|
2 | 2 | title: What is the MedTech service? - Azure Health Data Services
|
3 | 3 | description: In this article, you'll learn about the MedTech service, its features, functions, integrations, and next steps.
|
4 | 4 | services: healthcare-apis
|
5 |
| -author: msjasteppe |
| 5 | +author: mcevoy-building7 |
6 | 6 | ms.service: healthcare-apis
|
7 | 7 | ms.subservice: fhir
|
8 | 8 | ms.topic: overview
|
9 |
| -ms.date: 07/19/2022 |
10 |
| -ms.author: jasteppe |
| 9 | +ms.date: 08/24/2022 |
| 10 | +ms.author: v-smcevoy |
11 | 11 | ---
|
12 | 12 |
|
13 |
| -# What is the MedTech service? |
| 13 | +# What is MedTech service? |
14 | 14 |
|
15 |
| -## Overview |
| 15 | +## Introduction |
16 | 16 |
|
17 |
| -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. |
| 17 | +MedTech service in Azure Health Data Services is a Platform as a service (PaaS) that enables you to gather data from diverse medical devices and change it into a Fast Healthcare Interoperability Resources (FHIR®) service format. MedTech service's device data translation capabilities make it possible to convert a wide variety of data into a unified FHIR format that provides secure health data management in a cloud environment. |
18 | 18 |
|
19 |
| -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. |
| 19 | +MedTech service is important because healthcare data can be difficult to access or lost when it comes from diverse or incompatible devices, systems, or formats. If medical information isn't easy to access, it may have a negative impact on gaining clinical insights and a patient's health and wellness. The ability to translate many types of medical device data into a unified FHIR format enables MedTech service to successfully link devices, health data, labs, and remote in-person care to support the clinician, care team, patient, and family. As a result, this capability can facilitate the discovery of important clinical insights and trend capture. It can also help make connections to new device applications and enable advanced research projects. |
20 | 20 |
|
| 21 | +## How MedTech service works |
21 | 22 |
|
22 |
| -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. |
| 23 | +The following diagram outlines the basic elements of how MedTech service transforms medical device data into a standardized FHIR resource in the cloud. |
23 | 24 |
|
24 |
| -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. |
| 25 | +:::image type="content" source="./media/iot-what-is/what-is-simple-diagram.png" alt-text="Simple diagram showing MedTech service." lightbox="./media/iot-what-is/what-is-simple-diagram.png"::: |
25 | 26 |
|
26 |
| -> [!NOTE] |
27 |
| -> Learn more about [Azure Event Hubs](../../event-hubs/index.yml) use cases, features and architectures. |
| 27 | +These elements are: |
28 | 28 |
|
29 |
| -:::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"::: |
| 29 | +### Deployment |
30 | 30 |
|
31 |
| -## Scalable |
| 31 | +In order to implement MedTech service, you need to have an Azure subscription and set up a workspace and namespace to deploy three Azure services: MedTech service, FHIR service, and Event Hubs service. This creates the PaaS configuration required to receive and process data from Internet of Medical Things (IoMT) devices. |
32 | 32 |
|
33 |
| -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. |
| 33 | +### Devices |
34 | 34 |
|
35 |
| -## Configurable |
| 35 | +When the PaaS deployment is completed, high-velocity and low-velocity patient medical data can be collected from a wide variety of JSON-compatible IoMT devices, systems, and formats. |
36 | 36 |
|
37 |
| -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. |
| 37 | +### Event Hubs service |
38 | 38 |
|
39 |
| -The different points for extension are: |
40 |
| -* 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. |
41 |
| -* FHIR conversion: Health data is normalized and grouped by mapping commonalities to FHIR. Observations can be created or updated according to chosen or configured templates. Devices and health care consumers can be linked for enhanced insights and trend capture. |
| 39 | + IoMT data is then sent from a device over the Internet to Event Hubs service to hold it temporarily in the cloud. The event hub asynchronously processes millions of data points per second, eliminating data traffic jams and making it possible to easily handle huge amounts of information in real time. |
42 | 40 |
|
43 |
| -> [!TIP] |
44 |
| -> Check out the [IoMT Connector Data Mapper](https://github.com/microsoft/iomt-fhir/tree/master/tools/data-mapper) tool for editing, testing, and troubleshooting MedTech service Device and FHIR destination mappings. Export mappings for uploading to the MedTech service in the Azure portal or use with the [open-source version](https://github.com/microsoft/iomt-fhir) of the MedTech service. |
| 41 | +### MedTech service |
45 | 42 |
|
46 |
| -## Extensible |
| 43 | +After device data has been loaded into Event Hubs service, MedTech service can pick it up and process it into a unified FHIR format in five stages. |
47 | 44 |
|
48 |
| -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: |
49 |
| -* Fitbit® |
50 |
| -* Apple® |
51 |
| -* Google® |
| 45 | +These are the five stages: |
52 | 46 |
|
53 |
| -The MedTech service may also be used with the following Microsoft solutions to provide more functionalities and insights: |
54 |
