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Microsoft

Explore advanced integration and interoperability in Microsoft for Healthcare

Microsoft via Microsoft Learn

Overview

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  • Learn how to use the Data Integration Toolkit and Dataverse Healthcare API to send and retrieve healthcare data in Microsoft Cloud for Healthcare.

    In this module, you'll:

    • Learn about the integration and interoperability challenges in the healthcare and life sciences industries.
    • Explore how Microsoft for Healthcare solves integration and interoperability challenges.
    • Work with the Data Integration Toolkit to solve the integration and interoperability challenges.
    • Send and retrieve data to and from Microsoft Dataverse by using the Dataverse Healthcare API.
  • Learn about the integration and interoperability solutions in Microsoft for Healthcare.

    This module explains how to:

    • Set up an Azure Health Data Services workspace and FHIR API.
    • Set up the complex features of Data integration toolkit and virtual health data tables.
    • Set up the Healthcare data pipeline to move data between FHIR server and Microsoft Dataverse.
  • Learn about integration and interoperability solutions in Microsoft Cloud for Healthcare.

    This module explains the following concepts:

    • Azure Health Data Services workspace and FHIR API
    • Complex features of Data integration toolkit and virtual health data tables
    • Model-driven app connection to FHIR server by using virtual health data tables
  • Learn how to build an app from Power Apps by using the FHIRlink connector in Microsoft Cloud for Healthcare.

    This module explains how to:

    • Use FHIRlink to connect to Azure Health Data Services.
    • Use FHIRlink actions, such as ListResources, GetResource, and CreateResource.
    • Bind FHIR JSON data and use the canvas app.
  • This module explores how you can extend the healthcare data model in Dataverse. It covers a detailed understanding of how to add a new set of tables based on a selected FHIR resource. You'll review the FHIR resource specification, and the conventions before creating a relational model based on the FHIR specification. Additionally, hands-on exercises in this module help you add new tables and extend the data model.

    This module explains the following concepts:

    • Explore approach and conventions of relational data tables from FHIR to Dataverse tables.
    • Design Dataverse tables from the FHIR Resource.
    • Create a solution, tables, table references, and data maps.

Syllabus

  • Integration and interoperability solution for healthcare and life sciences
    • Introduction
    • Data Integration Toolkit overview
    • Exercise - Data Integration Toolkit basic configuration
    • Dataverse Healthcare APIs overview
    • Exercise - Use Dataverse Healthcare APIs with Azure Logic apps
    • Exercise - Use Dataverse Healthcare APIs with Azure Functions
    • Exercise - Use Dataverse Healthcare APIs with Insomnia
    • Check your knowledge
    • Summary
  • Explore integration and interoperability in Microsoft for Healthcare
    • Introduction
    • Set up Azure Health Data Services
    • Virtualize clinical reference and healthcare data by using virtual health data tables
    • Set up a virtual health data table
    • Check your knowledge
    • Summary
  • Build a model-driven app by using virtual health data tables
    • Introduction
    • Create a data integration solution
    • Exercise – Create a new model-driven app
    • Exercise – Create a new solution
    • Exercise – Add a new Main form for the Patient table
    • Exercise – Add new tabs for each related table
    • Exercise – Set up virtual health data table dependencies
    • Data routing in virtual health data tables
    • Exercise – Create a patient record in Dataverse
    • Exercise – Create remote encounters and observations for the patient
    • Check your knowledge
    • Summary
  • Build an app by using the FHIRlink connector
    • Introduction
    • Exercise - Post sample data to Azure Health Data Services FHIR service with Insomnia
    • Exercise - Connect to Azure Health Data Services by using FHIRlink
    • Exercise - Use FHIRlink actions and operations to retrieve data
    • Exercise - Display FHIR JSON data from FHIRlink
    • Exercise - Create appointments and post them to the FHIR service
    • Exercise - Use the canvas app
    • Check your knowledge
    • Summary
  • Extend the healthcare data model in Dataverse
    • Introduction
    • Approach and conventions to design the existing Healthcare data model for Dataverse
    • Exercise - Design Dataverse Tables from FHIR Resource
    • Exercise - Build root FHIR resource tables using Marker portal
    • Exercise - Build Expansion tables using Power Apps Maker portal
    • Exercise - Add multi-table references using the SDK
    • Exercise - Create data maps for Dataverse Healthcare APIs
    • Exercise - Validate the data model
    • Module assessment
    • Summary

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