":"message:1589294","revisionNum":1,"uid":1589294,"depth":0,"board":{"__ref":"Blog:board:HealthcareAndLifeSciencesBlog"},"author":{"__ref":"User:user:465974"},"teaser@stripHtml({\"removeProcessingText\":true,\"truncateLength\":-1})":" Hear a firsthand account from our latest intern ","introduction":"","metrics":{"__typename":"MessageMetrics","views":3184},"postTime":"2020-08-14T08:49:21.441-07:00","lastPublishTime":"2020-08-14T08:49:21.441-07:00","body@stripHtml({\"removeProcessingText\":true,\"removeSpoilerMarkup\":true,\"removeTocMarkup\":true,\"truncateLength\":-1})":" \n Claire: You're watching the Microsoft US health and life Sciences Confessions of Health Geeks podcast. A show the offers industry insight from the health geeks and data freaks of the US health and life Sciences industry team. I'm your host, Claire Bonaci. On today's episode, I talked with our HLS industry team summer intern Param on how he spent his three months at Microsoft and what surprised him most. \n Claire Bonaci: So, welcome to the podcast Param. You are our summer intern on the HSL industry team and it's been really great to working with you. So I'd love to get your perspective over the last few months here. \n Param Mahajan: Thank you. Thank you for having me. A quick background about me. I'm a rising senior at Cornell. I'm double majoring in computer science and economics, and my experience has over here has been pretty great so far. I mean after COVID hit, I think my internship went virtual and I'm definitely missing out being in the cool NYC office of Microsoft. But I think the transition to a virtual internship was pretty efficient and effective. My team members were very reachable. The people I was working with always took out the time to meet me and help me out in my project. So people have been very accessible. People have always tried to help me out, so it's it's been a phenomenal experience. \n CB: That's great, yeah you do. You have a very impressive background. I know you worked at a digital services startup where you built an enterprise at health cloud and last summer you worked at PwC cyber division, assessing a market for a cyber threat simulator. So I guess you mind telling us a little bit about your experience as an intern at Microsoft, kind of what your project was, what you worked on for last three months. \n \n PM: Yeah, absolutely. So my project for this summer was to make a global point of view for the space of manufacturing in pharmaceutical and life Sciences, and internally for the healthcare and life Sciences team. This was an area which was lacking focus initially and it's a focus area for FY 21, which is why I was asked to focus in this area. In my project I made a global POV deck with an inventory of current assets, resources, solution areas, partner and user success stories. I worked with the healthcare and manufacturing teams from across the US, Europe and APAC. And I also work with a partner development teams at Microsoft to make sure that all the information is up-to-date and the most recent ones. In the latter half of my project, I made a selling strategy document. The thought behind making this document was that infield sellers for healthcare and life Sciences are more used to the health care domain and um so this setting strategy document was made to bridge the gap between the health care domain and the healthcare and manufacturing domains intersection. And this setting strategy document was divided into 6 solution areas with summarized links to either a user success story or a partnership story. And one key aspect of of the selling strategy document was that a lot of our manufacturing success stories are just that like they're only in the manufacturing domain. And we want to emphasize that OK, we're going to replicate that success as it pertains to, um, the healthcare and life Sciences sector as well. So there's that \n distinction in the document as well. So yeah, that's a brief summary of my project and we're waiting to do a final review, do some field tests and then it will go into the team sales \n pipeline. \n CB: That's great, yeah, I've been a little bit apart of what you've been doing the last three months and it has been very impactful. Very helpful. I'm really looking forward to using these documents in FY21 since I do think they're going to be really helpful for the team overall. So, given your extensive background, why did you actually choose to work at Microsoft? Why did you choose to intern here rather than some other companies? \n \n PM: Right. So as I said before, my background is in computer science and economics and I have always wanted to do a role which had elements of both. I like a role with client facing \n and business development elements. But I also like roles which have some technical elements that coding or technical analysis. So I think Microsoft as a company is one of the few companies that has a breadth of roles which which helps you choose an combine the \n elements of your background that you like an make a role that is very suitable for you. So that was a primary reason. And secondly I think the team's culture and the teams values \n really resonated with me. I think in, especially now that, I didn’t think of this like when I \n was choosing, but I I, I think, especially now in an era is like great income inequality's and great disparities in social justice. I think it's, uh, it's good to be working for a company which is not tone death, which takes these matters seriously, and which is actually reflects my values. So both of those combined, I think, helped me make my decision. \n CB: Those are all really great points and definitely one of the reasons that I came to Microsoft as well. So during your three months here, what surprised you the most? I know, yeah, your fresh, coming from college and obviously you have you had that experience \n working at a large company. So what kind of surprised you most here? \n \n PM: Yeah, so I think two things stood out for me. The first one was every company that I've worked at before and every [advert] every company that tries to advertise says that oh, bring your passion into work, speak about your passion. And let us know what your passion is, but I think your passion just stay that, like your passions outside of work and the one thing that pleasantly surprised me at Microsoft, especially in this internship was I spoke to my mentor and my manager about exploring some other roles which has surrounded the industry team for healthcare and life Sciences. And they were like OK if that's your passion, let's include that in one of as one of your deliverables or one of your core priorities. So I think my passions were really heard and they were not just like encouraged, but they were included in what I was supposed to do in this internship, so it's quantifiable. I actually had an opportunity to pursue them, so that was a pleasant surprise. And it was, it was great actually pursuing your passions as part of your job. And the second one was, I think I touched on this before was the breadth of roles. I've spoken to three to four people in the company that I've come in with a multidisciplinary background in computer science in health care, in ah business and you know, client relationship development. And these people have picked and chosen whatever aspects of their background they like and they have made or they have made their respective roles tailor made for themselves and they have been doing that for the past nine years. And I think that was a big big takeaway because listening to company say oh you can you know adjust your role, you have flexibility, that all sounds great, but I think having some of these people on my team interacting with them and seeing how they actually may like sometimes the seemingly most like weird roles, but now they are very sought after and valued and then an essential part of the team. I think that was a great surprise for me and it's very encouraging to me as well. \n \n CB: I think you really hit on the best parts of Microsoft for sure. And you have made a huge impact already, just in the three months you’re here. I'm really looking forward to hopefully working with you in the future. So again, thank you so much Param for talking to us explaining your internship and giving us a little bit about your insight and we look forward \n to seeing you in the future. \n PM: Absolutely, it was a pleasure. \n CB: Thank you all for watching. Please feel free to leave us questions or comments below and check back soon for more content from the HLS industry team. \n \n ","body@stripHtml({\"removeProcessingText\":true,\"removeSpoilerMarkup\":true,\"removeTocMarkup\":true,\"truncateLength\":-1})@stringLength":"9541","kudosSumWeight":0,"repliesCount":0,"readOnly":false,"images":{"__typename":"AssociatedImageConnection","edges":[{"__typename":"AssociatedImageEdge","cursor":"MjUuMXwyLjF8b3wyNXxfTlZffDE","node":{"__ref":"AssociatedImage:{\"url\":\"https://techcommunity.microsoft.com/t5/s/gxcuf89792/images/bS0xNTg5Mjk0LTIxMjQ0Nmk5Qjk4QzE1NzczMTg4QzhG?revision=1\"}"}}],"totalCount":1,"pageInfo":{"__typename":"PageInfo","hasNextPage":false,"endCursor":null,"hasPreviousPage":false,"startCursor":null}},"videos":{"__typename":"VideoConnection","edges":[{"__typename":"VideoEdge","cursor":"MHxodHRwczovL3lvdXR1LmJlLzVVaU9md3poRmlzfDB8MjU7MjV8fA","node":{"__typename":"AssociatedVideo","videoTag":{"__typename":"VideoTag","vid":"https://youtu.be/5UiOfwzhFis","thumbnail":"https://i.ytimg.com/vi/5UiOfwzhFis/hqdefault.jpg","uploading":false,"height":225,"width":400,"title":null},"videoAssociationType":"INLINE_BODY"}}],"totalCount":1,"pageInfo":{"__typename":"PageInfo","hasNextPage":false,"endCursor":null,"hasPreviousPage":false,"startCursor":null}},"coverImage":null,"coverImageProperties":{"__typename":"CoverImageProperties","style":"STANDARD","titlePosition":"BOTTOM","altText":""}},"Conversation:conversation:1457384":{"__typename":"Conversation","id":"conversation:1457384","topic":{"__typename":"BlogTopicMessage","uid":1457384},"lastPostingActivityTime":"2020-06-11T12:16:42.281-07:00","solved":false},"AssociatedImage:{\"url\":\"https://techcommunity.microsoft.com/t5/s/gxcuf89792/images/bS0xNDU3Mzg0LTE5ODIwMmlCMzlENEJBQTMwRDdGNUM5?revision=1\"}":{"__typename":"AssociatedImage","url":"https://techcommunity.microsoft.com/t5/s/gxcuf89792/images/bS0xNDU3Mzg0LTE5ODIwMmlCMzlENEJBQTMwRDdGNUM5?revision=1","title":"COHG