| - * [Azure Machine Learning Service](./iot-connector-machine-learning.md) |
55 |
| - * [Microsoft Power BI](./iot-connector-power-bi.md) |
56 |
| - * [Microsoft Teams](./iot-connector-teams.md) |
57 |
| - |
58 |
| -## Secure |
59 |
| -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. |
| 47 | +1. **Ingest** - MedTech service asynchronously loads the device data from the event hub at very high speed. |
| 48 | + |
| 49 | +2. **Normalize** - After the data has been ingested, MedTech service uses device mapping to streamline and process it into a normalized schema format. |
| 50 | + |
| 51 | +3. **Group** - The normalized data is then grouped by using three different parameters to prepare it for the next stage of processing. The parameters are: device identity, measurement type, time period, and (optionally) correlation id. |
| 52 | + |
| 53 | +4. **Transform** - When the normalized data is grouped, it is transformed through FHIR destination mapping templates and is ready to become FHIR Observation resources. |
| 54 | + |
| 55 | +5. **Persist** - After the transformation is done, the new data is sent to FHIR service and persisted as an Observation resource. |
| 56 | + |
| 57 | +### FHIR service |
| 58 | + |
| 59 | +MedTech service data processing is complete when the new FHIR Observation resource is successfully persisted and saved into the FHIR service. Now it's ready for use by the care team, clinician, laboratory, or research facility. |
| 60 | + |
| 61 | +## Key features of MedTech service |
| 62 | + |
| 63 | +MedTech service has many features that make it very secure, configurable, scalable, and extensible. |
| 64 | + |
| 65 | +### Secure |
| 66 | + |
| 67 | +MedTech service delivers your data to FHIR service in Azure Health Data Services, ensuring that your Protected Personal Health Information (PHI) has unparalleled security and advanced threat protection. The FHIR service isolates your data in a unique database per API instance and protects it with multi-region failover. In addition, 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 extra security and control of your MedTech service assets. |
| 68 | + |
| 69 | +### Configurable |
| 70 | + |
| 71 | +Your MedTech service can be customized and configured by using [Device](./how-to-use-device-mappings.md) and [FHIR destination](./how-to-use-fhir-mappings.md) mappings to define the filtering and transformation of your data into FHIR Observation resources. |
| 72 | + |
| 73 | +Useful options could include: |
| 74 | + |
| 75 | +- Linking Devices and health care consumers together for enhanced insights, trend capture, interoperability between systems, and proactive and remote monitoring. |
| 76 | + |
| 77 | +- Observations that can be created or updated according to existing or new templates. |
| 78 | + |
| 79 | +- Being able to choose Health data terms that work best for your organization and provide consistency in device data ingestion. For example, you could have either "hr" or "heart rate" or "Heart Rate" to define heart rate information. |
| 80 | + |
| 81 | +- Facilitating customization, editing, testing, and troubleshooting MedTech service Device and FHIR destination mappings with The [IoMT Connector Data Mapper](https://github.com/microsoft/iomt-fhir/tree/master/tools/data-mapper) open-source tool. |
| 82 | + |
| 83 | +### Scalable |
| 84 | + |
| 85 | +The MedTech service has special autoscaling features that enable developers to easily modify and extend the capabilities to support new device mapping template types and FHIR resources. |
| 86 | + |
| 87 | +### Extensible |
| 88 | + |
| 89 | +The MedTech service may also be integrated into our [open-source projects](./iot-git-projects.md) for ingesting IoMT device data from these wearables: |
| 90 | + |
| 91 | +- Fitbit® |
| 92 | + |
| 93 | +- Apple® |
| 94 | + |
| 95 | +- Google® |
| 96 | + |
| 97 | +The following Microsoft solutions can leverage MedTech service for additional functionality: |
| 98 | + |
| 99 | +- [**Microsoft Azure IoT Hub**](../../iot-hub/iot-concepts-and-iot-hub.md) - enhances workflow and ease of use. |
| 100 | + |
| 101 | +- [**Azure Machine Learning Service**](./iot-connector-machine-learning.md) - helps build, deploy, and manage models, integrate tools, and increase open-source operability. |
| 102 | + |
| 103 | +- [**Microsoft Power BI**](./iot-connector-power-bi.md) - enables data visualization features. |
| 104 | + |
| 105 | +- [**Microsoft Teams**](./iot-connector-teams.md) - facilitates virtual visits. |
60 | 106 |
|
61 | 107 | ## Next steps
|
62 | 108 |
|
63 |
| -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 |
| 109 | +In this article, you learned about the MedTech service. To learn more about the MedTech service data flow and how to deploy the MedTech service in the Azure portal, see |
64 | 110 |
|
65 | 111 | >[!div class="nextstepaction"]
|
66 | 112 | >[The MedTech service data flows](./iot-data-flow.md)
|
67 | 113 |
|
68 | 114 | >[!div class="nextstepaction"]
|
69 | 115 | >[Deploy the MedTech service using the Azure portal](./deploy-iot-connector-in-azure.md)
|
70 | 116 |
|
| 117 | +>[!div class="nextstepaction"] |
| 118 | +>[Frequently asked questions about the MedTech service](./iot-connector-faqs.md) |
| 119 | +
|
71 | 120 | FHIR® is a registered trademark of Health Level Seven International, registered in the U.S. Trademark Office and is used with their permission.
|
0 commit comments