Microsoft Fabric
27 TopicsUnleash the power of data and generative AI with Microsoft Cloud for Manufacturing
Microsoft Cloud for Manufacturing uses data and generative AI to enhance operational efficiency and safety in the manufacturing sector. Learn more about the manufacturing data solutions in Microsoft Fabric, Factory Operations Agent in Azure AI, and the new Factory Safety Agent which help manufacturers unify and standardize data, gain real-time insights, and improve decision-making processes.708Views2likes0CommentsOptimizing fleet management with Microsoft connected fleets reference architecture
Discover how Microsoft and its partners are revolutionizing fleet management with cutting-edge technology. In this blog we explore the integration of real-time analytics, telematics, and business applications to create efficient, safe, and cost-effective fleet operations. Learn about the innovative solutions from industry leaders like Accenture, Bosch, TomTom, Connected Cars, Annata, HERE Technologies, DSA Daten-und Systemtechnik GmbH, and more. Dive into the future of fleet management with composable, modular, and flexible solutions that adapt to the fast-moving and interconnected world.2.8KViews2likes0CommentsData Science & Engineering Copilot - Leverage Advanced AI Machine Learning Models
Are you looking to harness the power of AI to streamline your data science and engineering workflows in healthcare? In our upcoming webinar episode, " Data Science & Engineering Copilot - Leverage Advanced AI Machine Learning Models for Healthcare," we’ll showcase how Data Science and Data Engineering Copilot from Microsoft Fabric are transforming the way healthcare organizations manage, analyze, and derive insights from data. These AI-powered copilots enable healthcare teams to streamline complex data engineering pipelines and accelerate the development of advanced data science models.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. s of Care Management analytics 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.Seamlessly use social determinants of health data in healthcare data solutions in Microsoft Fabric
Social determinants of health are the social conditions that contribute to an individual’s or a population group’s health outcomes, like place of birth, median household income, and access to transportation. Research and real-world evidence have established that SDOH information can complement medical information. This helps healthcare organizations understand their patients’ health profile more comprehensively and facilitate tailored care interventions. However, a fundamental challenge in leveraging SDOH data arises due to the lack of a standard data collection and exchange mechanism. To simplify this process, we are thrilled to announce the public preview of SDOH datasets- transformations (SDOH) in healthcare data solutions in Microsoft Fabric. It fuels large-scale analytics by enabling the unification of social determinants of health data with core healthcare domains like clinical & claims. Key features SDOH information can be seen in two forms- Public datasets that contain social determinant details aggregated at a geographic level, and patient-level SDOH data that depict those characteristics of an individual that might pose health risks. This release focuses on the public SDOH datasets, which comes with, A simple and intuitive data preparation mechanism to ready the datasets for ingestion into healthcare data solutions. The supported data formats are .csv and .xlsx. A set of powerful pipelines and notebooks that allow effortless transformation of the datasets into tabular shapes. Eight sample datasets across various SDOH domains that you can readily leverage for your use cases. As the data progresses through the medallion Lakehouse, it gets persisted within a robust data model, custom-built for the SDOH modality. This eases the process of combining SDOH data with other modalities, unlocking use cases such as Care management analytics, Risk stratification, and Population health. How it works The SDOH capability follows three simple steps to transform the disparate datasets into a unified data model, Data preparation and ingestion- As there are no established standards to collect and exchange the information captured in these datasets, it is necessary to unify them into a common shape before they can be ingested. This step requires you to add three sheets in your original dataset to capture key details like publisher information, description of the data columns, and location information. The shipped sample datasets are pre-populated with all the necessary information. Landing zone to bronze- Once the datasets are prepared, they can be uploaded into the landing zone. The bronze notebook will then populate all the key details in the bronze lake in delta table format. Bronze to silver- This notebook normalizes the data from the bronze lake into the custom SDOH data model in the silver lake by creating dedicated tables and establishing relationships between them. It preserves the context of the source tables to help you easily identify or query the data. You can trigger the SDOH pipeline to run all the steps after data preparation at one go and thereafter utilize the normalized silver lake data to build your analytical scenarios. Get started today The SDOH public preview is available in healthcare data solutions for teams to start using today. For a more detailed overview of the capability and the necessary configurations needed to deploy it, please check out the official documentation. 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.Unlocking the Potential of Claims Data Insights in Healthcare data solutions in Microsoft Fabric
As part of the continuous innovation within healthcare data solutions in Microsoft Fabric, we are excited to introduce our CMS Claims data transformations capability. This feature specifically tailored to handle CMS CCLF formats. By ingesting, CMS Claims data into healthcare data solutions enables customers to assess the effectiveness of their care management programs, monitor population-level trends and utilization, also and measure their performance against benchmarks to reduce overall claim expenses and improve patient care. Leveraging the Medallion Lakehouse architecture, this feature allows healthcare organizations to seamlessly integrate claims data into the unified data platform provided in Microsoft Fabric. This solution supports scalable data ingestion and transformation workflows that convert claims data into tabular shapes, promoting efficient healthcare delivery and decision-making. The Medallion Lakehouse for Claims Data The Medallion Lakehouse architecture for claims data is built on the foundational layers of Microsoft Fabric’s healthcare data solutions. This architecture is designed to support the ingestion, transformation, and analysis of healthcare claims data. It comprises three fundamental layers: Bronze (Raw Zone): The first layer stores raw claims data in its original CCLF format. This raw zone acts as a staging area where files are ingested directly into the Lakehouse, maintaining the data’s original integrity. It supports native and compressed file types of the claims format, ensuring compatibility and flexibility in data processing. Silver (Enriched Zone): This intermediate layer focuses on processing and enriching the raw claims data by transforming it into structured formats based on the FHIR specifications. It leverages data transformation tools to parse and map the claims data into FHIR financial resources, storing the transformed data in a format optimized for querying and analysis. Gold (Curated Zone): The final layer aggregates the enriched data to create a highly curated dataset, optimized for reporting and analytics. In this zone, the data is further transformed into OMOP CDM (Observational Medical Outcomes Partnership Common Data Model) or a custom data model. The mapping ensures compatibility with various analytical and machine-learning models that healthcare organizations might deploy for deeper insights. Conceptual architecture The volume and complexity of claims data often require robust solutions to manage and extract valuable insights efficiently. Microsoft Fabric’s Medallion Lakehouse provides a comprehensive approach to handling these needs, offering three distinct ingestion patterns based on organizational requirements and existing data infrastructure: End to End execution steps Step 1: Create a workspace and add health solutions capability. Step 2: Setup healthcare data solutions on your Fabric workspace. Follow the guidance from the deployment wizard and add sample data if needed. Step 3: Select the CMS claims data transformations capability and click on Deploy. Step 4: Upload the CCLF files in following folder structure Ingest\Claims\CCLF\<namespace> Ingest folder structure to upload the CCLF files Step 5: Run the claims data pipeline to transform the data from the Bronze Lakehouse to Silver Lakehouse. Step 6: To validate the ingested and transformed data, check the ExplanationOfBenefits table to view the data The CMS claims data transformations capability within Microsoft Fabric’s Medallion Lakehouse architecture offers a powerful and scalable solution for healthcare organizations to integrate, manage, and analyse claims data effectively. By transforming raw claims data into FHIR, healthcare data solutions in Microsoft Fabric enables seamless interoperability and supports advanced analytics, providing a robust foundation for enhanced healthcare delivery and operational efficiency. For further details and documentation, Overview of CMS claims data transformations(preview) 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.