logo.jpg","associationType":"TEASER","width":1920,"height":1080,"altText":null},"BlogTopicMessage:message:1457384":{"__typename":"BlogTopicMessage","subject":"Is AI part of your diversity & inclusion plan?","conversation":{"__ref":"Conversation:conversation:1457384"},"id":"message:1457384","revisionNum":1,"uid":1457384,"depth":0,"board":{"__ref":"Blog:board:HealthcareAndLifeSciencesBlog"},"author":{"__ref":"User:user:465974"},"teaser@stripHtml({\"removeProcessingText\":true,\"truncateLength\":-1})":" AI is top of mind for business leaders to transform processes but it must be built responsibly and ethically. ","introduction":"","metrics":{"__typename":"MessageMetrics","views":2778},"postTime":"2020-06-11T12:16:42.281-07:00","lastPublishTime":"2020-06-11T12:16:42.281-07:00","body@stripHtml({\"removeProcessingText\":true,\"removeSpoilerMarkup\":true,\"removeTocMarkup\":true,\"truncateLength\":-1})":" \n Claire Bonaci: You're watching the Microsoft US Health and Life Sciences, Confessions of Health Geeks podcast, a show that offers industry Insight from the health geeks and data freaks of the US health and life sciences industry team. I'm your host, Claire Bonaci. Today we'll talk about AI and ethics with Tom Lawry, our national director for AI in health and life sciences, and author of the book AI in health. This is episode three of our AI in health and life sciences series. And we'll cover the ethical issues and opportunities surrounding AI and how ethical leaders can build AI models ethically and responsibly. Welcome back for another episode Tom \n Tom Lawry : Hey Claire. Great to be back. \n Claire Bonaci: So let's talk about the ethics of AI. You devoted an entire chapter of your book to this topic. But how does AI actually relate to diversity and inclusion programs? And do you mind giving a few examples? \n Tom Lawry: Well, sure, let me start by saying two things come to mind. First, a quote from Tim Cook, the CEO of Apple who basically said, we get to choose whether we're going to use AI to the benefit of humanity, or use it to its detriment. And obviously, I know which one I want to pick. But you know, when it comes to using AI for good, kind of that second level below what Tim's talking about is, while AI can produce overall good on any problem we want to apply it to if it's applied on evenly, it can lead to inequitable use and impact across the populations we serve. I think that's especially true and important in healthcare. So with that, let me give you an example. So everyone listening and watching is now officially certified as a clinical leader or a hospital executive. So imagine in these role. We want to look at reducing adverse events that occur inside our hospital. An adverse event can be something like a hospital acquired infection, it can be something around a med surge patient comes in for basic procedure, they've had surgery, they're doing fine. They're about ready to be discharged. And all of a sudden, something happens where their heart stops, they stop breathing. They get coded. Instead of getting discharged, they end up in ICU. Those are adverse events. So we bring our data science and clinical leaders together, we work on a plan using predictive analytics and AI. We spin up an algorithm using real time data. And we're risk rating every inpatient to predict an adverse event with the hopes of preventing it. So on our pilot, we've done this and I'm proud to report that in the pilot, we're able to reduce adverse events by 60% in the hospital. So think about that, from a quality perspective decreasing adverse events is a huge quality improvement clinically. Financially, if we're reducing adverse events, meaning they go home, instead of going in ICU, we're making much better use of our economic resources. So I think on balance, everyone would agree. That's a huge win from a quality and a cost management standpoint. But what's important to do is pull back and say 60% is a statistical average. If that 60% is based on the fact that we were three times better able to predict adverse events in white males versus hispanic females, would that be okay? It's improving quality. It's reducing costs is producing overall good, but it's doing so unevenly and, and, you know, everything I just told as a story is compliant with HIPAA compliant with all regulatory legal issues. And those are the kind of things that are coming up across all segments, but particularly in healthcare when it comes to saying how do we provide AI in an ethical fashion? In this case, it's an example of having bias come into AI. \n Claire Bonaci: Okay, so you do mention bias. So how is it that bias even creeps into AI? \n Tom Lawry: Well, when it comes to bias being introduced and things like predictive capabilities, it can happen in any of a number of ways. Probably most often it happens because the the data we are using to drive algorithms has bias built in. Having said that, I pull back and say, for the most part, I've never seen or experienced a data set that's totally unbiased and healthcare. Bias comes in many forms. Many times it comes from the data representing the people we are serving. So here in America, no matter what you believe, legally, healthcare is not a right. So when you just think through that of all the people who are uninsured or under insured, they're showing up less for services because they can't afford if they don't have access. Therefore, the data that we're using on those patient populations that we have access to are skewed towards those that are well insured or have the ability to pay. So that alone then drives predictive bias when it comes to underrepresented certain populations. Bias can also come in the form of things like not purposeful, but in how developers and data scientists actually programming algorithm. Finally, it can come in things like as we create what are known as self learning algorithms. We're having an algorithm trying to solve a problem, and it uses its own set of computer logic to get there and there are times where to find the shortest path to solving what we ask it to do. It may take shortcuts, obviously unknowingly because that's an algorithm but that alone can produce bias when it comes to just a self learning algorithm trying to reach a goal without having other considerations built in. \n Claire Bonaci: Okay, so this really does go beyond the usual security and compliance rules and regulations. That's a great point. So I've heard you present in the past and you often ask the question, is AI part of your diversity and inclusion plan? Why is that such an important question to ask and what do you actually learn by asking that question? \n Tom Lawry: Well, again, if we come back to kind of the history and the parameters for healthcare in general, you know, having access, keeping all populations healthy is a huge issue and a big goal. What what I see is a lot of great work being done by healthcare organizations of all stripes that really are focusing on diversity, inclusion and everything else they do, how staff are being trained how patients are and consumers are being treated and managed to make sure there is this equality, on accessibility on how we treat them. So what's interesting is you can have the best programs for things like that. And back to the story I just told, if people aren't paying attention to how AI is coming in and becoming pervasive in the organization, there's another whole set of biases, things that create the unequal distribution of the benefit of AI that are creeping in at the same time we're trying to address it or all those other normal realms. So just throwing that out as a provocative question is a way of saying, you know, diversity inclusion cuts across all things we do to try and ensure that the best quality and accessibility for all of the populations we serve. \n Claire Bonaci: So you have mentioned that AI must be designed responsibly, and that's definitely a given. So where does ethical AI actually fit into responsible inclusive design and who is responsible to ensure that AI is designed and deployed responsibly? \n Tom Lawry: Well, another great question. You know, when it comes to, you know, looking at how, again, many times technology will get out ahead of the regulators and the legislators. So, sooner or later, I believe there will be regulations and other things that catch up with the technology. But for now, again, you can do something that's legally correct. Regulatorily correct. And still have things like bias and other things. So So when it comes to solving for that it does come down to effective design. And effective design starts with leaders, not necessarily the technical leaders. First of all, understanding and recognizing the issues. We see leaders and healthcare, getting very excited about AI, hiring data science teams, putting things in the field. And they're not having the conversation around things like stress testing, whatever they're putting in the field for things like buying For things like transparency. So good design starts with healthcare leaders really making the issue of, you know, principle the AI principles being applied to anything they're putting in place. Beyond that, when it comes to those actually developing, deploying and managing things like predictive capabilities, a lot of that comes down to I can create an algorithm that is has high correlational value on average. But what I really want to know is, is there variance in my predictive capability across all the populations I'm serving? So that gets down