An application to assist healthcare users in forming new patient records with both accuracy and efficiency.
We built this project over two different phases, each representing two different possible operations of health care data.
Patient presents medical insurance card at the doctors office. An image of the insurance card is uploaded to the system and sent to the OCR service to extract patient biographic information as well as insurance coverage information.
The information exracted by the OCR is presented on a form for a intake specialist to verify, correct, and then submit to the EMR system using the FHIR API exposed by the Azure Health Data Service.
For a given patient, we obtain a discharge summary and extract relevant medical information. Using a custom web application, we submit the contents of the dischard summary to the Text Analytics for Healthcare service.
Upon successful processing, we extract the entities identified as well as the FHIR bundle. The extracted entities are then displayed on a web page on a custom web application to conduct quick spot/quality check. Once the data is validated, the extracted FHIR bundle is submitted to the Azure Health Data Services for saving into the EMR using the Azure Health Data Service FHIR API.
The healthcare industry is rapidly transforming health data to the emerging standard of FHIR® (Fast Healthcare Interoperability Resources). FHIR enables a robust, extensible data model with standardized semantics and data exchange that enables all systems using FHIR to work together. FHIR also enables the rapid exchange of data in applications. Backed by a managed PaaS Azure API for FHIR offering, FHIR also provides a scalable and secure environment for the management and storage of Protected Health Information (PHI) data in the native FHIR format.
- Deploy Azure API for FHIR with First Party Auth by deploying via the Azure Portal.
- To access the Azure API for FHIR, apply RBAC by adding users to
FHIR Data ReaderorFHIR Data Contributorrole using Access Control (IAM). The users with access will authenticate through the Connector which assumes their role. - Load sample data into Azure API for FHIR.
- Sample project to load data into FHIR can be found here
- Detailed instructions to load synthetic data can be found in the OpenHack-FHIR Github
- See the following link for more details on Using Azure API for FHIR
- Get access to Power Platform environment to create Power Apps.
- Custom Connectors FHIRBase and FHIRClinical need to be added to your PowerPlatform Environment by an Environment Administrator.
- Details on FHIRBase Actions and FHIRClinical Actions for API calls.
- Mapping FHIR Base and Clinical Resources to FHIRBase and FHIRClinical connectors.
- More details on Power Apps
- Instructions to create your custom connector, can be found [here](./CUSTOM_CONNECTOR.md)
- Sample custom connector can be found [here](./SampleFHIRCustomConnector)
We built a custom web application using Blazor to handle the application flow. The application manages the two usecases mentioned above, the medical intake as well as the discharge summary analysis.
The application will be deployed as a static website for performance purposes. We want to improve the performance, while also lowering the deployment cost. Since we are using a static website for production deployment, we’ll need to using the SWA CLI for local development. When you deploy a static website on Azure, Azure provides the backend support required to run the application. This includes wiring up support of Authentication/Authorization as well as access to Azure Functions. In order to support local development, this infrastructure is not available, which is what the SWA CLI provides.
Most recent version of Azure Functions CLI, Static Web Apps CLI, and atleast DOTNET version 7
- Clone Project from Git
- Expand FastPass.API and add a document called local.setting.json
- Initialize the following properties in the new file:
{
"IsEncrypted": false,
"Host": {
"CORS": "*" },
"Values": {
"AzureWebJobsStorage": "UseDevelopmentStorage=true",
"FUNCTIONS_WORKER_RUNTIME": "dotnet-isolated",
"IsDevelopment": "true",
"APIConfig:TextAnalyticsBase": "",
"APIConfig:TextAnalyticsKey": "",
"APIConfig:FhirScope": "",
"APIConfig:FhirServerUri": "",
"APIConfig:Authority": "",
"APIConfig:TenantId": "",
"APIConfig:ClientId": "",
"APIConfig:ClientSecret": "" }
}
- The Base and Key can be found in the resource group contianing your Azure Language service
- The Uri can be found in the resource group containing your Azure API for FHIR service and the Scope will be the default so it should look like the following:
"your uri"/.default - The Tenant Id can be found in the Tenant Properties of your AAD subscription
- The ClienntId and ClientSecret can be found in your Azure Static Web Page resource
- Right click on the solution file and select "startup project" and select the "multiple files option". You will select "start" for both the API and UI files
- After building and running you should run the following command in a separate instance:
swa start http://localhost:5043 --api-location http://localhost:7214 - With the debugger open on your local host go to the local host port indicated by the emulator. For example:
Azure Static Web Apps emulator started at http://localhost:4280. Press CTRL+C to exit. - Log in to the version of the app residing at the port indicated by the emulator using one of the given options
- Begin submitting text. For example:
Patient: Patient H Sample Provider's Pt ID: 6910828 Sex: Female
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