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articles/healthcare-apis/iot/concepts-machine-learning.md

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ms.service: healthcare-apis
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ms.subservice: fhir
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ms.topic: conceptual
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ms.date: 1/12/2023
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ms.date: 02/27/2023
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ms.author: jasteppe
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# The MedTech service and Azure Machine Learning Service
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> [!NOTE]
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> [Fast Healthcare Interoperability Resources (FHIR®)](https://www.hl7.org/fhir/) is an open healthcare specification.
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In this article, we'll explore using the MedTech service and Azure Machine Learning Service.
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## The MedTech service and Azure Machine Learning Service reference architecture
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The MedTech service enables IoT devices seamless integration with Fast Healthcare Interoperability Resources (FHIR®) services. This reference architecture is designed to accelerate adoption of Internet of Medical Things (IoMT) projects. This solution uses Azure Databricks for the Machine Learning (ML) compute. However, Azure ML Services with Kubernetes or a partner ML solution could fit into the Machine Learning Scoring Environment.
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The MedTech service enables IoT devices seamless integration with FHIR services. This reference architecture is designed to accelerate adoption of Internet of Medical Things (IoMT) projects. This solution uses Azure Databricks for the Machine Learning (ML) compute. However, Azure ML Services with Kubernetes or a partner ML solution could fit into the Machine Learning Scoring Environment.
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The four line colors show the different parts of the data journey.
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articles/healthcare-apis/iot/concepts-power-bi.md

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ms.service: healthcare-apis
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ms.topic: conceptual
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ms.date: 02/27/2023
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# The MedTech service and Microsoft Power BI
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> [!NOTE]
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> [Fast Healthcare Interoperability Resources (FHIR®)](https://www.hl7.org/fhir/) is an open healthcare specification.
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In this article, we'll explore using the MedTech service and Microsoft Power Business Intelligence (BI).
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## The MedTech service and Power BI reference architecture
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The reference architecture below shows the basic components of using the Microsoft cloud services to enable Power BI on top of Internet of Medical Things (IoMT) and Fast Healthcare Interoperability Resources (FHIR®) data.
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This reference architecture shows the basic components of using the Microsoft cloud services to enable Power BI on top of Internet of Medical Things (IoMT) and FHIR data.
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You can even embed Power BI dashboards inside the Microsoft Teams client to further enhance care team coordination. For more information on embedding Power BI in Teams, visit [here](/power-bi/collaborate-share/service-embed-report-microsoft-teams).
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articles/healthcare-apis/iot/concepts-teams.md

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ms.date: 02/27/2023
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# The MedTech service and Microsoft Teams notifications
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> [!NOTE]
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> [Fast Healthcare Interoperability Resources (FHIR®)](https://www.hl7.org/fhir/) is an open healthcare specification.
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In this article, we'll explore using the MedTech service and Microsoft Teams for notifications.
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## The MedTech service and Teams notifications reference architecture
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When combining the MedTech service, a Fast Healthcare Interoperability Resources (FHIR®) service, and Teams, you can enable multiple care solutions.
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When combining the MedTech service, a FHIR service, and Teams, you can enable multiple care solutions.
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Below is the MedTech service to Teams notifications conceptual architecture for enabling the MedTech service, the FHIR service, and the Teams Patient App.
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The diagram is a MedTech service to Teams notifications conceptual architecture for enabling the MedTech service, the FHIR service, and the Teams Patient App.
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You can even embed Power BI Dashboards inside the Microsoft Teams client. For more information on embedding Power BI in Microsoft Team visit [here](/power-bi/collaborate-share/service-embed-report-microsoft-teams).
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