to things like stress testing that algorithm, not just for the overall averages I mentioned in my story, but looking at, you know, how effective is it when it comes to the same predictive capabilities, by gender, by race, by age by any of a number of factors that can be looked at and tested for. And so it really is doubling down on not just saying this is an algorithm that has high correlational value in general. But to be able to say the variance between that producing good in a white male, hispanic female, anyone is, is within a range, that would be acceptable. Again, it's highly unlikely you'd have something that's equal across all populations. But it's more a matter of making sure you're mindful of stress testing, looking at having very little variance. So it's doing good for all of those we're serving. \n Claire Bonaci: Okay, and definitely just incorporating the health organization, the actual developer, just twofold or threefold of whoever is involved in creating them. That's great. \n Tom Lawry: Yeah, absolutely. And then so take it a step farther. You know, what we're seeing is there's a lot of AI coming into healthcare organizations that's being generated by the organization themselves. But increasingly, it's all of those major vendors that serve healthcare organizations that are infusing AI into their own products. And so I believe there'll be a time in the not too distant future where the majority of our of intelligence is really going to be coming from the EMRs, and the lab systems and radiology. And once again, it's critically important for organizations who are using those vendors to hold them up to the same standards they're holding themselves up to. So that's where we're starting to talk with our clients about things like as you're putting out an RFP for a new system, or an RFI, what are the criteria you're baking in? That's asking that vendor for not only the roadmap for infusing intelligence, but what they are doing to safeguard against things like bias and and incredibly important as we look at moving ahead. \n Claire Bonaci: That's actually one of my next questions of if there was one question that you would ask leaders or vendors to ensure that they're actually starting on the right path to ethical AI? Would it be related to RFPs in that RFP process \n Tom Lawry: Typically, if you look at the purchasing process for anything, that's that's kind of where the logistics come into play. But more importantly, it's conversations like this just to make leaders aware and mindful of AI can produce great good overall. But if you know if it's spotty if it's uneven across the populations we serve, chances are that is not in keeping with the mission of most of the organizations that I get to work with. And probably the number one thing whether you're, you know, the CEO of a major vendor, or you know, you're the product development, vice president or whether you're the hospital CEO or the chief medical officer, just being mindful of, again, the general theme of AI can do good, but if it's being applied unevenly And benefiting some and not all. I think that's a big issue in healthcare. \n Claire Bonaci: Yeah, so definitely the education piece is huge. Would you share a societal issue that you're most looking forward to seeing AI tackle in the diversity and inclusion or accessibility space? \n \n Tom Lawry: Wow, that's a big question. I think I may need another webcast for that. Um, you know, a lot of what we're talking about already on just making sure that you know, all the people we serve are having reasonably good and equal access is key. And probably the one that comes to mind right now, just given the fact that COVID is on everyone's mind. We had a situation a few weeks ago, where the Washington Post did a really great article on how COVID was affecting black communities and neighborhoods at a much higher rate than anyone else. And what's interesting is, there are a number of factors there. Everyone's still trying to get a handle on on why certain populations like African Americans are being affected more than others. But this was a great article from the The Post that basically covered one neighborhood in North Milwaukee and how that it had been decimated with COVID. Even though the African American population is a small percentage of the overall population in that state, and as I read that article, they were talking about a lot of social economic factors. And it got me thinking so I went out we have a great partner called Jvion has put together a tool using predictive capabilities that basically looks at COVID vulnerability by geography, so you can look by state by county down to a neighborhood level. So after reading that article, I went out and use this tool and I zoomed in on Milwaukee in North Milwaukee, and I saw exactly what this article is covering where that neighborhood was. Very high propensity for COVID. And what was interesting is if you look at the mapping, neighborhoods that literally were right next door were very low vulnerability. And it showed the uneven nature. And then the beauty of this is it drove a lot of this by showing the differences in social determinant data. So I look at that. Therein lies a lot of information that would allow us to basically get ahead of that to not only understand it, but to be able to prevent it. So going forward, that was a long answer and story. Imagine being able to use AI, and whether it's COVID or anything else to look at a social issue or a medical issue, to get it down to being able to predict here are the hotspots in this community for this problem, and then being able to get out ahead of those problems by deploying resources to either prevent from happening particularly in vulnerable populations, where to minimum mitigating the impact of something that's happening for one population if for whatever reason it's not happening with other populations, so hot spotting, using a lot of data and predicting to really even out some of these social issues in our communities. \n Claire Bonaci: That's a great example and very relevant today. So thank you so much, Tom, and I'm looking forward to having you back next time. \n Tom Lawry: Hey, thanks. always appreciate, you know, coming in and talking with you Claire. \n Claire Bonaci: Thank you all for watching. To purchase Tom's book, visit www.CRCpress.com. We look forward to continuing the AI and health series next month. Please feel free to leave us questions or comments below and check back soon for more content from the HLS industry team. \n ","body@stripHtml({\"removeProcessingText\":true,\"removeSpoilerMarkup\":true,\"removeTocMarkup\":true,\"truncateLength\":-1})@stringLength":"15271","kudosSumWeight":1,"repliesCount":0,"readOnly":false,"images":{"__typename":"AssociatedImageConnection","edges":[{"__typename":"AssociatedImageEdge","cursor":"MjUuMXwyLjF8b3wyNXxfTlZffDE","node":{"__ref":"AssociatedImage:{\"url\":\"https://techcommunity.microsoft.com/t5/s/gxcuf89792/images/bS0xNDU3Mzg0LTE5ODIwMmlCMzlENEJBQTMwRDdGNUM5?revision=1\"}"}}],"totalCount":1,"pageInfo":{"__typename":"PageInfo","hasNextPage":false,"endCursor":null,"hasPreviousPage":false,"startCursor":null}},"videos":{"__typename":"VideoConnection","edges":[{"__typename":"VideoEdge","cursor":"MHxodHRwczovL3lvdXR1LmJlLzM4WTMyRVNkQm93fDB8MjU7MjV8fA","node":{"__typename":"AssociatedVideo","videoTag":{"__typename":"VideoTag","vid":"https://youtu.be/38Y32ESdBow","thumbnail":"https://i.ytimg.com/vi/38Y32ESdBow/hqdefault.jpg","uploading":false,"height":225,"width":400,"title":null},"videoAssociationType":"INLINE_BODY"}}],"totalCount":1,"pageInfo":{"__typename":"PageInfo","hasNextPage":false,"endCursor":null,"hasPreviousPage":false,"startCursor":null}},"coverImage":null,"coverImageProperties":{"__typename":"CoverImageProperties","style":"STANDARD","titlePosition":"BOTTOM","altText":""}},"Conversation:conversation:1418726":{"__typename":"Conversation","id":"conversation:1418726","topic":{"__typename":"BlogTopicMessage","uid":1418726},"lastPostingActivityTime":"2020-05-26T12:09:29.884-07:00","solved":false},"AssociatedImage:{\"url\":\"https://techcommunity.microsoft.com/t5/s/gxcuf89792/images/bS0xNDE4NzI2LTE5NDUyNGlFMDM0NDYzOTVEN0JDNkJC?revision=1\"}":{"__typename":"AssociatedImage","url":"https://techcommunity.microsoft.com/t5/s/gxcuf89792/images/bS0xNDE4NzI2LTE5NDUyNGlFMDM0NDYzOTVEN0JDNkJC?revision=1","title":"COHG logo.jpg","associationType":"TEASER","width":1920,"height":1080,"altText":null},"BlogTopicMessage:message:1418726":{"__typename":"BlogTopicMessage","subject":"YOTNM Ep 6: Community engagement is the impetus for innovative technology","conversation":{"__ref":"Conversation:conversation:1418726"},"id":"message:1418726","revisionNum":1,"uid":1418726,"depth":0,"board":{"__ref":"Blog:board:HealthcareAndLifeSciencesBlog"},"author":{"__ref":"User:user:465974"},"teaser@stripHtml({\"removeProcessingText\":true,\"truncateLength\":-1})":" \n Listen to real world examples of how inclusive design empowers everyone. ","introduction":"","metrics":{"__typename":"MessageMetrics","views":3129},"postTime":"2020-05-26T12:09:29.884-07:00","lastPublishTime":"2020-05-26T12:09:29.884-07:00","body@stripHtml({\"removeProcessingText\":true,\"removeSpoilerMarkup\":true,\"removeTocMarkup\":true,\"truncateLength\":-1})":" \n Claire: You're watching the Microsoft US Health and Life Sciences Confessions of Health Geeks podcast. A show that offers industry insight from the health geeks and data freaks of the US Health and Life Sciences industry team. I'm your host, Claire Bonaci. Welcome to this episode of YOTNM series focused on community engagement and the impact of nurses in their communities. \n Welcome Kathleen, Tracy and special guest Keola to the confessions of health Geeks podcast. \n \n Tracy: Thank you, \n \n Kathleen: Thank you. \n \n Claire: So let's get started. So Tracy, you are the Accessibility lead for the USHLS industry and I know you have a few announcements for us. Can you explain what