Utilize the Visualizer tool to extract insights from unstructured medical text. Healthcare providers can use it to answer the following questions:
- Patients diagnosed with X are typically treated with Y
- The top 5 symptoms our doctors treat with medication X
- What percentage of women are diagnosed with X, Y and have symptoms Z or W?
- The three most common pathways for patients diagnosed with X 3 months before being treated by Y
- What are the most common examinations and what are their medical codes?
1. Deploy "Green path" pipeline (step 1):
(Deploys required Azure Resources: Web App, Storage Account, Function App, Text Analytics for Health and Health Data Services)
2. Complete "Green path" pipeline (step 2):
Before running Armed Template:
a. Go to "Azure Active Directory"
b. Click App registrations
c. Create new registration
d. Create new secret and copy its value
e. Add "Fhir Contributor" Role for created "App regestration" in "ta4h Fhir Service" resource
Run Armed Template:
That will open https://raw.githubusercontent.com/microsoft/healthcare-apis-samples/main/src/templates/importer.json taken from open source
https://github.com/microsoft/healthcare-apis-samples/tree/main/src/FhirImporter
After running Armed Template:
a. Go to new created function.
b. Open configuration
c. Change value of AzureWebJobsStorage to a connection string taken from storage "fhirstorageXXX"
d. Press Save and wait for approval
3. "Yellow path" pipeline (optional):
a. https://github.com/microsoft/FHIR-Analytics-Pipelines/blob/main/FhirToDataLake/docs/Deployment.md
(Moves FHIR server data to Azure Data-Lake to perform analytics and ML)
b. Create report using this tutorial: https://docs.microsoft.com/en-us/azure/synapse-analytics/get-started-visualize-power-bi
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