AWS HealthLake features
Overview
Delivering enterprise-grade performance with sub-second latency and seamless scalability that enable you to securely build FHIR-based applications. AWS HealthLake combines a high-performance transactional FHIR server designed to support regulatory compliance requirements (e.g., CMS and ONC rules), integrated medical NLP, and zero-ETL FHIR-to-SQL capabilities that eliminate infrastructure complexity while accelerating healthcare innovation.
High Performance FHIR Datastore
Open allSeamlessly ingest health data at scale
Rapidly migrate FHIR R4 data from Amazon S3 to AWS HealthLake using high-throughput import APIs that support clinical notes, lab reports, insurance claims, and more. Perform real-time data ingestion using standard FHIR create/update APIs with enterprise-grade performance. For non-FHIR data, our AWS HealthLake Partners provide integrated ingestion capabilities for HL7v2, CDA, XML, CSV, EDI X12 etc into standardized FHIR resources.
Enterprise-grade FHIR repository with comprehensive security
Maintain healthcare data in a fully managed, HIPAA-eligible environment that ensures data integrity, security, and auditability. AWS HealthLake’s native multi-tenancy capabilities integrate with AWS security services to provide robust access controls, encryption, and comprehensive audit logging while eliminating infrastructure management overhead.
High-performance FHIR API infrastructure
Process thousands of concurrent FHIR API requests with sub-millisecond latency using AWS HealthLake’s regulatory-grade FHIR server. The service delivers comprehensive support for FHIR R4 v4.0.1, SMART on FHIR authorization (including SMART 2.0), and seamless integration with OAuth 2.0 & OpenID Connect. AWS HealthLake maintains strict compliance with ONC and CMS regulatory standards including upto US Core IG STU v7.0.0, HL7 SMART App Launch Framework IG v2.0.0, and FHIR Bulk Data Access v2.0.0—validated through the ONC Inferno test suite to support EHR certification requirements.
Comprehensive FHIR search capabilities
Execute sophisticated FHIR search operations with advanced filtering, sorting, and pagination to retrieve the clinical data needed for your applications. AWS supports complete CRUD operations (Create/Read/Update/Delete) with optimized query performance that maintains sub-millisecond latency even at enterprise scale.
FHIR Data for Analytics and AI
Open allExtract clinical text from unstructured data
Convert unstructured medical text from SOAP notes, discharge summaries, radiology reports, and clinical documentation into structured FHIR resources using built-in medical natural language processing. AWS HealthLake automatically identifies medical entities (procedures, medications, conditions), entity relationships, entity traits, and Protected Health Information from clinical documentation. The service maps extracted text to standard medical terminologies like ICD-10 in minutes rather than hours, creating structured data that provides optimized infrastructure for advanced analytics and AI workflows.
Zero-ETL data access at petabyte scale
Query AWS HealthLake data directly using SQL without complex data pipelines or exports. AWS HealthLake automatically transforms FHIR data into analytics-ready Parquet and Apache Iceberg formats, enabling customers to immediately analyze SQL-on-FHIR through standard interfaces. Seamlessly work with AWS analytics services including AWS Athena, Amazon Redshift Spectrum, Amazon EMR, and Amazon SageMaker to develop comprehensive analytics workflows, create population health dashboards with Amazon QuickSight, or build predictive models to optimize clinical workflows.