they are? \n \n Tracy: Yes, May is actually quite busy. We start off with May as nurses month as the greater part of Year of the Nurse and Midwife 2020. It's also mental health Awareness Month. On May 21st we have GAD, which is the Global Accessibility Awareness Day. That's the 9th anniversary and then to round out May we actually have the 10 th anniversary of Microsoft's Ability summit this year. It is going to be virtual, but it's going to be 2 half day. So Wednesday, May 27 and Thursday, May 28th. The Ability summit brings together people with disabilities, allies and accessibility professionals to really imagine and define the future of disability inclusion and accessibility. And when we look at accessibility from the perspective of healthcare, really we see that we have a great need to build out our communities to create innovative technology that impacts everybody. And when we look at our communities, we look at it's not just the clinician and patient but also the families and the caregivers and the technologists all coming together into this community to create community engagement. Because that's how we drive to really innovative technologies and these technologies that are being created are amazing. So I think at the heart of Ability summit is that community engagement and innovation. \n \n Claire: Thanks so much Tracy, for bringing that up. Actually, I was lucky enough to attend the Ability summit last year with you and it really is an amazing event. It's just a lot of energy and a lot of great announcements as well. And that brings up a good point that fits very well with nurses month and community engagement. So Keola, you have a unique story to tell on the impact technology has had on your life. Do you mind sharing? \n \n Keola: Yeah, sure, thank you. I'm looking forward to that ability summit to Tracy. Actually, probably talk to you a little bit later on about that. So thank you for sharing. Currently I'm a user researcher here at Microsoft, but actually I started out in health care as a clinical trials researcher. And I worked with people who have spinal cord injury and traumatic brain injury. After that I actually then went into oncology clinical trials, so it was pretty much pure health care. But then I made a jump into technology. And I joined a company where we were creating wearable devices for people who \n are visually impaired to help them navigate their indoor surroundings. And we were also creating robots to help people at home who were quadriplegic and at that point that's actually where things change. Life took a different turn. You see throughout this time my father was the primary caretaker for my stepmother who had ALS. And by that she was actually also a registered nurse. She was an RN and it was hard because at this time the disease had progressed to the point where she was quadriplegic and she was confined to her bed for a couple years now and it was very hard 'cause she could still sense and feel pain and discomfort while she was in bed and to try to alleviate that and to prevent bed sores and things like that she had to change her position every hour or so and my father would be responsible for doing that. And so at that point, he really asked me since I was at this company that was doing a lot of like you know, healthcare, technology and devices. He asked if I could actually create an eye controlled hospital bed. So my step mom could adjust the position of her bed on her own 'cause she was a very fiercely independent person before ALS as you can imagine, an RN, very tough, tough people and to give her back that at least one level of Freedom. Again what it would have been great for her. Yeah, and so I said yes. Of course. I can't say no to across the request like that. So I tried but the company I was at the time I didn't have the resources and that's when I moved to Microsoft and it was there at Microsoft where I heard about the annual hackathon project and I thought that would be perfect opportunity to make that this dream kind of come true and happen. And that's really the start of it. The stars aligned and I was able to assemble and lead a team of over 20 very talented engineers and designers and researchers for the hackathon that also had a personal vested interest in creating a system like that. It was amazing story. After getting to know each one of them hearing why they were part of this team and what drew them to it. I mean it was it was very heartwarming. But that's for a different story too. But we were able to do it. Long story short in about 5 grueling days we were able to create a system that would transform a standard hospital bed in to one that could be controlled simply by the patient in the bed using their eye gaze to control the position of the bed itself. And we did really well that year at the hackathon. Sadly, my stepmother passed away before we could show her that the project. But still, you know, continue on anyway. In her memory, and it did well. Well, I was really proud and happy to see something like that comes to fruition, but it was only the start. \n \n Claire: So that really is an amazing story. And that's actually where you met Kathleen. So do you mind telling us a little bit about the impact Kathleen, as a nurse had to that hackathon? \n \n Keola: Oh yeah, certainly. So as mentioned before, we did a great job that first year and we were trying to partner with some of the local ALS groups to try to get this technology out there. I did. We did well that we wanted to continue on the following year. So the second year came about. The hackathon was there. I put together the team again and we're leading phase two. Well, we had a lot of insights from our own previous experiences and research with patients having Kathleen and her experiences as a health professional really helped to validate and improve our system. Basically that second year we were restricted in time again and access to who we could actually test the system with. Of course there's a lot of regulations and things like that and safety measures we didn't have the ability to do multiple iterative testing with actual patients so Kathleen was great because she was basically our subject matter expert at the time and so her insights, her experience, you know, was really able to help us make sure we were building the thing right and she went through it as a subject matter expert again and called out things that could be improved and validated. The things that were correct and she also added some insights to really make this more inclusive. Two in particular, one of the aspects that we were having some challenges with was this hardware mounting platform. And as you know, Microsoft were a software company for not such a hardware company, but she was really brought to the to our attention that we had to make this more inclusive based on a particular disease progression. The way the alignment of the user and the way that it was it was mounted had to be more adjustable and things like that. So that's much detail. Though we created some designs, we kept Kathleen constantly in contact with her while she was part of the team. And we made the improvements to the system. So at the end of the phase two or second year of the hackathon, the system is so much better. And all thanks to Kathleen's contributions and insights, and I think that is one of the most important things on why it's so important to have health care professionals on the frontline be working together with technologists to help improve this because it's hard, you know, we are in some sense working in a vacuum when we build these things. An interesting like that is quite literally my job as a user researcher is trying to get out of the vacuum and bring the appropriate people into context. If I cannot speak with people who are the actual users, next best thing are subject matter experts as like people like Kathleen. So you know if people have insights. If people have these experiences because they're there. The ones on the front lines, you know it is so crucial to hear them and hear their voice. and I just encourage anyone. If they had the opportunity to share that with someone who's building something like Microsoft Teams to definitely do that. \n \n Claire: So that's an amazing story. And Kathleen and you were instrumental in bringing a clinician's point of view to the hackathon. And we also know that the particular hack that you mentioned was third place internationally and 1st place locally. So congrats again and clearly nurses need to be on the forefront of these technologies so that they work for both the patient and the clinician. So, Kathleen, what message would you want nurses to hear on the impact that they could have on technological advancements today? \n \n Kathleen: So thanks for that Keola. I appreciate those kind words. So actually I was a Microsoft boomerang and I was newly back to the company and I was really just interested in getting connected and exposed other groups within Microsoft and also, I’m a remote employee. So I did everything remotely so it does prove that you can participate in hackathons virtually and when I review the different hack opportunities I kind of saw this one that had a goal of making life better for people with ALS. I think that was your main goal, Keola. When I look through it and my background, my nursing background, trauma, critical care. My hospital was a head and spinal cord center for our region. I've taken care of many patients with disabilities including paraplegia and quadriplegia. So I thought maybe \n my clinical expertise would be a value, so I reached out to Keola. He was very welcoming and he added me to the team. The team was fabulous to work with. I really enjoyed it. I had a lot of fun. I think that a lot of nurses we have so much experience that and we also have some great ideas where we really can be additive to systems engineering and designing. If nurses are included. I think they can really contribute to the