Introducing Amazon HealthLake to make sense of health data

Amazon HealthLake is a HIPAA-eligible service that enables healthcare providers, health insurance companies, and pharmaceutical companies to store, transform, query, and analyze health data at petabyte scale.

Health data is frequently incomplete and inconsistent, and is often unstructured, with information contained in clinical notes, laboratory reports, insurance claims, medical images, recorded conversations, and time series data (for example, heart ECG or brain EEG traces) across disparate formats and systems. Every health care provider, payer, and life sciences company is trying to solve the problem of structuring the data, because if you do, you can make better patient support decisions, design better clinical trials, and operate more efficiently.

Amazon HealthLake removes the heavy lifting of organizing, indexing, and structuring patient information, to provide a complete view of the health of individual patients and entire patient populations in a secure, compliant, and auditable manner. Using the HealthLake APIs, healthcare organizations can easily copy health data in the Fast Healthcare Interoperability Resources (FHIR) industry standard format from on-premises systems to a secure data lake in the cloud. HealthLake transforms unstructured data using specialized machine learning models, like natural language processing, to automatically extract meaningful medical information from the data and provides powerful query and search capabilities. Organizations can use advanced analytics and ML services, such as Amazon QuickSight and Amazon SageMaker to analyze and understand relationships, identify trends, and make predictions from the newly normalized and structured data. From early detection of disease to population health trends, organizations can use Amazon HealthLake to conduct clinical data analysis powered by machine learning to improve care and reduce costs.

Get started with Amazon HealthLake, now in preview. Visit the website to learn more or read the documentation.