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The Care Management application, as part of Microsoft for Healthcare, allows health organizations to view and manage their healthcare data in one place. It helps providers create, personalize, and view care plans, in addition to managing care teams, viewing clinical timelines, and acquiring health analytics.

Learning objectives

In this module, you’ll:

• Explore the Microsoft for Healthcare data model.
• Navigate the Care Management application.
• Create a new location record for Lamna Healthcare Company.

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Microsoft for Healthcare provides Text Analytics for health to get valuable insights. With Text Analytics for health, a feature of Microsoft Azure Cognitive Services, you can convert unstructured health data into structured health data.

In this Learning Path, you’ll gain a foundational understanding of Text Analytics for health. You’ll dive into the basics of Azure Cognitive Services and Text Analytics outputs. You’ll be guided through practical hands-on exercises as you use Text Analytics for health as a cloud service or deploy it by using a Docker container. You’ll learn how to use the Language studio, REST API and SDKs.

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In this module, you’ll learn how to configure the virtual visits as part of the Microsoft for Healthcare. The virtual visits allow clinicians to use video conferencing to provide high-quality, personalized, and affordable consultations. Using the entire meetings platform in Microsoft Teams, providers can schedule, manage, and conduct virtual visits with patients.

Learning objectives

After you complete this module, you’ll be able to:

• Set up virtual visits in Microsoft for Healthcare
• Set up Microsoft Teams for virtual visits
• Schedule a virtual visit in the Patient Portal

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With Microsoft for Healthcare, healthcare organizations can deliver personalized experiences to engage patients in more secure, individualized encounters through every point of care.

In this Learning Path, you gain a foundational understanding of Microsoft for Healthcare capabilities for patient experiences. You’re guided through practical hands-on exercises as you set up the healthcare applications in Microsoft for Healthcare using Dynamics 365, Power Platform, Microsoft 365, and Azure. You dive into various modules namely Patient Access, Virtual Visits, and Azure Health Bot.

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By using Text Analytics for health, a feature of Azure Cognitive Services, you can convert unstructured health data into structured health data to enable further processing. The service can write the structured data in the format of a JSON file or as a FHIR bundle of interconnected hierarchical resources.

Learning objectives

In this module, you’ll:

• Work with health data.
• Learn about the basics of Azure Cognitive Services.
• Learn about Text Analytics outputs.

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Text Analytics for health, a feature of Azure Cognitive Services, converts unstructured health data into structured health data to provide valuable insights on your data in Microsoft Cloud for Healthcare.

Learning objectives

In this module, you’ll:

• Learn how to use Text Analytics for health as a cloud service or deploy it by using a Docker container.
• Learn how to use REST API and SDKs.
• Use the SDK to access the service and deploy a Text Analytics for health container to your local computer.

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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.

Learning objectives

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.

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Explore the Azure AI Health Bot and discover how healthcare organizations can use it to build and deploy AI-powered, compliant, conversational healthcare experiences at scale. Azure AI Health Bot combines a built-in medical database with natural language capabilities to understand clinical terminology, and you can customize it to support your organization’s clinical use cases. The service ensures alignment with industry compliance requirements and is privacy protected to HIPAA standards.

Learning objectives

This module explains how to:

• Set up Azure AI Health Bot.
• Set up Omnichannel for Customer Service live chat.
• Embed Azure AI Health Bot in a Power Apps portal.
• Extend Azure AI Health Bot with custom scenarios.

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Healthcare data solutions in Microsoft Fabric is a unified healthcare analytics solution of Microsoft for Healthcare for the era of AI. It enables 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.

In this Learning Path, you gain a foundational understanding of Healthcare data solutions in Microsoft Fabric, the AI challenges of healthcare organizations, and how healthcare data solutions in Microsoft Fabric helps resolve them. You’ll also learn about the core components of healthcare data solutions.

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Provide patients with access to their health data, appointment scheduling, and information through the Patient Access portal and the Patient Service Center.

Learning objectives

In this module, you’ll:

• Set up and navigate the Patient Access portal.
• Create and set up agent scripts to show in the Productivity pane.
• Create and set up knowledge articles.
• Experience an escalation scenario from the Healthcare Patient Portal through Microsoft Azure Health Bot into Patient Service Center.

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