Amazon HealthLake

Name: Amazon HealthLake API
Brand: Amazon HealthLake
Availability: InStock

★ Only Publicly Available SpecHealthcareEhr Emrhmac13 EndpointsREST

For Agents

Provision and manage Amazon HealthLake FHIR datastores and orchestrate FHIR import and export jobs for bulk movement of healthcare data into AWS.

Quickstart

Get started with Amazon HealthLake in minutes using your preferred integration method.

# Add to your MCP client config (Claude Desktop, Cursor, Windsurf)
{
  "jentic": {
    "url": "https://api.jentic.com/mcp",
    "auth": "oauth"
  }
}

# Then ask your agent:
"create an amazon healthlake fhir datastore"

# → Jentic returns the GET /events tool with parameter schema, agent executes.

Capabilities

What an agent can do with Amazon HealthLake API.

Create FHIR datastores configured for HIPAA-eligible workloads with optional SMART on FHIR support

Describe and list FHIR datastores filtered by status

Start FHIR import jobs that load bulk NDJSON data from S3 into a datastore

Start FHIR export jobs that write a datastore's resources to S3 in NDJSON

GET STARTED

Start building with Amazon HealthLake API

Explore with Jentic

View OpenAPI Spec

Use for: I need to create a new FHIR R4 datastore in HealthLake, Start a FHIR import job from an S3 bucket into a target datastore, Check the status of a recent FHIR export job, List all active FHIR datastores in this account

Not supported: Does not handle FHIR resource CRUD, clinical NLP, or appointment scheduling — use for HealthLake datastore provisioning and bulk import/export jobs only.

Jentic publishes the only available OpenAPI specification for Amazon HealthLake, keeping it validated and agent-ready.

Jentic publishes the only available OpenAPI specification for Amazon HealthLake, keeping it validated and agent-ready. Amazon HealthLake is a HIPAA-eligible service that stores, transforms, queries, and analyses FHIR-formatted health data in the cloud. The control-plane API manages FHIR datastores and the import and export jobs that move bulk FHIR resources in and out of those datastores. With 13 operations it is a focused control surface for provisioning HealthLake infrastructure and running data movement jobs.

Use Cases

Patterns agents use Amazon HealthLake API for, with concrete tasks.

★ FHIR Data Lake Provisioning

Stand up a HIPAA-eligible FHIR R4 datastore for clinical research or population-health analytics. CreateFHIRDatastore provisions storage and a FHIR endpoint, optionally attaching SMART on FHIR for OAuth-style access and a KMS key for encryption. Once provisioned, the datastore endpoint is a fully compliant FHIR REST API.

Call CreateFHIRDatastore with DatastoreTypeVersion=R4, DatastoreName=research-prod, and a SseConfiguration referencing a customer-managed KMS key

Bulk EHR Migration to HealthLake

Migrate millions of FHIR resources from a legacy EHR or staging bucket into HealthLake using StartFHIRImportJob. The import reads NDJSON files from S3, transforms them into the datastore, and writes results back to a configured output bucket. DescribeFHIRImportJob and ListFHIRImportJobs surface progress and failures during the migration.

Call StartFHIRImportJob with InputDataConfig pointing at s3://my-fhir-staging/patients/ and JobOutputDataConfig pointing at s3://my-fhir-output/

Periodic Export for Analytics

Export FHIR resources on a schedule for downstream analytics in a data warehouse or ML pipeline. StartFHIRExportJob writes NDJSON to S3, and DescribeFHIRExportJob reports completion. This decouples analytical workloads from the live FHIR endpoint while still providing point-in-time data extracts.

Call StartFHIRExportJob with the DatastoreId and OutputDataConfig pointing at s3://analytics-fhir/exports/2026-06/

AI Agent Healthcare Operations

Through Jentic, an AI agent can orchestrate HealthLake provisioning and data movement as part of a wider healthcare workflow — for example, creating a research datastore, starting an import, and emitting a notification once it completes. Jentic exposes the 13 control-plane operations as discoverable tools.

