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Copy file name to clipboardExpand all lines: articles/healthcare-apis/iot/iot-connector-overview.md
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ms.service: healthcare-apis
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ms.subservice: fhir
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ms.topic: overview
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ms.date: 03/25/2022
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ms.date: 07/19/2022
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ms.author: jasteppe
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---
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# What is the MedTech service?
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## Overview
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MedTech service is an optional service of the Azure Health Data Services designed to ingest health data from multiple and disparate Internet of Medical Things (IoMT) devices and persisting the health data in a FHIR service.
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The MedTech service is an optional service of the Azure Health Data Services designed to ingest health data from multiple and disparate Internet of Medical Things (IoMT) devices and persisting the health data in a Fast Healthcare Interoperability Resources (FHIR®) service.
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MedTech service is important because health data collected from patients and health care consumers can be fragmented from access across multiple systems, device types, and formats. Managing healthcare data can be difficult, however, trying to gain insight from the data can be one of the biggest barriers to population and personal wellness understanding as well as sustaining health.
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The MedTech service is important because health data collected from patients and health care consumers can be fragmented from access across multiple systems, device types, and formats. Managing healthcare data can be difficult, however, trying to gain insight from the data can be one of the biggest barriers to population and personal wellness understanding and sustaining health.
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MedTech service transforms device data into Fast Healthcare Interoperability Resources (FHIR®)-based Observation resources and then persists the transformed messages into Azure Health Data Services FHIR service. Allowing for a unified approach to health data access, standardization, and trend capture enabling the discovery of operational and clinical insights, connecting new device applications, and enabling new research projects.
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The MedTech service transforms device data into FHIR-based Observation resources and then persists the transformed messages into the Azure Health Data Services FHIR service. Allowing for a unified approach to health data access, standardization, and trend capture enabling the discovery of operational and clinical insights, connecting new device applications, and enabling new research projects.
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Below is an overview of what the MedTech service does after IoMT device data is received. Each step will be further explained in the [MedTech service data flow](./iot-data-flow.md) article.
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Below is an overview of what the MedTech service does after IoMT device data is received. Each step will be further explained in the [The MedTech service data flows](./iot-data-flow.md) article.
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> [!NOTE]
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> Learn more about [Azure Event Hubs](../../event-hubs/index.yml) use cases, features and architectures.
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:::image type="content" source="media/iot-data-flow/iot-data-flow.png" alt-text="IoMT data flows from IoT devices into an event hub. IoMT data is ingested by the MedTech service as it is normalized, grouped, transformed, and persisted in the FHIR service." lightbox="media/iot-data-flow/iot-data-flow.png":::
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:::image type="content" source="media/iot-data-flow/iot-data-flow.png" alt-text="Screenshot of IoMT data as it flows from IoT devices into an event hub. IoMT data is ingested by the MedTech service as it is normalized, grouped, transformed, and persisted in the FHIR service." lightbox="media/iot-data-flow/iot-data-flow.png":::
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## Scalable
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MedTech service is designed out-of-the-box to support growth and adaptation to the changes and pace of healthcare by using autoscaling features. The service enables developers to modify and extend the capabilities to support additional device mapping template types and FHIR resources.
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The MedTech service is designed out-of-the-box to support growth and adaptation to the changes and pace of healthcare by using autoscaling features. The service enables developers to modify and extend the capabilities to support more device mapping template types and FHIR resources.
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## Configurable
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MedTech service is configured by using [Device](./how-to-use-device-mappings.md) and [FHIR destination](./how-to-use-fhir-mappings.md) mappings. The mappings instruct the filtering and transformation of your IoMT device messages into the FHIR format.
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The MedTech service is configured by using [Device](./how-to-use-device-mappings.md) and [FHIR destination](./how-to-use-fhir-mappings.md) mappings. The mappings instruct the filtering and transformation of your IoMT device messages into the FHIR format.
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The different points for extension are:
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* Normalization: Health data from disparate devices can be aligned and standardized into a common format to make sense of the data from a unified lens and capture trends.
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## Extensible
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MedTech service may also be used with our [open-source projects](./iot-git-projects.md) for ingesting IoMT device data from the following wearables:
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The MedTech service may also be used with our [open-source projects](./iot-git-projects.md) for ingesting IoMT device data from the following wearables:
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* Fitbit®
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* Apple®
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* Google®
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MedTech service may also be used with the following Microsoft solutions to provide more functionalities and insights:
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The MedTech service may also be used with the following Microsoft solutions to provide more functionalities and insights:
*[Microsoft Power BI](./iot-connector-power-bi.md)
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*[Microsoft Teams](./iot-connector-teams.md)
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## Secure
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MedTech service uses Azure [Resource-based Access Control](../../role-based-access-control/overview.md) and [Managed Identities](../../active-directory/managed-identities-azure-resources/overview.md) for granular security and access control of your MedTech service assets.
