Healthcare data transformation
Healthcare data transformation normalizes FHIR data and enriches unstructured clinical notes. Relational FHIR normalizes, transforms, and then harmonizes the FHIR data to the Silver model. The data in JSON format isn't conducive for analytics, so the system uses Relational FHIR to convert the data into tabular data. This approach allows data engineers and analysts to use traditional SQL tooling to unlock insights in the JSON data. FHIR also allows you to embed unstructured data by using document references. By using Text Analytics for Health, you can extract structured FHIR data, persist it, and then further enrich the clinical data estate. With this capability, you can use Text Analytics for Health directly in your Fabric data pipelines. For more information on data transformation, see Healthcare data foundations and Unstructured clinical notes enrichment.
With this capability, you can deploy the Silver lakehouse, SQL endpoint, transformation notebook, nlp notebook, and sample queries.