Search Jentic for 'start fhir import job', load the StartFHIRImportJob schema, and execute it for a specified datastore and S3 input path

Key Endpoints

13 endpoints — jentic publishes the only available openapi specification for amazon healthlake, keeping it validated and agent-ready.

METHOD

PATH

DESCRIPTION

POST

CreateFHIRDatastore — provision a new FHIR datastore

POST

DescribeFHIRDatastore — fetch datastore configuration and status

POST

ListFHIRDatastores — list datastores in the account

POST

StartFHIRImportJob — bulk-load FHIR data from S3

POST

StartFHIRExportJob — export FHIR data to S3

POST

DescribeFHIRImportJob — check status of an import job

POST

DescribeFHIRExportJob — check status of an export job

POST

DeleteFHIRDatastore — delete a datastore and its resources

POST

CreateFHIRDatastore — provision a new FHIR datastore

POST

DescribeFHIRDatastore — fetch datastore configuration and status

POST

ListFHIRDatastores — list datastores in the account

POST

StartFHIRImportJob — bulk-load FHIR data from S3

POST

StartFHIRExportJob — export FHIR data to S3

Why though Jentic?

Three things that make agents converge on Jentic-routed access.

Credential isolation

AWS access keys for HealthLake are stored encrypted in the Jentic vault. Given the sensitivity of healthcare workloads, this isolation is important — agents never see the raw keys.

Intent-based discovery

Agents search Jentic with intents like 'create fhir datastore' or 'start fhir import' and get back the matching HealthLake operation with its input schema.

Time to first call

Direct integration: 1-2 days to wire up the AWS SDK, IAM policies, and S3 import paths. Through Jentic: under an hour.

Related APIs

Alternatives and complements available in the Jentic catalogue.

Complementary

Amazon Comprehend

Comprehend Medical extracts clinical entities from unstructured notes that can be loaded into HealthLake

Use Comprehend Medical to convert free-text clinical notes into structured entities, then load them into HealthLake; HealthLake itself stores the structured FHIR result.

Complementary

Amazon SageMaker

Train and deploy ML models on FHIR data exported from HealthLake

Use SageMaker for training models on healthcare data; use HealthLake to store and version the underlying FHIR resources.

Complementary

AWS CloudTrail

Audit log of every HealthLake control-plane API call for compliance

Use CloudTrail to audit who created or deleted HealthLake datastores; HealthLake itself does not retain that activity history.

FAQs

Specific to using Amazon HealthLake API through Jentic.

Why is there no official OpenAPI spec for Amazon HealthLake?

AWS does not publish an OpenAPI specification. Jentic generates and maintains this spec so that AI agents and developers can call Amazon HealthLake via structured tooling. It is validated against the live API and kept up to date. Get started at https://app.jentic.com/sign-up.

What authentication does the Amazon HealthLake API use?

The control-plane API uses AWS Signature Version 4 (HMAC) request signing with an AWS access key ID and secret access key. The FHIR data-plane endpoint on a datastore uses SigV4 by default and optionally SMART on FHIR OAuth tokens.

Can I import bulk FHIR data with the Amazon HealthLake API?

Yes. Call StartFHIRImportJob with an InputDataConfig that points to S3 NDJSON files and a JobOutputDataConfig for results. Use DescribeFHIRImportJob to monitor progress and inspect failed resources.

What are the rate limits for the Amazon HealthLake API?

AWS applies per-account, per-region request quotas to HealthLake control-plane operations and these vary by call. Datastore creation has lower quotas than describe and list operations. Check AWS Service Quotas for current limits.

How do I create a HealthLake datastore through Jentic?

Search Jentic for 'create healthlake fhir datastore', load the CreateFHIRDatastore schema, and execute with DatastoreTypeVersion=R4, a DatastoreName, and an optional KMS SseConfiguration. The response includes the DatastoreEndpoint URL once status reaches ACTIVE.

Is Amazon HealthLake HIPAA-eligible?

Yes. HealthLake is a HIPAA-eligible service and customers can use it for protected health information under a Business Associate Addendum with AWS. Encryption at rest with KMS and TLS in transit is enforced by default.