technology and they can be a real value. So really nurses can make invaluable contributions. They can bring a lot to the discussions. Nurses also benefit when they contribute on working with new technology, so I got as much out of it, I think is hopefully I contributed. \n \n Claire: Great. Well thank you so much for explaining that. And thank you again, Kathleen, Tracy and Keola for being on the podcast and for this valuable and unique insights. Thank you all for watching. please feel free to leave us questions or comments below and check back soon for more content from The HLS Industry team \n ","body@stripHtml({\"removeProcessingText\":true,\"removeSpoilerMarkup\":true,\"removeTocMarkup\":true,\"truncateLength\":-1})@stringLength":"11477","kudosSumWeight":1,"repliesCount":0,"readOnly":false,"images":{"__typename":"AssociatedImageConnection","edges":[{"__typename":"AssociatedImageEdge","cursor":"MjUuMXwyLjF8b3wyNXxfTlZffDE","node":{"__ref":"AssociatedImage:{\"url\":\"https://techcommunity.microsoft.com/t5/s/gxcuf89792/images/bS0xNDE4NzI2LTE5NDUyNGlFMDM0NDYzOTVEN0JDNkJC?revision=1\"}"}}],"totalCount":1,"pageInfo":{"__typename":"PageInfo","hasNextPage":false,"endCursor":null,"hasPreviousPage":false,"startCursor":null}},"videos":{"__typename":"VideoConnection","edges":[{"__typename":"VideoEdge","cursor":"MHxodHRwczovL3lvdXR1LmJlL1hSSUZ3TVo4NW5ZfDB8MjU7MjV8fA","node":{"__typename":"AssociatedVideo","videoTag":{"__typename":"VideoTag","vid":"https://youtu.be/XRIFwMZ85nY","thumbnail":"https://i.ytimg.com/vi/XRIFwMZ85nY/hqdefault.jpg","uploading":false,"height":225,"width":400,"title":null},"videoAssociationType":"INLINE_BODY"}}],"totalCount":1,"pageInfo":{"__typename":"PageInfo","hasNextPage":false,"endCursor":null,"hasPreviousPage":false,"startCursor":null}},"coverImage":null,"coverImageProperties":{"__typename":"CoverImageProperties","style":"STANDARD","titlePosition":"BOTTOM","altText":""}},"Conversation:conversation:1322549":{"__typename":"Conversation","id":"conversation:1322549","topic":{"__typename":"BlogTopicMessage","uid":1322549},"lastPostingActivityTime":"2020-04-20T12:58:00.892-07:00","solved":false},"AssociatedImage:{\"url\":\"https://techcommunity.microsoft.com/t5/s/gxcuf89792/images/bS0xMzIyNTQ5LTE4NTQ0MGk3OTA5QjdEM0EzRjNBQTZC?revision=3\"}":{"__typename":"AssociatedImage","url":"https://techcommunity.microsoft.com/t5/s/gxcuf89792/images/bS0xMzIyNTQ5LTE4NTQ0MGk3OTA5QjdEM0EzRjNBQTZC?revision=3","title":"Volunteer blog teaser.jpg","associationType":"TEASER","width":1280,"height":720,"altText":null},"BlogTopicMessage:message:1322549":{"__typename":"BlogTopicMessage","subject":"YOTNM Ep 4: National Volunteer Week April 19-25, 2020","conversation":{"__ref":"Conversation:conversation:1322549"},"id":"message:1322549","revisionNum":3,"uid":1322549,"depth":0,"board":{"__ref":"Blog:board:HealthcareAndLifeSciencesBlog"},"author":{"__ref":"User:user:465974"},"teaser@stripHtml({\"removeProcessingText\":true,\"truncateLength\":-1})":" \n We are a community of volunteers. We would love to hear about your volunteer experiences. Please share below. #volunteering #NVW ","introduction":"","metrics":{"__typename":"MessageMetrics","views":2327},"postTime":"2020-04-20T12:23:48.394-07:00","lastPublishTime":"2020-04-20T12:58:00.892-07:00","body@stripHtml({\"removeProcessingText\":true,\"removeSpoilerMarkup\":true,\"removeTocMarkup\":true,\"truncateLength\":-1})":" We are a community of volunteers. We would love to hear about your volunteer experiences. Please share below. #volunteering #NVW \n \n Claire: You're watching the Microsoft US Health and Life Sciences Confessions of Health Geeks podcast. A show the offers industry insight from the health geeks and data freaks of the US Health and Life Sciences industry team. I'm your host, Claire Bonaci. \n April 19th to the 25th is National Volunteer Week, and given the current situation, it's important to identify how we can give back and help our communities. So for this episode of the Year of the Nurse and Midwife Series, I'll be interviewing Molly and Kathleen. Two clinicians on the US industry team on their experiences volunteering, and they all share several ideas where you can participate now as well. \n Claire: Hi Kathleen Hi Molly. \n Molly: Hi, how are you doing Claire. Good morning. \n Claire: Thanks so much for joining me today. I know this is not an easy time right now. We know that the Red Cross is seeking blood donations. Food banks are struggling and people are really looking for opportunities to engage and give back during the shelter in place time. And both of you have been very involved in your communities. You give your skills and time and so much more to volunteering. So before we get into some ideas you have for how to help. My question for both of you is tell us why volunteering is such a priority for you. \n Molly: I think volunteering, you know, always been a priority in my life, just especially around some of the causes that I'm passionate about and that really marry some of my interests. So, for example, right now I'm raising funds for Leukemia & Lymphoma Society. As well as doing an event with their Team in Training group. So really, bringing together my passion for Cancer Research as well as my passion, quite frankly, for bike riding and other athletic endeavors. So that's just one example and really giving back to the community and helping those that are truly less fortunate or not in an optimal position at this point in their lives. \n Claire: That's great, and Kathleen, do you have any examples? \n Kathleen: So I've been volunteering both in the US and out of the country for many, many years. Today I'd actually like to talk a little bit about my volunteer work with the American Red Cross. I've been working with them for about 3 years now. My main reason really was I wanted to contribute to my local community, both my city and my county. And in my current role as a disaster action team member I can actually do that. We respond to emergencies on the state and local level. For example, my team responds to all the house and apartment fires that impact people in my county an my nearby city in Baltimore City in Baltimore County. So if there is a house fire or apartment fire and people are impacted, I go to the scene of the fire. I assess the situation. I look out for the needs of the clients and kind of understand what their needs are and how the American Red Cross can help them. We assist in a few ways we can help with funding so they can find temporary housing like a hotel. \n Get basic essentials like diapers. And then educate the clients on what the next steps would be because most people have lost all of their belongings, all of their documentation. They need to contact agencies to let them know that they no longer have these things and need to obtain them. So you know what really they need to do for next steps and just kind of reassure them that there is someone here to help them through the process. If there's multiple families involved, we may actually set up a shelter to house those multiple families. We usually have a metric that we use on when we actually go into shelter mode. And then we also respond to national, excuse me, natural disasters. \n And my first natural disaster happened to be right in my neighborhood and right down the street from me within 2 miles where we had massive flooding. My house was flooded 3 feet. Which I was very fortunate, my family was able to help me, but there were so many people that everything was just wiped out. We have caved in homes, they had nowhere to go. So it really was a horrific event and that was literally I think I was at the Red Cross for about four months at that point in time. So it really made me realize that I can impact my own community and help the people within my own community. \n Claire: I'm sure that you both felt that Microsoft is very supportive of your ability to give back. \n Molly: Yeah, definitely. I think you know part of our culture at Microsoft is giving. We actually have a give site where we're encouraged every year, and you know I think people inherently here want to give back, want to help, especially right now. And not so much as throughout the Microsoft culture, but within our own health and life science industry team. As you know, we spend time during our offsite meetings doing volunteer work. Most recently organizing medical supplies out in the Denver area. So it's really part of who we are in our goal to give back. And more recently Microsoft does support Red Cross. I know Kathleen, you're doing some work in your community, locally. Here in the Washington DC area, we recently had a blood drive. So donating blood, I think right now, is of upmost importance. So I really encourage all the listeners today to take a look at the Red Cross site and see where blood donations might be needed within their community. \n Kathleen: I agree. I agree with Molly. We all inherently want to help people and everyone is so grateful when they have someone who come comes and helps them. The Red Cross has a ton of volunteer opportunities. You do not have to be a clinician. They do a great job at training and education so anyone is able and willing to can volunteer and find a task that suits them. So, I highly advocate that if that's an avenue where people would like to use their time. If you're looking for some way to volunteer maybe with your family at this point with COVID-19, I would even suggest that you write a letter or card or send an E-card to a clinical staff or to a hospital in your area. As a nurse when you're really working hard, those little types of things can just brighten up your day and make a huge difference in a huge emotional impact for that clinical staff. And I would challenge others to share their volunteer experience so that we can see that it is doable and maybe motivate other folks to volunteer. \n Molly: Great, thanks Kathleen. All really good points. I think there's so many opportunities. You know, I think it's right now to get involved in your local community is probably one of the most important whether that's working with, I know in DC here, we have a diaper bank and it's pretty low on supplies or something like a food bank or even just supporting your local small businesses. Quite frankly, the restaurants that you might enjoy maybe going out or carrying out, food from there. That's just one example. The other example is if you are a clinician and maybe not practicing right now, signing up for the medical reserve core within your area. I just signed up for the one in Washington DC last week, should they need anyone. I also reached out to some of my clinician friends just to touch base and see how they're doing your and really to your point Kathleen, around thanking a nurse, I know that yesterday was world health day and its also volunteer week. I think it’s really important that the public really recognizes our frontline workers who are going to work everyday. Really just giving back in some small ways in terms of time, and messages of thank you. \n Claire: Well thank you, I love all of those ideas. So do you have any parting words for our listeners. \n Molly: Coffee. , if your local coffee shop is donating, I know one of my local coffee shops is donating to front line clinicians, that’s an idea as well. I’m just thinking of what they might need. I’m also partnering with a group here called Devenio (https://www.devenio.org/). It’s an organization that was supposed to have an in person run this spring and instead theyre taking all their give aways and donating them to front line workers like nice bags and we’re contributing some year of the nurse water bottles to that. So really looking for new ideas of partnering with local organizations as well. \n Claire: That's great. Kathleen anything from you? \n Kathleen: I'd like to hear what other folks were doing because I know that we are not the only ones that are doing volunteer work. So, it would be really great within our community to understand what other folks are doing so that we can evangelize that and promote that as well. \n Claire: So thank you so much, Kathleen and Molly for explaining why this is important to you and getting some great ideas on how everyone can give back. \n Before you go, this is your chance to share how you're giving back this month. Comment below on what volunteer work you been involved in and challenge those around you to get involved. ","body@stripHtml({\"removeProcessingText\":true,\"removeSpoilerMarkup\":true,\"removeTocMarkup\":true,\"truncateLength\":-1})@stringLength":"9081","kudosSumWeight":0,"repliesCount":0,"readOnly":false,"images":{"__typename":"AssociatedImageConnection","edges":[{"__typename":"AssociatedImageEdge","cursor":"MjUuMXwyLjF8b3wyNXxfTlZffDE","node":{"__ref":"AssociatedImage:{\"url\":\"https://techcommunity.microsoft.com/t5/s/gxcuf89792/images/bS0xMzIyNTQ5LTE4NTQ0MGk3OTA5QjdEM0EzRjNBQTZC?revision=3\"}"}}],"totalCount":1,"pageInfo":{"__typename":"PageInfo","hasNextPage":false,"endCursor":null,"hasPreviousPage":false,"startCursor":null}},"videos":{"__typename":"VideoConnection","edges":[{"__typename":"VideoEdge","cursor":"MHxodHRwczovL3d3dy55b3V0dWJlLmNvbS93YXRjaD92PWR0alVPU0o4ZjBVfDB8MjU7MjV8fA","node":{"__typename":"AssociatedVideo","videoTag":{"__typename":"VideoTag","vid":"https://www.youtube.com/watch?v=dtjUOSJ8f0U","thumbnail":"https://i.ytimg.com/vi/dtjUOSJ8f0U/hqdefault.jpg","uploading":false,"height":225,"width":400,"title":null},"videoAssociationType":"INLINE_BODY"}}],"totalCount":1,"pageInfo":{"__typename":"PageInfo","hasNextPage":false,"endCursor":null,"hasPreviousPage":false,"startCursor":null}},"coverImage":null,"coverImageProperties":{"__typename":"CoverImageProperties","style":"STANDARD","titlePosition":"BOTTOM","altText":""}},"Conversation:conversation:1311171":{"__typename":"Conversation","id":"conversation:1311171","topic":{"__typename":"BlogTopicMessage","uid":1311171},"lastPostingActivityTime":"2020-04-16T08:25:29.016-07:00","solved":false},"AssociatedImage:{\"url\":\"https://techcommunity.microsoft.com/t5/s/gxcuf89792/images/bS0xMzExMTcxLTE4NDY4NGk2QTFEMTVFQzkyOEMxQkY0?revision=3\"}":{"__typename":"AssociatedImage","url":"https://techcommunity.microsoft.com/t5/s/gxcuf89792/images/bS0xMzExMTcxLTE4NDY4NGk2QTFEMTVFQzkyOEMxQkY0?revision=3","title":"Tile%20slide%20teaser%2011-25.png","associationType":"TEASER","width":999,"height":562,"altText":null},"BlogTopicMessage:message:1311171":{"__typename":"BlogTopicMessage","subject":"Understanding Health Plans with Sam Robinson","conversation":{"__ref":"Conversation:conversation:1311171"},"id":"message:1311171","revisionNum":3,"uid":1311171,"depth":0,"board":{"__ref":"Blog:board:HealthcareAndLifeSciencesBlog"},"author":{"__ref":"User:user:465974"},"teaser@stripHtml({\"removeProcessingText\":true,\"truncateLength\":-1})":" \n On episode 1 health plan expert Sam Robinson talks about social determinants of health and the relevance in today's society. ","introduction":"","metrics":{"__typename":"MessageMetrics","views":2464},"postTime":"2020-04-16T08:24:43.141-07:00","lastPublishTime":"2020-04-16T08:25:29.016-07:00","body@stripHtml({\"removeProcessingText\":true,\"removeSpoilerMarkup\":true,\"removeTocMarkup\":true,\"truncateLength\":-1})":" On episode 1 health plan expert Sam Robinson talks about social determinants of health and the relevance in today's society. \n \n \n Claire: You're watching the Microsoft US Health and Life Sciences Confessions of Health Geeks podcast. A show that offers industry insight from the health geeks and data freaks of the US Health and Life Sciences industry team. I'm your host, Claire Bonaci. Today we begin a Health Plan series with Sam Robinson, our National Director for US health plans, discussing social determinants of health and the biggest myth he wants to clear up about SDOH. Hi, Welcome Sam, our health plan expert. Thanks so much for joining us today. \n Sam: Thanks Claire, thanks for inviting me on the podcast. \n Claire: Yeah, of course. So we've been hearing a lot about social determinants of health or SDOH. And often SDOH is conflated with population health. Can you explain what SDOH means from a health plan perspective and give the listeners a quick run down on the differences between the two. \n Sam: Let's start from the beginning. Social determinants of health are really a way to collect and measure the factors that happen to you and affect healthcare and health expenditures outside of what happens within a care setting. Think of a care setting as you go to the doctor or you go to the hospital. Outside of that your diet, your exercise, all the things you've been told by your doctor all these years. That actually affects your overall health and your health expenditures. Generally we break down social determinants of health into some very broad categories now that it's getting a lot more attention. Economic categories - think of income is the major driver of that. Another closely related is education. So first of all we don't have much of a literacy problem in this country but we have some. Can you read, can you understand in the language that is presented to you? Can you understand what people are telling you in the health system. Big problem. Then in addition we do find higher education level, the different experiences, or how you'll consume resources. Environmental factors are huge, pollution, noise, light pollution. all that affects your health outside of it. Do you live in an environment that is conducive to that? Food. You're hearing a lot in the news now about how to get food to people that need it. The term they use now is food insecure for example. What that means is that you don't know where you'll get healthy food at an affordable price day to day. And social. Social covers a lot. I know we're on a bit of social media here but what is your support environment. Do you have people that can bring you food, that can make sure you're taken care of? That your prescriptions are taken care of. And lastly, health itself I know that gets the most attention but do you have access to providers and hospitals, are you covered, do you have insurance. And all those factors and even literacy again, how much do you understand when someone is talking to you about the health insurance industry, what that means or the health provider industry, what that means. And these factors can determine a lot of things. So at a population level, you mention population health, where do I need to address programs, where do I need to help people in specific areas that may need more food or more services. And secondly on an individual level, gosh if I could measure everything that happens to you outside of the healthcare system could I design programs or know your ability to take up programs that would help your overall health outcomes. \n Claire: That's great, I love that you bring up healthy food not just food and the mental health piece of do you have support system and people around you. Those are very important. I love that you bring them up. So these ideas of SDOH, social risk factors, population health are not new. So why do you think these terms are now entering the mainstream of US health markets? Why now basically. \n Sam: Well there's lots of reasons. First, health like every part of our society is trendy. As soon you have an acronym, SDOH that you just said, thank you for that. That SDOH acronym, everyone wants to do it, every company, provider, vendor of any sort is now jumping on the SDOH band wagon. but more importantly it gets at a very core concept. We talked about population health and often its conflated, population health and social determinants. You hear that a lot when you talk to folks, aren't they the same thing? No in fact population health is for a given group of people, however you define them, geographically, by employer, however you define them, how can I maximize the health outcomes of that entire group. And then when we look at that