Using an AWS HealthLake data store with Fast Healthcare Interoperability Resources (FHIR) data - AWS HealthLake

Using an AWS HealthLake data store with Fast Healthcare Interoperability Resources (FHIR) data

In AWS HealthLake, you use a data store to store data in HL7 FHIR (R4) format. The topics in this chapter describe how to create a data store, import data into a data store, export data from a data store, and how to monitor a data store. To perform many of the actions and operations described in this chapter, you must have the required IAM permissions added to your IAM user or role. To learn more about how HealthLake interacts with IAM, see How AWS HealthLake works with IAM.

HealthLake is also integrated with AWS CloudTrail. You can use CloudTrail to provide a record of actions taken by a user, role, or an AWS service in HealthLake. CloudTrail captures all API calls and console actions for HealthLake as events. To learn more, see Logging AWS HealthLake API Calls with AWS CloudTrail.

To learn more about the Fast Healthcare Interoperability Resources (FHIR) resource types that are supported by HealthLake, see Supported FHIR resource types in AWS HealthLake.

Amazon Athena compatibility

HealthLake date stores created prior to November, 14, 2022 cannot perform SQL queries using Athena. To use Athena search capabilities on your preexisting data store, first migrate the data to a new data store. To learn more about migrating preexisting data stores, see Migrating an existing data store to use Amazon Athena.