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Overview of care management analytics (preview) in healthcare data solutions

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Important

  • This is a preview feature.
  • Preview features aren't meant for production use and might 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, see Healthcare data solutions in Microsoft Fabric.

Care management analytics (preview) in healthcare data solutions provides a comprehensive analytical platform essential for optimizing patient outcomes and resource utilization in today's healthcare landscape. This feature addresses the challenges healthcare providers face in coordinating care, which often leads to suboptimal experiences, increased costs, and inconsistent quality.

The capability provides the following key features:

  • Holistic data integration: Unifies clinical, claims, social determinants of health (SDOH), and other key data sources within healthcare data solutions. This integration enables you to gain comprehensive insights for enhancing patient care.

  • Enhanced patient identification: Equips care managers with analytics-driven tools to identify patients who would benefit most from care management, supporting targeted interventions for at-risk populations.

  • Analytical template: Offers an analytical template that combines data from various modalities, providing insights that facilitate data-driven decision-making in care management.

  • Support for value-based care: Helps health systems close gaps in care and develop targeted interventions, aligning with value-based care initiatives to improve health outcomes and achieve cost savings.

You can use the care management analytics (preview) pipelines to construct analytical models, conduct patient population studies, and use Power BI reports to visually compare various patient populations. For reference, the capability also provides sample notebooks for these scenarios.

Care management analytics (preview) is an optional capability under healthcare data solutions in Microsoft Fabric. You have the flexibility to decide whether to use it, depending on your specific needs or scenarios. To learn how to deploy, configure, and use the capability, see:

Conceptual architecture

Care management analytics (preview) uses the innovative medallion lakehouse design described in Data architecture and management in healthcare data solutions. The medallion architecture for this capability consists of the following three foundational layers:

  • Bronze: Stores source data in its original format. It extracts data from the files and saves them as FHIR NDJSON files. It preserves raw data such as patient encounters and treatment records to maintain data integrity and completeness for analysis.

  • Silver: Based on the FHIR specification, this layer transforms data from the bronze layer into a standardized format. Using FHIR standards, it integrates diverse healthcare data sources to build a holistic patient record.

  • Gold: Refines and structures data for advanced analytics and reporting. It provides insights into care quality, patient outcomes, and operational efficiency.