we look at the second part of population health which is are we equitably putting resources to that group to get everyone a similar health outcome. SDOH on the other hand is a way of getting that additional information and moving that into that process so that we can distribute resources within that population to raise everyone's health. And this has implications for individual health, for overall expenditures, all the way through to even a pandemic where you want to know who needs what resources when to maximize their health outcomes but also maximize what the entire population is doing because as we've seen now and all the time is your health affects everyone else and everyone else affects yours. So we all should be in the business of population health because we want to raise everyone's health to a new standard. \n Claire: Okay, so these factors are actually really helpful to health plans and health systems \n to help the community overall. \n Sam: Absolutely, it is what they do day to day. You could even say that a health plan is in the business of population health. \n Claire: So Sam as health plans initiatives related to social determinants of health grow and \n there is a greater clarity around these concepts, what factors are needed for a strong implementation and evaluation? \n Sam: Sure, I'll give you the top three factors. Data, Data, Data. We need the data. So what's really interesting is it's caused a revolution in the business. So these are new data sources, some we've had around but not at these levels. Think of zip plus four information. What are people around you, believe it or not, we tend to group as people. Your neighborhood that you're sitting in right now watching this, is going to affect generally who you are. It tells us income level generally, eating habits, health habits, exercise habits, things of that nature. So that information is great, we've had it. Now combine that up with new data, fitness data, other data that comes in. That's great we have all these new sources. What we're finding is they have to be combined with the existing experience sources. So what is your care sources, from providers, clinical information, claims information. and that generally is used for transactional purpose and hasn't been digitized in a way that we can combine it with other sources. It might be digitized in a data warehouse that you've had for 30 years but isn't that useful. But now combining that up with the holy grail which we call longitudinal record or health record or longitudinal health record of you incorporates that and even other sources, like your social media if you'll let us get it. Then measuring that and saying \"how did we do?\" we expected them to use this program did they do it? and that gives us what? More data right. And how do we combine that performance data back in. \n Claire: Great, it comes down to insights and data that makes sense. \n Sam: That's right, simple. \n Claire: Sam we have 1 minute left what is the biggest myth about SDOH that you want to address? \n Sam: Well that its the next silver bullet. We talked about that at the very beginning. We love a trend we love to bring things in. But it's not. There is no silver bullet. We have a very complex payment and delivery system in this country and its all mixed into winners and losers and that makes it difficult. But what's key about SDOH is it's changing the conversation from how do I do better health care delivery, ie how do I deliver a service better, how do I get people out of the hospital quicker, or do I avoid hospitalization. All care, care, care, it's important in disease management to health outcomes. How do I make sure everyone in my population is reaching their maximum health potential. That is fantastic as us as a country, for health payors specifically. And even eventually to providers once they adjust to the new health outcomes mantra. And through payment mechanisms like value based payments we're starting to move the needle a little bit but SDOH provides key information that will help us deliver on health outcomes and truly make it an affordable proposition for everyone in this country not just those that can afford it. \n Claire: Great, well thank you so much Sam! \n Sam: Thank you for having me. \n Claire: Thank you all for watching. We look forward to having Sam back next month. Please feel free to leave us questions or comments below and check back soon for more content from The HLS Industry team ","body@stripHtml({\"removeProcessingText\":true,\"removeSpoilerMarkup\":true,\"removeTocMarkup\":true,\"truncateLength\":-1})@stringLength":"9214","kudosSumWeight":0,"repliesCount":0,"readOnly":false,"images":{"__typename":"AssociatedImageConnection","edges":[{"__typename":"AssociatedImageEdge","cursor":"MjUuMXwyLjF8b3wyNXxfTlZffDE","node":{"__ref":"AssociatedImage:{\"url\":\"https://techcommunity.microsoft.com/t5/s/gxcuf89792/images/bS0xMzExMTcxLTE4NDY4NGk2QTFEMTVFQzkyOEMxQkY0?revision=3\"}"}}],"totalCount":1,"pageInfo":{"__typename":"PageInfo","hasNextPage":false,"endCursor":null,"hasPreviousPage":false,"startCursor":null}},"videos":{"__typename":"VideoConnection","edges":[{"__typename":"VideoEdge","cursor":"MHxodHRwczovL3d3dy55b3V0dWJlLmNvbS93YXRjaD92PVdTUU5TWllZVTU4fDB8MjU7MjV8fA","node":{"__typename":"AssociatedVideo","videoTag":{"__typename":"VideoTag","vid":"https://www.youtube.com/watch?v=WSQNSZYYU58","thumbnail":"https://i.ytimg.com/vi/WSQNSZYYU58/hqdefault.jpg","uploading":false,"height":225,"width":400,"title":null},"videoAssociationType":"INLINE_BODY"}}],"totalCount":1,"pageInfo":{"__typename":"PageInfo","hasNextPage":false,"endCursor":null,"hasPreviousPage":false,"startCursor":null}},"coverImage":null,"coverImageProperties":{"__typename":"CoverImageProperties","style":"STANDARD","titlePosition":"BOTTOM","altText":""}},"Conversation:conversation:1310179":{"__typename":"Conversation","id":"conversation:1310179","topic":{"__typename":"BlogTopicMessage","uid":1310179},"lastPostingActivityTime":"2020-04-15T10:53:11.716-07:00","solved":false},"AssociatedImage:{\"url\":\"https://techcommunity.microsoft.com/t5/s/gxcuf89792/images/bS0xMzEwMTc5LTE4NDU2NGk5MTdDQUY4MUIzNENDNjZC?revision=5\"}":{"__typename":"AssociatedImage","url":"https://techcommunity.microsoft.com/t5/s/gxcuf89792/images/bS0xMzEwMTc5LTE4NDU2NGk5MTdDQUY4MUIzNENDNjZC?revision=5","title":"Tile%20slide%20teaser%2011-25.png","associationType":"TEASER","width":999,"height":562,"altText":null},"BlogTopicMessage:message:1310179":{"__typename":"BlogTopicMessage","subject":"Three ways to use virtual tools to support your employee's wellbeing","conversation":{"__ref":"Conversation:conversation:1310179"},"id":"message:1310179","revisionNum":5,"uid":1310179,"depth":0,"board":{"__ref":"Blog:board:HealthcareAndLifeSciencesBlog"},"author":{"__ref":"User:user:465974"},"teaser@stripHtml({\"removeProcessingText\":true,\"truncateLength\":-1})":" \n Shawn Remacle, Director of Industry Engagement, shares three ways virtual tools can be used to support all employees. ","introduction":"","metrics":{"__typename":"MessageMetrics","views":2562},"postTime":"2020-04-15T10:50:17.658-07:00","lastPublishTime":"2020-04-15T10:53:11.716-07:00","body@stripHtml({\"removeProcessingText\":true,\"removeSpoilerMarkup\":true,\"removeTocMarkup\":true,\"truncateLength\":-1})":" Written by Shawn Remacle, Director of Industry Engagement \n \n As someone who has worked in and around health organizations for over 22 years, I have seen my fair share of individuals who epitomize the old saying: “when the going gets tough, the tough get going.” They are resilient people. However, every employee’s spirit will be tested in this difficult time by the volume and pace of work, uncertainty or just “being outside their comfort zone.” As leaders, your natural inclination will be to sustain your staff’s resilience, even as you personally face new challenges in managing team engagement and workday structure. \n Over the past few weeks, health organizations have moved quickly to eliminate technological and procedural obstacles to supply needed capabilities such as virtual patient communication and working remotely. Given that your workforce is facing unprecedented challenges, leaders may also want to consider using virtual tools in the following ways to support employee well-being. \n Provide emotional support \n All employees, but especially care team members, need an outlet to debrief and unwind from an increasingly emotionally charged and stressful work environment. Options to consider include: \n \n Connecting to “Emotional Support” teams where staff can quickly call or chat with an individual counselor/therapist from a pool of designated support resources to process difficult experiences. Small to medium sized companies (less than 5,000 employees) might consider joining all employees to an org-wide support team while larger organizations may choose to opt in members to facility, departmental, or role-specific (ex: Nursing) support teams. \n Assign peer buddies within your teams to provide mutual support and a daily check-in on well-being. As a people manager, this will also help you to distribute some of your workload. \n Out of sight but not out of mind – in scenarios where you may have self-isolating employees not in the work/care setting, keep them plugged in to your virtual team environment. \n \n Quickly surface concerns and issues \n Considering the disruption to normal work routines, leaders may benefit from an enterprise social platform that can flatten management connections with their workforce. This can help with: \n \n collecting and responding quickly to emergent employee issues and concerns \n maintaining organizational transparency by sharing information regularly \n empowering employees to easily connect with others across the organization who have common needs \n tapping into your company’s collective knowledge to find an answer to a pressing problem \n \n Reestablish team camaraderie \n Many teams accustomed