Elevating care management analytics with Copilot for Power BI
Healthcare data solutions care management analytics capability offers a comprehensive template using the medallion Lakehouse architecture to unify and analyze diverse data sets of meaningful insights. This enables enhanced care coordination, improved patient outcomes, and scalable, sustainable insights. As the healthcare industry faces rising costs and growing demand for personalized care, data and AI are becoming critical tools. Copilot for Power BI leads this shift, blending AI-driven insights with advanced visualization to revolutionize care delivery. What is Copilot for Power BI? Copilot is an AI-powered assistant embedded directly into Power BI, Microsoft's interactive data visualization platform. By leveraging natural language processing and machine learning, Copilot helps users interact with their data more intuitively whether by asking questions in plain English, generating complex calculations, or uncovering patterns that might otherwise go unnoticed. Copilot for Power BI is embedded within healthcare data solutions, allowing care management—one of its core capabilities—to harness these AI-driven insights. In the context of care management analytics, this means turning a sea of clinical, claims, and operational data into actionable insights without needing to write a single line of code. This empowers teams across all technical levels to gain value from data. Driving better outcomes through intelligent insights in care management analytics The Care Management Analytics solution, built on the Healthcare data solutions platform, leverages Power BI with Copilot embedded directly within it. Here’s how Copilot for Power BI is revolutionizing care management: Enhancing decision-making with AI Traditionally, deriving insights from healthcare data required technical expertise and hours of analysis. Copilot simplifies this by allowing care managers and clinicians to ask questions like “Analyze which medical conditions have the highest cost and prevalence in low-income regions.” The AI interprets these queries and responds with visualizations, trends, and predictions—empowering faster, data-driven decisions. Proactive care planning By analyzing historical and real-time data, Copilot helps identify at-risk patients before complications arise. This enables care teams to intervene earlier, design more personalized care plans, and ultimately improve outcomes while reducing unnecessary hospitalizations. Operational efficiency From staffing models to resource allocation, Copilot provides visibility into operational metrics that can drive significant efficiency gains. Healthcare leaders can quickly identify bottlenecks, monitor key performance indicators (KPIs) and simulate “what-if” scenarios, enabling more i nformed, data-backed decisions on care delivery models. Reducing costs without compromising quality Cost containment is a constant challenge in healthcare. By highlighting areas of high spend and correlating them with clinical outcomes, Copilot empowers organizations to optimize care pathways and eliminate inefficiencies ensuring patients receive the right care at the right time, without waste. Democratizing data access Perhaps one of the most transformative aspects of Copilot is how it democratizes access to analytics. Non-technical users from care coordinators to nurse managers can interact with dashboards, explore data, and generate insights independently. This cultural shift encourages a more data-literate workforce and fosters collaboration across teams. Real-world impact Consider a healthcare system leveraging Power BI and Copilot to manage chronic disease populations more effectively. By combining claims data, social determinants of health (SDoH) indicators, and patient-reported outcomes, care teams can gain a comprehensive view of patient needs- enabling more coordinated care and proactively identifying care gaps. With these insights, organizations can launch targeted outreach initiatives that reduce avoidable emergency department (ED) visits, improve medication adherence, and ultimately enhance outcomes. The future is here The integration of Copilot for Power BI marks a pivotal moment for healthcare analytics. It bridges the gap between data and action, bringing AI to the frontlines of care. As the industry continues to embrace value-based care models, tools like Copilot will be essential in achieving the triple aim: better care, lower costs, and improved patient experience. Copilot is more than a tool — it is a strategic partner in you care transformation journey. Deployment of care management analytics Showcasing how a Population Health Director uncovers actionable insights through Copilot Note: To fully leverage the capabilities of the solution, please follow the deployment steps provided and use the sample data included with the Healthcare Data Solution. For more information on care management analytics, please review our detailed documentation and get started with transforming your healthcare data landscape today Overview of care management analytics - Microsoft Cloud for Healthcare | Microsoft Learn Deploy and analyze using Care management analytics - Training | Microsoft Learn. Medical device disclaimer: Microsoft products and services (1) are not designed, intended or made available as a medical device, and (2) are not designed or intended to be a substitute for professional medical advice, diagnosis, treatment, or judgment and should not be used to replace or as a substitute for professional medical advice, diagnosis, treatment, or judgment. Customers/partners are responsible for ensuring solutions comply with applicable laws and regulations.
