AWS Announces Amazon HealthLake

HealthLake enables you to store, transform, query, and analyze health data in the cloud, at petabyte scale. The service is powered by machine learning models trained to automatically understand and extract meaningful medical data from raw, disparate data.

Recently, AWS announced Amazon HealthLake, a new HIPAA-eligible service meant for healthcare providers, health insurance companies, and pharmaceutical companies.

Amazon HealthLake enables you to securely store, transform, query, analyze, and share health data in the cloud, at petabyte scale. The service uses machine learning models trained to automatically understand and extract meaningful medical data from raw, disparate data.

Amazon said that HealthLake revolutionizes a process that is traditionally manual, error-prone, and costly.  HealthLake comes integrated with services like Amazon QuickSight and Amazon SageMaker to help you visualize and understand relationships in the data, identify trends, and make predictions. Since it automatically structures all of a healthcare organization’s data into the FHIR industry format, the information can be easily and securely shared between health systems and with third-party applications. 

Source: AWS

Amazon said that with HealthLake it is demystifying a set of challenges for the healthcare and life sciences customers by removing the heavy lifting needed to tag, index, structure, and organize data, offering a complete view of each patient’s medical history in minutes, instead of weeks or months.

Other AWS services like QuickSight or SageMaker work seamlessly with HealthLake. You can create an interactive dashboard with QuickSight to observe population health trends, and zoom in on a smaller group of patients with a similar state to compare their treatments and health outcomes. Using SageMaker You can also build, train, and deploy your own ML models to track the progression of at-risk patients over the course of many years against a similar cohort of patients.