Overview of healthcare data solutions in Microsoft Fabric (preview)
Important
- This is a Production Ready Preview feature.
- You may use Production Ready Previews to process personal data or other data that is subject to legal or regulatory compliance requirements.
- Production Ready Preview features aren't meant for production use, and may have restricted functionality. These features are available before an official release so that customers can get early access and provide feedback.
- To review the terms of service for healthcare data solutions in Microsoft Fabric (preview), go to Healthcare data solutions (preview).
Healthcare organizations need to analyze vast amounts of data to gain valuable insights. But this data is often unstructured or semi-structured, which makes them hard to access and use. Currently, healthcare organizations face the following challenges with data and analytics:
Unstructured and inaccessible data: Most healthcare providers have 50% to 90% of their data in silos. This segregation limits advances in medical treatments and technologies. It also imposes constraints on the ability to adhere to regulatory compliance standards.
Limited view into patient experiences: Healthcare organizations find it difficult to forecast emergencies, improve diagnostics, and optimize treatments based on clinical patterns.
Difficulty accessing the power of insights: Healthcare providers report wasting about 60% to 70% of valuable analysis time on processing healthcare data.
To address these challenges effectively, organizations need to improve their ability to harness data for uncovering clinical insights and implementing value-based care models. They need to use different types of data, such as:
- Clinical data
- Engagement data
- Imaging data
- Genomics
- Conversational
- Claims
- SDOH (Social determinants of health)
Taking into account this industry landscape, we're introducing Healthcare data solutions in Microsoft Fabric (preview), our enterprise analytics solution built atop the Microsoft Fabric platform. Microsoft Fabric lets you manage your data in one place with a suite of analytics experiences that work together seamlessly. It provides a comprehensive ecosystem for data integration, data engineering, real-time analytics, data science, and business intelligence needs without compromising your data privacy and security. For more information, see What is Microsoft Fabric?
Healthcare data solutions in Microsoft Fabric (preview) help you accelerate time to value by addressing the critical need to efficiently transform healthcare data into a suitable format for analysis. With these solutions, you can conduct exploratory analysis and run large-scale analytics to unlock the full potential of your data assets. By using intuitive tools such as data pipelines and notebooks, you can easily navigate and process complex datasets, overcoming the inherent challenges associated with unstructured data formats.
The solutions enable you to break down data silos and harmonize disparate healthcare data in a single unified store where analytics and AI workloads can operate on scale. These solutions can help you transform unstructured or semi-structured healthcare data into a tabular shape that can be persisted in the data lake, ensuring accessibility and usability for analysis. By deploying the solutions directly to a Fabric workspace, you can harness the power of autoscaling capabilities inherent in built-in serverless SQL pools, optimizing both performance and scalability. This integration enables you to apply the full spectrum of analytical tools within a familiar workspace environment, enhancing productivity and driving informed decision-making. With the new features in healthcare data solutions (preview), you can unlock actionable insights from your data, drive innovation, and improve patient outcomes.
The preview release for healthcare data solutions in Microsoft Fabric includes the following solutions/capabilities:
FHIR data ingestion: Bring your Fast Healthcare Interoperability Resources (FHIR) data to OneLake from a FHIR service such as Azure Health Data Services. OneLake, in Microsoft Fabric, is a unified, logical data lake that is designed to be a single place for all your analytics data. For more information, go to Overview of FHIR data ingestion.
Healthcare data foundations: Set up your healthcare data estate quickly with FHIR data standards and ready-to-run data pipelines that are designed to efficiently structure data for analytics and AI/machine learning modeling. For more information, go to Overview of Healthcare data foundations.
Unstructured clinical notes enrichment: Utilize Azure AI Language's Text Analytics for health services to extract and add structure to unstructured clinical notes for analytics. For more information, go to Overview of Unstructured clinical notes enrichment.
OMOP analytics: Prepare data for standardized analytics through Observational Medical Outcomes Partnership (OMOP) open community standards. For more information, go to Overview of OMOP analytics.
Dynamics 365 Customer Insights - Data preparation: Connect Dynamics 365 Customer Insights to your OneLake on Fabric for creating patient or member lists for outreach. For more information, go to Overview of Dynamics 365 Customer Insights - Data preparation.
DICOM data ingestion: Use the imaging data ingestion pipeline to bring your Digital Imaging and Communications in Medicine (DICOM) data to OneLake. For more information, go to Overview of DICOM data ingestion.
To use healthcare data solutions in Microsoft Fabric (preview), you must connect at least one data source to your Fabric workspace. The preview release includes sample data that you can use to test the solutions. Alternatively, you can also ingest data using a FHIR service such as Azure Health Data Services. For more information, go to Set up data connection.