Explore advanced integration and interoperability in Microsoft Cloud for Healthcare
Microsoft Cloud for Healthcare provides advanced integration and interoperability solutions. These solutions include Azure Health Data Services, Data integration toolkit, Dataverse Healthcare API, Healthcare data pipeline template, and Virtual Health Data Tables.
In this Learning Path, you gain a deeper understanding on the integration and interoperability solutions. You'll be guided through practical hands-on exercises that help you tailor integration and interoperability solutions.
Prerequisites
- To complete the exercises in this Learning Path, complete the following module on:
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Modules in this learning path
This module provides a foundational description of the integration and interoperability challenges that exist in the healthcare and life sciences industries and how Microsoft Cloud for Healthcare can help overcome those challenges. It also provides an overview of the integration and interoperability solutions, such as Azure Health Data Services, Data Integration Toolkit, Dataverse Healthcare API, Data Ingestion ARM Template, and Virtual Health Tables, which are provided by Microsoft Cloud for Healthcare. It also explains the process for setting up the Data Integration Toolkit to use the Dataverse Healthcare API to send and retrieve healthcare data from Microsoft Dataverse.
This module provides an in-depth explanation of the integration and interoperability solutions that are available in Microsoft Cloud for Healthcare. It describes solutions such as Azure Health Data Services, Data integration toolkit, Dataverse Healthcare API, Healthcare data pipeline template, and virtual health data tables. Additionally, the hands-on lab experience helps you tailor your integration and interoperability solutions.
This module explains integration and interoperability solutions that are available in Microsoft Cloud for Healthcare. It covers concepts about virtual health data tables and provides exercises for you to practice building a model-driven app by using the available virtual health data tables. Additionally, hands-on exercises in this module help you build solutions by using FHIR-based data elements.
FHIRlink is a Microsoft Health and Life Sciences connector from Microsoft Power Platform that helps bridge the gap between healthcare applications that are built on Microsoft Azure services and FHIR services. It’s a Microsoft connector that helps you build low-code, no-code applications to interact directly with FHIR data.
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.