to working in the same workspace under the same work schedules are now trying to adjust to asynchronous work and remote collaboration. Meanwhile, caregivers are confronting fast-paced environments and long shifts that can limit meaningful interaction and connection within their units. Encourage your team leaders and employees to: \n \n upload and deliver positive 1-minute video stories – staff who are making a difference, celebrate patient/staff/organizational successes, co-workers helping each other, ABCD (Above and Beyond the Call of Duty). \n share funny (but work-appropriate) memes, GIFs, stories - laughter can be an effective escape from anxiety. \n send Praise to people and ignite viral recognition. \n initiate virtual coffee breaks – create time for a video group check-in where work and schedules are NOT the topic. \n augment your “managing by walking around” capabilities – post pictures with team members who are still in the work environment or a quick video catching a team member helping others. \n \n Providing support, organizational listening and team connection can play a vital role in reducing the stress and anxiety your staff may be experiencing. Virtual tools and experiences can contribute as a central part of your strategy to protect your employee's resilience. \n \n - Shawn Remacle, Director of Industry Engagement \n Follow me on LinkedIn ","body@stripHtml({\"removeProcessingText\":true,\"removeSpoilerMarkup\":true,\"removeTocMarkup\":true,\"truncateLength\":-1})@stringLength":"4068","kudosSumWeight":1,"repliesCount":0,"readOnly":false,"images":{"__typename":"AssociatedImageConnection","edges":[{"__typename":"AssociatedImageEdge","cursor":"MjUuMXwyLjF8b3wyNXxfTlZffDE","node":{"__ref":"AssociatedImage:{\"url\":\"https://techcommunity.microsoft.com/t5/s/gxcuf89792/images/bS0xMzEwMTc5LTE4NDU2NGk5MTdDQUY4MUIzNENDNjZC?revision=5\"}"}}],"totalCount":1,"pageInfo":{"__typename":"PageInfo","hasNextPage":false,"endCursor":null,"hasPreviousPage":false,"startCursor":null}},"videos":{"__typename":"VideoConnection","edges":[],"totalCount":0,"pageInfo":{"__typename":"PageInfo","hasNextPage":false,"endCursor":null,"hasPreviousPage":false,"startCursor":null}},"coverImage":null,"coverImageProperties":{"__typename":"CoverImageProperties","style":"STANDARD","titlePosition":"BOTTOM","altText":""}},"Conversation:conversation:1222838":{"__typename":"Conversation","id":"conversation:1222838","topic":{"__typename":"BlogTopicMessage","uid":1222838},"lastPostingActivityTime":"2020-03-12T08:34:35.136-07:00","solved":false},"AssociatedImage:{\"url\":\"https://techcommunity.microsoft.com/t5/s/gxcuf89792/images/bS0xMjIyODM4LTE3NjQwM2k4OEQwOUVFNjU5REZCRUU1?revision=2\"}":{"__typename":"AssociatedImage","url":"https://techcommunity.microsoft.com/t5/s/gxcuf89792/images/bS0xMjIyODM4LTE3NjQwM2k4OEQwOUVFNjU5REZCRUU1?revision=2","title":"Tile%20slide%20teaser%2011-25.png","associationType":"TEASER","width":999,"height":562,"altText":null},"BlogTopicMessage:message:1222838":{"__typename":"BlogTopicMessage","subject":"YOTNM Ep. 3: National Patient Safety Awareness Week","conversation":{"__ref":"Conversation:conversation:1222838"},"id":"message:1222838","revisionNum":2,"uid":1222838,"depth":0,"board":{"__ref":"Blog:board:HealthcareAndLifeSciencesBlog"},"author":{"__ref":"User:user:465974"},"teaser@stripHtml({\"removeProcessingText\":true,\"truncateLength\":-1})":" Patient safety has always been top of mind in health and given the current environment even more so now. Listen as Kathleen McGrow, DNP, CNIO, RN, MS discusses how technology has a significant role in patient safety now and in the future. ","introduction":"","metrics":{"__typename":"MessageMetrics","views":1682},"postTime":"2020-03-12T08:34:35.136-07:00","lastPublishTime":"2020-03-12T08:34:35.136-07:00","body@stripHtml({\"removeProcessingText\":true,\"removeSpoilerMarkup\":true,\"removeTocMarkup\":true,\"truncateLength\":-1})":" Patient safety has always been top of mind in health and given the current environment even more so now. Listen as Kathleen McGrow, DNP, CNIO, RN, MS discusses how technology has a significant role in patient safety now and in the future. \n Claire: You're watching the Microsoft US Health and Life Sciences Confessions of Health Geeks podcast. A show the offers industry insight from the health geeks and data freaks of the US health and life Sciences industry team. I'm your host, Claire Bonaci. As a part of the ongoing year of the nurse and midwife series, Kathleen McGrow, our Chief Nursing Information Officer will talk about patient safety and how technology can help. \n Enjoy the show. \n Hi Kathleen thanks for joining us today to talk about patient safety. Hi Claire, good afternoon how are you? I’m doing good how are you? great thanks, happy to be here to talk about it. \n So Kathleen you've had an extensive career in the hospital setting and I know that you've noticed that healthcare is seeing an increased emergence with tech enabled tools like wearables or computerized dispensing, so what new questions or concerns does this bring up with patient safety? \n Kathleen: Yeah I have 20 years actually of clinical bedside and many years of health information technology piled onto that. I actually see this raises a lot of concerns around patient safety and quality. including concerns around cybersecurity and passive data collection and patient education or miseducation. there is also a lot of variability around patient proficiency around patients using technology as we know. \n Claire: So you mentioned data security and cybersecurity which is very important, in your experience have you seen companies trying to address this more? \n Kathleen: yes actually at Microsoft this is one of our significant tenants around cybersecurity. we have huge team dedicated to that and to ensure data is both protected and secure. \n Claire: That's great. So given that it is the 20th year anniversary for the Institute of Medicine report ‘To Err is Human’, and that a new survey by the Institute for Healthcare Improvement finds that 1 in 5 Americans have experienced a medical error, what are some learnings we can take away from the last 20 years regarding patient safety and how technology has made an impact. \n Kathleen: Right, well I can’t believe it's been 20 years I remember when it came out and reflecting on that, that was a landmark event to have the IOM to come out with To Err is Human. it put a spotlight on medical errors and the need to improve patient safety. we find now that there are significant risk for error especially when it comes to medication errors and adverse drug reactions. we're really looking at increasing number of mistakes, selecting the wrong medications for patients, especially on computer screens or tablets. they call these selection errors. we need to ensure we build solutions to assist providers and don't allow for these selection errors to occur. this might include using machine learning and AI to prompt providers when they are making these selections. in addition, surgical errors both during surgery and perioperative events, through the advent of safety checklists most providers are using these, the checklists are now made electronic and are easy accessible to users. we need to monitor their use and ensure there is an effective uptake. and then misdiagnosis mistakes. including misidentified illnesses and incorrect treatment. according by a study by Johns Hopkins School of Medicine, data confirmed that inaccurate diagnosis is the number 1 cause of serious medical errors. so we must assist our providers by ensuring data is discoverable and they have the right data on the right patient at the right time. research and quality improvement initiatives should help target these interventions and improve clinical diagnoses. \n Claire: Great, and I love the point you brought up about AI and Machine learning. even if it’s just a logic check for the provider. it can really help and reduce the likelihood of error and of course using clinical analytics to guide those clinical insights as well. So I know you've been very vocal about the importance about patient and provider education when implementing these new technologies. what are some examples of the technologies that you've seen and what are your thoughts on how they can change patient safety overall. \n Kathleen: That's correct, I really do believe patient and provider education is key for implementing new technologies. I think there's still a lot of work that we're learning about these new tech tools. there's a lot of kinks we need to work them out. the rise of data and digital leaves the industry no choice but to consider the relation of these tools to patient safety. So we must educate our clinicians. it needs to start with higher education and continue on with bedside care and hands on patient care. we're also seeing the utilization of AR and VR (mixed reality) using things like Microsoft HoloLens. within skill stations within nursing and physician training they actually use the HoloLens to see 3D images of the anatomy and what the patient’s body would look like and I think that's really significant and helps them to learn not on the actual patient until they're ready. I believe technology can improve and is improving patient safety but we need to ensure that we're keeping patient safety a top priority in healthcare. \n Claire: That's great, that's really a great example. I know there are many others on how technology is helping with provider and higher education. thank you so much Kathleen for chatting today and we'll have you back on the vlog very soon. Thank you all for watching. \n Thank you all for watching. We look forward to continuing the year of the nurse series next month with episode 4. Please feel free to leave us questions or comments below and check back soon for more content from the HLS industry team. \n \n Kathleen McGrow, DNP, CNIO, RN, MS \n Follow me on LinkedIn 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