Security News > 2021 > July > Amazon HealthLake enables healthcare organizations to store, transform, and query health data in the cloud

Amazon Web Services announced the general availability of Amazon HealthLake, a HIPAA-eligible service for healthcare and life sciences organizations to ingest, store, query, and analyze their health data at scale.

Using Amazon HealthLake, organizations can easily move their FHIR-formatted health data from on-premises systems to a secure data lake in the cloud.

Customers who do not already have data in the FHIR format can work with AWS Connector Partners, such as Diameter Health, InterSystems, Redox, and HealthLX, who have built validated Amazon HealthLake connectors to transform existing healthcare data into FHIR format and move it to Amazon HealthLake.

"More and more of our customers in the healthcare and life sciences space are looking to organize and make sense of their reams of data, but are finding this process challenging and cumbersome," said Swami Sivasubramanian, Vice President of Amazon Machine Learning for AWS. "We built Amazon HealthLake to remove this heavy lifting for healthcare organizations so they can transform health data in the cloud in minutes and begin analyzing that information securely at scale. Alongside AWS for Health, we're excited about how Amazon HealthLake can help medical providers, health insurers, and pharmaceutical companies provide patients and populations with data-driven, personalized, and predictive care."

"Even while still in preview, Amazon HealthLake was an integral part of our COVID-19 response and our efforts to address health inequities. It has enabled us to quickly store disparate data from multiple data sources in FHIR format in order to gain critical insights in to the care of COVID-19 patients," said Dr. Bala Hota, Vice President and Chief Analytics Officer at Rush University Medical Center.

"In a matter of weeks rather than months, Amazon HealthLake empowered us to create a centralized platform that securely stores patients' medical history, medication history, behavioral assessments, and lab reports. This platform gives our clinical team deeper insight into the care progression of our patients. Using predefined notebooks in Amazon SageMaker with data from Amazon HealthLake, we can apply machine learning models to track and prognosticate each patient's progression toward their goals in ways not otherwise possible. Through this technology, we can also share HIPAA-compliant data with our patients, researchers, and healthcare partners in an interoperable manner, furthering important research into autism treatment."

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