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).
In the healthcare industry, the analysis of vast amounts of data, often unstructured or semi-structured, poses a significant challenge for organizations seeking valuable insights. Healthcare organizations currently confront the following challenges with data and analytics:
Unstructured and inaccessible data: For most healthcare providers, about 50% to 90% of their data is siloed. This segregation limits advances in medical treatments and technologies, while concurrently imposing 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 treatment modalities 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. Here are several essential types of data for healthcare organizations to harness:
- 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 provides a one-stop-shop for data integration, data engineering, real-time analytics, data science, and business intelligence needs without compromising the privacy and security of your data. It enables you to manage your data in one place with a suite of analytics experiences that work together seamlessly. For more information, go to What is Microsoft Fabric?
Healthcare data solutions in Microsoft Fabric (preview) are strategically designed to accelerate the time to value for customers by addressing the critical need to efficiently transform healthcare data into a suitable format for analysis. With these solutions, healthcare organizations can seamlessly conduct exploratory analysis and run large-scale analytics, unlocking the full potential of their data assets. By providing intuitive tools such as data pipelines and notebooks, users are empowered to navigate and process complex datasets with ease, overcoming the inherent challenges associated with unstructured data formats.
The solutions enable healthcare organizations to break down data silos and harmonize their 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, organizations can harness the power of autoscaling capabilities inherent in built-in serverless SQL pools, optimizing both performance and scalability. This integration enables users to apply the full spectrum of analytical tools within their familiar workspace environment, enhancing productivity and driving informed decision-making. With the new features in healthcare data solutions (preview), healthcare organizations can unlock actionable insights from their 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.
To use healthcare data solutions in Microsoft Fabric (preview), you must connect at least one data source to your Fabric workspace. To facilitate the same, the preview release includes sample data for testing 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.
References
- What is Microsoft Cloud for Healthcare?
- Microsoft Fabric:
- Text Analytics for health in Azure AI Language
- Azure Health Data Services documentation
- FHIR R4 complete resource list
- OMOP data standardization
- Healthcare data solutions (preview) architecture: