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This module walks you through the process of obtaining prerequisite trial licenses to deploy Microsoft for Healthcare solutions. This exercise is used in the subsequent modules in this Learning Path. The Microsoft for Healthcare is a conflux of Microsoft Dynamics 365, Microsoft Azure, Microsoft 365, and Microsoft Power Platform. To take full advantage of the Microsoft for Healthcare solution and this learning path, it is recommended to have access to all three clouds. If you already have a Microsoft 365 tenant and licenses for all Microsoft for Healthcare apps, then you can skip this module and proceed to the next module in this Learning Path.

Learning objectives

This module explains the following concepts:

• Dependencies of Microsoft for Healthcare
• Set up trial licenses for dependent products and create users with least privilege roles to execute the tasks.
• Set up trial licenses for Microsoft for Healthcare
• Configure the environment to deploy Microsoft for Healthcare
• How to assign security roles

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Healthcare data solutions in Microsoft Fabric is a unified healthcare analytics solution for the era of AI. It allows healthcare organizations to break down data silos and harmonize their disparate healthcare data in a single, unified store where analytics and AI workloads can operate on a scale.

Learning objectives

This module explains the following concepts:

• Key challenges in AI that healthcare organizations experience
• Healthcare data solutions in Microsoft Fabric that help resolve the issues
• Architecture and core components of healthcare data solutions that are involved in data transformation
• How to deploy healthcare data solutions and ingest sample data

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This module provides a foundational description of the integration and interoperability challenges that exist in the healthcare and life sciences industries and how Microsoft 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.

Learning objectives

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.

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The Fast Healthcare Interoperability Resources (FHIR®, pronounced “fire”) data standard enables health data storage, querying, and exchange. Using Text Analytics for health, a feature of Azure Cognitive Services, you can convert unstructured health data into a FHIR resource bundle.

Learning objectives

In this module, you’ll explain the following concepts:

• Document structuring
• FHIR data structures
• FHIR output requests

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Azure Health Data Services is a managed platform as a service (PaaS) based on OpenAPI standards and frameworks that enable more secure and scalable health data solutions. Azure Health Data Services empowers Microsoft for Healthcare and other health workloads by enabling more secure and compliant paths to ingest, persist, and connect health data in the cloud.

In this Learning Path, you’ll gain a foundational understanding of Azure Health Data Services and its core components. You’ll be guided through use cases as you explore interoperability challenges of health and life sciences data, examine the tools and connectors of Azure Health Data Services and their benefits, review the data architecture of FHIR® and the details of how the FHIR API is implemented, explore the DICOM® standards and DICOM® service using the use case for radiology data in cancer treatment and how to enable IoT data scenarios for remote patient monitoring.

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This module provides an in-depth explanation of the integration and interoperability solutions that are available in Microsoft for Healthcare. It describes solutions such as Azure Health Data Services, Data integration toolkit, Dataverse Healthcare API, and virtual health data tables. Additionally, the hands-on lab experience helps you tailor your integration and interoperability solutions.

Learning objectives

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.

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Azure Health Data Services is a managed platform as a service (PaaS) based on OpenAPI standards and frameworks that allow more secure and scalable health data solutions. Azure Health Data Services empowers Microsoft for Healthcare and other health workloads by allowing more secure and compliant paths to ingest, persist, and connect health data in the cloud. Azure Health Data Services is a set of tools and connectors that help organizations bring health data to the Microsoft Cloud and improve health through insights.

Learning objectives

This module explains the following concepts:

• Interoperability challenges of health and life sciences data
• Azure Health Data Services and their benefits
• Tools and connectors of the Azure Health Data Services

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The Dynamics 365 Customer Insights – Data Preparation capability in healthcare data solutions transforms the complex, nested structure of your Fast Healthcare Interoperability Resources (FHIR) data in OneLake for uses like patient segmentation and outreach initiatives. When connected, you can use the data in Dynamics 365 Customer Insights – Data.

Learning objectives

In this module, you’ll:

• Deploy the capability.
• Run the data pipeline to transform your data from the silver lakehouse.
• Gain insights with the data in customer insights lakehouse connected to Dynamics 365 Customer Insights –

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DICOM® (Digital Imaging and Communications in Medicine) is the international standard for medical images, imaging formats, and related information. It’s the ISO 12052 standard that defines the data quality and exchange specifications for images to meet clinical use requirements. Digitization of medical imaging data by using the DICOM standard will enable health data interoperability. Microsoft cloud is equipped to ingest, persist, and connect DICOM imaging data to help improve patient outcomes.

Learning objectives

In this module, you’ll:

• Learn why DICOM standards are important.
• Explore the DICOM service and its capabilities.
• Review the integration with Healthcare data solutions in Microsoft Fabric
• Discover open-source projects that support DICOM.

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Healthcare data solutions in Microsoft Fabric solutions help you transform unstructured or semi-structured healthcare data and persist into the data lake, ensuring accessibility and usability for continued analysis. By deploying the solutions directly to a Fabric workspace, you can harness the power of autoscaling capabilities inherent to built-in serverless SQL pools, optimizing both performance and scalability.

In this Learning Path, you’re guided through hands-on exercises to deploy the solutions in Healthcare data solutions in Microsoft Fabric. In these exercises you deploy the solutions, ingest and transform data, run pipelines and analyze the data.

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