Using automated resource generation based on natural language processing (NLP) of the FHIR DocumentReference resource type in Amazon HealthLake - Amazon HealthLake

Using automated resource generation based on natural language processing (NLP) of the FHIR DocumentReference resource type in Amazon HealthLake

Note

When you create a HealthLake data store and create or update DocumentReference resources, you incur charges in your AWS account. For more details, see Amazon HealthLake pricing.

HealthLake automatically provides you with integrated natural language processing (NLP) using Amazon Comprehend Medical for unstructured data processing for data stored in the DocumentReference resource type. To do this, HealthLake calls the Amazon Comprehend Medical DetectEntities-V2, InferICD10-CM, and InferRxNorm API operations. The results are automatically appended to the DocumentReference resource as an extension. When the Amazon Comprehend Medical API operations detect traits that are SIGN, SYMPTOM, and DIAGNOSIS, a Linkage resource type is generated automatically. New condition and observation resources are created from entities identified with the traits of SIGN, SYMPTOM, or DIAGNOSIS and are linked to the source document with this linkage resource.

For resources generated by the integrated NLP, you can make GET requests, but searching these new resources is not supported.

To learn more about searching these extensions using HealthLake's integration with Athena, see Searching your HealthLake data store using SQL.