Securely store, transform, transact, and analyze health data in minutes

What is HealthLake?

AWS HealthLake is a HIPAA-eligible service offering healthcare companies a complete view of individual and patient population health data using FHIR (Fast Healthcare Interoperable Resources) API based transactions to securely store and transform their data into a queryable format at petabyte scale, and further analyze this data using machine learning (ML) models. Using the HealthLake FHIR-based APIs, healthcare organizations can easily import large volumes of health data, including medical reports or patient notes, from on-premises systems to a secure, compliant, and pay-as-you-go service in the cloud. HealthLake offers built-in natural language processing (NLP) models to help customers understand and extract meaningful medical information from a single copy of raw health data, such as medications, procedures, and diagnoses.

Benefits

Store clinical and claims data using interoperability standards

Store patient medical history from multiple data sources in the normalized common data model (FHIR-based) format and leverage FHIR APIs to build transactional applications and patient 360 views

Build highly scalable interoperability solutions to meet regulatory needs

Leverage HealthLake Patient Access APIs and Bulk FHIR APIs with built-in support for US CORE and CARIN BB profile validation to meet the 21st Century Cures Act for patient access and interoperability requirements

Automatic transformation of FHIR data to analytics format

Empower healthcare analysts to query HealthLake FHIR data using SQL through AWS Athena query engine and create metric tracking care gap dashboards

Apply analytics and ML on health data

Make predictions and identify trends with health data using Amazon SageMaker machine learning models and Amazon QuickSight analytics

How it works

AWS HealthLake is a HIPAA-eligible service that provides FHIR APIs that help healthcare and life sciences companies securely store, transform, transact, and analyze health data in minutes to give a chronological view at the patient and population-level.

Use cases

Accelerate healthcare interoperability

Support customer conformance with 21st Century Cures Act for patient access and interoperability requirements through a fully managed FHIR server.

Optimize clinical applications

Leverage FHIR APIs to build efficient transactional applications like Patient 360.

Improve care quality

Identify opportunities to close gaps in care delivery targeted interventions with a longitudinal view of the patient journey.

Manage population health

Analyze population health trends, predict outcomes, and manage costs with advanced analytics tools using AWS ML models.