This repository contains different samples applications and sample code to help you get started with the different Health-AI services. Based on these you will learn how to use our products, and accelerate your implementations.
This project hosts open-source samples for services developed by the Health-AI team. To learn more about the Health-AI Services, please refer to the managed service documentation:
- Azure Health bot Documentation
- Azure Health Insights Documentation
- Text Analytics for Health Documentation
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:
The Intelligent Dashboard is designed to help healthcare professionals and organizations efficiently gather insights from unstructured healthcare information. By utilizing [Text Analytics for Health] (https://learn.microsoft.com/azure/azure-health-insights), the sample application is able to receive unstructured healthcare information and generate structured insights. The insights generated from Text Analytics for Health are then used to create population insights dashboards, which are accessible in a single Power App. With this innovative sample, healthcare professionals can easily access and analyze data in real-time. Say goodbye to the tedious process of manually analyzing healthcare data and hello to our Intelligent Dashboard sample!
This repository contains several open-source example Power Apps which were created based on a study called 'The Day in the Life of a Nurse'. One of the outcomes were several minimal viable products that could support nurses in their daily job. These starter Power Apps solutions are enhanced with Nuance Speech to Text, and utilize Text Analytics for Health for medical structuring. The data is being served from FHIR API and utilize the FHIRBase and FHIRClinical Power Platform connectors. The application can also be linked to Microsoft Shifts where you can get real-time shift info from your colleagues.
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 https://cla.opensource.microsoft.com.
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 Health-AI Samples is an open-source project. It is not a managed service, and it is not part of the Health-AI 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 Health-AI Services Samples repo.
The Azure Health-AI 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.