Поділитися через

Improve clinical and operational insights

  • Стаття

Connect data from across systems, creating insights to predict risk and help improve patient care, quality assurance, and operational efficiencies. Transform health outcomes using data-driven insights to improve clinical decision-making and care experiences. Improve operational efficiency by synchronizing management efforts across clinicians and administrators. Simplify data governance and compliance by unifying data on a single, secure data platform.

Clinical analytics

Leverage insights to improve patient care by connecting data from multiple sources and use predictive analytics for data modeling and identifying clinical trends.

Solutions that support this capability:

  • Azure Health Data Services: Unify and standardize data coming from diverse streams such as clinical, imaging, device and unstructured data using our Fast Health Interoperability Resources (FHIR) and DICOM services and Azure IoT Connector for FHIR. For more information, go to Azure Health Data Services.
  • Patient population dashboard (preview): Provides a summary of the key metrics for various segments of your patient population. Analyze your patient population health, use Power BI to configure the dashboards based on your organization’s needs, and seamlessly embed these dashboards in your Dynamics 365 applications. For more information, go to Configure patient population dashboard (preview).
  • Text Analytics for health: Extract information from unstructured protected health data to generate advanced patient and population-level data insights, and supercharge interoperability between health organizations. For more information, go to What is Text Analytics for health in Azure Cognitive Service for Language?

Operational analytics

Improve operational efficiency by synchronizing management efforts across clinicians and administrators to reveal actionable insights into cross-institutional operations.

Solutions that support this capability:

  • Azure Health Data Services: Unify and standardize data coming from diverse streams such as clinical, imaging, device and unstructured data using our FHIR and DICOM services and Azure IoT Connector for FHIR. For more information, go to Azure Health Data Services.
  • Health document intelligence: Extract information from health documents and images to automate and digitize processes, enrich knowledge mining, and build your solutions with Azure AI Document Intelligence. For more information, go to What is Azure AI Document Intelligence?
  • Provider data model: This is the HL7 FHIR standards-based data model that comes with all Microsoft Cloud for Healthcare solutions. It's available as a standalone framework on which other organizations can build or extend their own healthcare apps. For more information, go to Provider data model.

Reference architecture

Learn more about successful, robust cloud deployments in the Microsoft Cloud for Healthcare reference architecture center.

See also

What is Microsoft Cloud for Healthcare?
Set up and configure Microsoft Cloud for Healthcare