Demonstration of using OpenAI to generate FHIR Queries for exploring FHIR Server data and summarizing that data. You may also use it as a general GPT prompt response platform.

1. A running instance of AHDS FHIR Service or Azure API for FHIR
2. A running instance of Azure OpenAI Service and gpt-turbo-35 or gpt-4 deployed conversation completion model resource
3. A registered Public Client
4. Enable CORS on FHIR Server
   Note: This is a SPA client and is not secure it is for demonstration purposes and not to be used in production or with any PHI/PII.

AAD App Registration that is used for access to FHIR Server and OAuth setup needs to have

• SPA redirect URLs registered
• Access and ID tokens enabled
• API permissions granted to access Graph and Azure Healthcare APIs

1. Download and install nodejs and npm for your platform
2. Switch to root directory of this repo
3. Run npm install
4. Provide the following JSON Configuration object info as a single string environment variable named NODE_CONFIG:

{
	"aiConfig": {
		"aiResourceName": "<your open ai resource name>",
		"aiDeploymentName": "<your open ai deployment name>",
		"aiAPIVersion": "<your open ai api version>",
		"aiKey": "<your open ai key>"
	},
	"fhirConfig": {
		"fhirEndpoint": "<your fhir server endpoint URL>"
	},
	"authConfig": {
		"clientId": "<your fhir server principal client id>",
		"authority": "<your fhir server principal client authority e.g. https://login.microsoftonline.com/{tenantid}>",
		"redirectUri": "<your fhir server principal client redirect url e.g. http://localhost:3000>"
	}
}

Note: example in nodeconfig.json 5. Run npm start