HealthLake

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What is it?

Quickly deploy a low-code, HIPAA-compliant data lake for no-code exploratory data analysis.

AWS HealthLake enables healthcare and life sciences organizations to securely store, transform, and query health data at scale. Using HealthLake APIs, you can ingest data from on-premises systems into a secure cloud data lake and analyze it at petabyte scale.

HealthLake leverages machine learning to extract and interpret key medical information—such as medications, procedures, and diagnoses—and organizes it in the FHIR (Fast Healthcare Interoperability Resources) standard format, providing a comprehensive view of each patient’s medical history.

Agentclab’s data engineering experts will implement a HIPAA-compliant data lake and guide your team to perform exploratory data analysis (EDA). You’ll learn to efficiently ingest health data and leverage the FHIR REST API to access, transform, and analyze data in a meaningful and structured way.

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Key Activities

Discovery and Planning

Conduct a HealthLake enablement workshop and discovery session to review your data lake foundation and exploration requirements. Capture needs for data import, access patterns, and governance.

Design & Implementation

Design, deploy, and configure AWS HealthLake based on your requirements. Set up a FHIR data store, enable secure data storage and user access, organize and tag data, and transform it using structured formatting and NLP extraction.

Enablement

Run an EDA lab to provide hands-on experience with CRUD and search operations via API, SQL queries in Athena, and data analysis using QuickSight, Amazon Transcribe, and Amazon Comprehend.

Engagement Details

Deploy FHIR APIs to build interoperable applications that comply with ONC and CMS patient access requirements.

Gain hands-on experience with medical audio transcription using Amazon Transcribe Medical and interpret clinical notes with Amazon Comprehend Medical.

Enable ML model development with Amazon SageMaker AI for predicting chronic or acute conditions and building ML-powered cognitive search applications.

AWS HealthLake educational workshop and requirements documentation.

Architecture diagrams of HealthLake and data workflow designs.

HealthLake deployed in your environment with data ingested into a FHIR data store.

EDA enablement lab for exploring and analyzing medical data.

All engagement materials, including diagrams, documentation, source code, scripts, templates, and related artifacts.

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