Driving Better Patient Outcomes with Care Management Analytics in Healthcare data solutions
In today's rapidly evolving healthcare landscape, effective data driven decision is more crucial than ever. The ability to analyse, manage, and optimize patient care processes relies on the seamless integration of diverse data sources like clinical, claims, social determinants of health etc. Leveraging the innovative medallion Lakehouse architecture, care management analytical template capabilities provide a robust platform for organizations to derive actionable insights and drive better patient outcomes. The Medallion Lakehouse for Care Management analytics Built on the foundation of the healthcare data solutions in Microsoft Fabric which utilizes the medallion Lakehouse architecture. This architecture consists of three foundational layers, each playing a critical role in transforming raw data into actionable insights: Bronze: The Raw Zone The Bronze layer serves as the raw data zone, storing all data in its original format. This data includes various sources such as patient encounters, conditions, treatment adherence records, and other relevant care management information. By maintaining this data in its raw form, organizations ensure the integrity and completeness of the dataset, providing a solid foundation for subsequent processing and analysis. Silver: The Enriched Zone In the Silver layer, data from the Bronze Lakehouse is enriched and transformed into a standardized format for analysis. This layer stores metadata and file references based on healthcare interoperability standards such as FHIR (Fast Healthcare Interoperability Resources). The enriched data provides a holistic view of the patient record, integrating different modalities in healthcare data solutions which are critical for comprehensive care analysis. Gold: The Curated Zone The Gold layer represents the curated zone, where data is refined and structured for advanced analytics and reporting. By building a comprehensive data model, the data is optimized for, predictive analytics, and reporting dashboards that can provide deep insights into care quality, patient outcomes, and operational efficiency. Conceptual Architecture Care management analytics involves integrating and analysing diverse datasets, including clinical, claims and social determinants of health data. The medallion Lakehouse architecture in Microsoft Fabric offers the flexibility to ingest and process these data types at scale. The data flows from raw data ingestion to transformation into the Gold Lakehouse format. End to End execution steps Step 1: Create a workspace and add health solutions capability. Step 2: Set up healthcare data solutions on your Fabric workspace. Follow the guidance from the deployment wizard and add sample data if needed. Step 3: Select the Care Management analytics capability and click on Deploy. Step 4: Copy the sample data downloaded into the bronze lakehouse under Process\Clinical\FHIR-HDS folder Step 5: Run the care management analytical data pipeline to transform the data from the bronze lakehouse to gold lakehouse. Step 6: Access the Power BI dashboards once the above steps are completed to view detailed visualization on Clinical and Claims data. Transforming Care Management analytics with healthcare data solutions Healthcare data solutions care management analytics capability provides a comprehensive template solution for customers and partners to unify and analyze diverse data. By leveraging the medallion Lakehouse architecture, healthcare organizations can unlock the potential of their data, enhance care coordination, and drive better patient outcomes. The seamless integration of raw, enriched, and curated data layers ensures that insights are not only actionable but also scalable and sustainable. For more information on how Healthcare data solutions can revolutionize your care management analytics, please review our detailed documentation and get started with transforming your healthcare data landscape today. https://go.microsoft.com/fwlink/?linkid=2284603 FHIR® is a registered trademark of Health Level Seven International, registered in the U.S. Trademark Office, and is used with their permission. Medical device disclaimer: Microsoft products and services (1) are not designed, intended or made available as a medical device, and (2) are not designed or intended to be a substitute for professional medical advice, diagnosis, treatment, or judgment and should not be used to replace or as a substitute for professional medical advice, diagnosis, treatment, or judgment. Customers/partners are responsible for ensuring solutions comply with applicable laws and regulations.