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The MedTech service uses [Azure role-based access control (Azure RBAC)](../../role-based-access-control/overview.md) and a [system-assigned managed identity](../../active-directory/managed-identities-azure-resources/overview.md) for granular security and access control of your MedTech service assets.
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## Next steps
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For more information about MedTech servicedata flow, see
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In this article, you learned about the MedTech service. To learn about the MedTech service data flows and how to deploy the MedTech service in the Azure portal, see
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>[!div class="nextstepaction"]
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>[MedTech service data flow](./iot-data-flow.md)
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For more information about deploying MedTech service, see
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>[The MedTech service data flows](./iot-data-flow.md)
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>[!div class="nextstepaction"]
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>[Deploying MedTech service in the Azure portal](./deploy-iot-connector-in-azure.md)
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>[Deploy the MedTech service using the Azure portal](./deploy-iot-connector-in-azure.md)
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(FHIR®) is a registered trademark of [HL7](https://hl7.org/fhir/)and is used with the permission of HL7.
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FHIR® is a registered trademark of Health Level Seven International, registered in the U.S. Trademark Office and is used with their permission.
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title: Data flow in the MedTech service - Azure Health Data Services
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description: Understand MedTech service's data flow. MedTech service ingests, normalizes, groups, transforms, and persists IoMT data to FHIR service.
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title: Data flows in the MedTech service - Azure Health Data Services
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description: Understand the MedTech service's data flows. The MedTech service ingests, normalizes, groups, transforms, and persists IoMT data to FHIR service.
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services: healthcare-apis
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author: msjasteppe
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ms.service: healthcare-apis
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ms.subservice: iomt
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ms.topic: conceptual
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ms.date: 03/25/2022
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ms.date: 07/19/2022
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ms.author: jasteppe
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---
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# MedTech service data flow
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# The MedTech service data flows
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This article provides an overview of the MedTech service data flow. You'll learn about the different data processing stages within the MedTech service that transforms device data into Fast Healthcare Interoperability Resources (FHIR®)-based [Observation](https://www.hl7.org/fhir/observation.html) resources.
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This article provides an overview of the MedTech service data flows. You'll learn about the different data processing stages within the MedTech service that transforms device data into Fast Healthcare Interoperability Resources (FHIR®)-based [Observation](https://www.hl7.org/fhir/observation.html) resources.
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Data from health-related devices or medical devices flows through a path in which the MedTech service transforms data into FHIR, and then data is stored on and accessed from the FHIR service. The health data path follows these steps in this order: ingest, normalize, group, transform, and persist. In this data flow, health data is retrieved from the device in the first step of ingestion. After the data is received, it's processed or normalized per user-selected or user-created schema templates, so that the health data is simpler to process and can be grouped. Health data is grouped into three Operate parameters. After the health data is normalized and grouped, it can be processed or transformed through FHIR destination mappings, and then saved or persisted on the FHIR service.
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This article goes into more depth about each step in the data flow. The next steps are [how to deploy the MedTech service](deploy-iot-connector-in-azure.md) by using Device mappings (the normalization step) and FHIR destination mappings (the transform step).
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This article goes into more depth about each step in the data flow. The next steps are [Deploy the MedTech service using the Azure portal](deploy-iot-connector-in-azure.md) by using Device mappings (the normalization step) and FHIR destination mappings (the transformation step).
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The next sections describe the stages that IoMT (Internet of Medical Things) data goes through once received from an event hub and into the MedTech service.
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This next section of the article describes the stages that IoMT (Internet of Medical Things) data goes through once received from an event hub and into the MedTech service.
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:::image type="content" source="media/iot-data-flow/iot-data-flow.png" alt-text="IoMT data flows from IoT devices into an event hub. IoMT data is ingested by MedTech service as it is normalized, grouped, transformed, and persisted in the FHIR service." lightbox="media/iot-data-flow/iot-data-flow.png":::
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:::image type="content" source="media/iot-data-flow/iot-data-flow.png" alt-text="Screenshot of IoMT data as it flows from IoT devices into an event hub. IoMT data is ingested by MedTech service as it is normalized, grouped, transformed, and persisted in the FHIR service." lightbox="media/iot-data-flow/iot-data-flow.png":::
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## Ingest
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Ingest is the first stage where device data is received into the MedTech service. The ingestion endpoint for device data is hosted on an [Azure Event Hubs](../../event-hubs/index.yml). Azure Event Hubs platform supports high scale and throughput with ability to receive and process millions of messages per second. It also enables the MedTech service to consume messages asynchronously, removing the need for devices to wait while device data gets processed.
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## Next steps
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Learn how to create Device and FHIR destination mappings.
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To learn how to create Device and FHIR destination mappings, see
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