- Explore current healthcare challenges, how AI plays a significant role in healthcare and how Microsoft for Healthcare helps resolve these challenges.
This module explains the following concepts:
- Key challenges in the healthcare industry
- How Microsoft for Healthcare and AI helps resolve these challenges
- Capabilities that help you innovate with AI responsibly
- Explore Microsoft Cloud for Healthcare's data model, based on the Fast Healthcare Interoperability Resources (FHIR) standards.
This module explains the following concepts:
- Common Data Model
- Microsoft for Healthcare data model
- Common Data Model extensibility
- A foundational description of the integration and interoperability challenges in the healthcare and how Microsoft for Healthcare can help overcome them.
In this module, you'll:
- Learn about the integration and interoperability challenges in the healthcare and life sciences industries.
- Learn how Microsoft for Healthcare solves integration and interoperability challenges.
AI Engineer - Learn how to integrate AI into software applications
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Syllabus
- Microsoft for Healthcare Overview
- Introduction
- Key Challenges in Healthcare
- Introduction to Microsoft for Healthcare
- Microsoft for Healthcare in the AI Era
- Healthcare data solutions in Microsoft Fabric
- Introduction to Microsoft Copilot
- Well-Architected for Microsoft Cloud for Healthcare
- Check your knowledge
- Summary
- Microsoft for Healthcare data model for Dataverse
- Introduction
- Common Data Model
- Healthcare data model
- Data model extensibility
- Check your knowledge
- Summary
- Integration and interoperability in Microsoft for Healthcare solution overview
- Introduction
- Data Integration Toolkit overview
- Dataverse Healthcare APIs overview
- Check your knowledge
- Summary