Class Central is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

Microsoft

Get started with Azure Health Data Services

Microsoft via Microsoft Learn

Overview

  • Module 1: Learn about Azure Health Data Services.

    In this module, you'll:

    • Explore interoperability challenges of health and life sciences data.
    • Describe the core global health data standards that Azure Health Data Services supports today.
    • Examine the tools and connectors that comprise Azure Health Data Services and the benefits that they provide.
  • Module 2: Learn about the FHIR RESTful API framework and how to identify FHIR resources and their elements.

    In this module, you'll:

    • Identify types of FHIR resources.
    • Identify resource elements, structures, and hierarchy.
    • Learn about the FHIR RESTful API framework.
  • Module 3: Learn about medical imaging data and DICOM® (Digital Imaging and Communications in Medicine).

    In this module, you'll:

    • Learn why DICOM standards are important.
    • Explore the DICOM standards and DICOM service.
    • Review the use case for radiology data in cancer treatment with examples.
  • Module 4: Learn about MedTech service with IoT devices.

    In this module, you'll:

    • Enable IoT data scenarios for remote patient monitoring.
    • Ingest data from devices.

Syllabus

  • Module 1: Module 1: Introduction to Azure Health Data Services
    • Introduction
    • Challenges of interoperability
    • Azure Health Data Services tools and connectors
    • Check your knowledge
    • Summary
  • Module 2: Module 2: Health data and FHIR®
    • Introduction
    • Introduction to FHIR concepts and data model
    • Overview of FHIR resources
    • Hierarchy and resource structure in FHIR
    • FHIR implementation guides
    • Development with the FHIR RESTful API in FHIR service
    • Technical architecture
    • Check your knowledge
    • Summary
  • Module 3: Module 3: Work with medical imaging data and DICOM
    • Introduction
    • DICOM service
    • DICOM service uses in radiology
    • Use case 1 - Medical imaging query and cohort
    • Use case 2 - Create a model as a classifier for cancer prediction
    • Check your knowledge
    • Summary
  • Module 4: Module 4: MedTech service with IoT devices
    • Introduction
    • Wearable and other IoT devices
    • IoT data ingestion
    • Use case 1 - Enable partners and customers to build wellness trend notifications
    • Use case 2 - Build a patient reported outcomes interface
    • Check your knowledge
    • Summary

Reviews

Start your review of Get started with Azure Health Data Services

Never Stop Learning.

Get personalized course recommendations, track subjects and courses with reminders, and more.

Someone learning on their laptop while sitting on the floor.