
azure-health-data-and-ai-samples
Samples for using the Azure Health Data Services
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The Azure Health Data and AI Samples Repo is a collection of sample apps and code to help users start with Azure Health Data and AI services, learn product usage, and speed up implementations. It includes samples for various health data workflows, such as data ingestion, analytics, machine learning, SMART on FHIR, patient services, FHIR service integration, Azure AD B2C access, DICOM service, MedTech service, and healthcare data solutions in Microsoft Fabric. These samples are simplified scenarios for testing purposes only.
README:
The Azure Health Data and AI Samples Repo is a set of sample apps and sample code provided to help you get started with Azure Health Data and AI services, learn how to use our products, and accelerate your implementations.
This project hosts open-source samples for Azure Health Data and AI.
To learn more about Azure Health Data Services, please refer to the managed service documentation here.
This project provides samples outlining example implementations of various use cases across stages of health data workflows. The "samples" folder contains all the sample apps organized by use case. The samples are listed here:
Sample | Description |
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Migrate data from one Azure API for FHIR server to another API for FHIR server | Sample app for copying/migrating data from one Azure API for FHIR server to another Azure API for FHIR server. |
Sample | Description |
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Sample Postman queries | Learn how to interact with FHIR data using Postman with this starter Postman collection of common Postman queries used to query FHIR server, including FHIR searches, creating, reading, updating, and deleting requests for FHIR resources, and other operations. |
Sample | Description |
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Visualize Digital Quality Measures in PowerBI leveraging FHIR parquet data in Data Lake | Sample demonstrates how to calculate example quality measures from FHIR data by querying flattened FHIR parquet file data in Synapse Analytics and visualizing the results in Power BI. |
Integrate Azure Health Data Services FHIR data with Delta Lake on Azure Databricks | Learn how to use Azure Databricks with Azure Health Data Services. Sample demonstrates how to automatically connect data from the FHIR Service into analytics platforms on Azure Databricks Delta Lake using the Analytics Connector. |
Sample | Description |
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SMART on FHIR sample | Sample demonstrating using SMART on FHIR to interact with FHIR data in Azure Health Data Services. |
Sample | Description |
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Patient and Population Services (g)(10) (including SMART on FHIR) sample | Sample utilizing Azure Health Data Services to demonstrate to health organizations with the steps to meet the §170.315(g)(10) Standardized API for patient and population services criterion. |
Sample | Description |
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FHIR Service and Terminology Service Integration | Sample shows how an external terminology service can be used in conjunction with the Azure Health Data Services FHIR service by providing a unified endpoint for the FHIR service as well as terminology operations. |
Sample | Description |
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Azure Active Directory B2C to grant access to the FHIR service | This sample provides ARM templates for using Active Directory B2C to grant access to the FHIR service. |
Sample | Description |
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DICOM service demo environment | This sample provisions a full end-to-end demo environment of a simplified on-prem radiology network in an Azure resource group. Instructions are provided for configuring and using the DICOM router and ZFP viewer included in the environment. |
Sample | Description |
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MedTech service mappings | The MedTech service scenario-based samples provide conforming and valid device and FHIR destination mappings and test device messages to assist with authoring and troubleshooting mappings. |
Sample | Description |
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ALM integration helper | Healthcare Data Solutions (HDS) in Microsoft Fabric supports version control through Application Lifecycle Management (ALM). This sample notebook allows for seamless migration of the Healthcare data solution item dependencies from a source workspace. |
NOTE: These code samples are simplified scenarios showing how you can use Azure Health Data Services. These samples should be used for testing purposes only with sample data.
Azure Health Data Services documentation
This project welcomes contributions and suggestions. Most contributions require you to agree to a Contributor License Agreement (CLA) declaring that you have the right to, and actually do, grant us the rights to use your contribution. For details, visit Contributor License Agreements.
When you submit a pull request, a CLA bot will automatically determine whether you need to provide a CLA and decorate the PR appropriately (e.g., status check, comment). Simply follow the instructions provided by the bot. You will only need to do this once across all repos using our CLA.
This project has adopted the Microsoft Open Source Code of Conduct. For more information see the Code of Conduct FAQ or contact [email protected] with any additional questions or comments.
The Azure Health Data Services Samples Repo is an open-source project. It is not a managed service, and it is not part of Microsoft Azure Health Data Services. The sample apps and sample code provided in this repo are used as examples only. You bear sole responsibility for compliance with local law and for any data you use when using these samples. Please review the information and licensing terms on this GitHub website before using the Azure Health Data Services Samples repo.
The Azure Health Data Services Samples Github repo is intended only for use in transferring and formatting data. It is not intended for use as a medical device or to perform any analysis or any medical function and the performance of the software for such purposes has not been established. You bear sole responsibility for any use of this software, including incorporation into any product intended for a medical purpose.
This project may contain trademarks or logos for projects, products, or services. Authorized use of Microsoft trademarks or logos is subject to and must follow Microsoft's Trademark & Brand Guidelines. Use of Microsoft trademarks or logos in modified versions of this project must not cause confusion or imply Microsoft sponsorship. Any use of third-party trademarks or logos are subject to those third-party's policies.
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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