Q: What is Amazon HealthLake?
A: Amazon Healthlake is a HIPAA-eligible service that enables healthcare providers, health insurance, and pharmaceutical companies to store and transform their data into a consistent and queryable fashion, and further analyze this data in the cloud, at petabyte scale. Using the HealthLake APIs, healthcare organizations can easily copy health data, such as imaging medical reports or patient notes, from on-premises systems to a secure data lake in the cloud. Healthlake uses machine learning (ML) models to automatically understand and extract meaningful medical information from the raw data, such as medications, procedures, and diagnoses. Healthlake organizes and indexes all the information and structures it in the Fast Healthcare Interoperability Resources (FHIR) industry standard format to provide a complete view of each patient's medical history.
Q: How do I get started with Amazon HealthLake?
A: To start using the Amazon HealthLake preview, sign in to the AWS Management Console and navigate to “Amazon HealthLake” in the AI/ML category.
Q: Is Amazon HealthLake HIPAA eligible?
A: Amazon HealthLake is a HIPAA Eligible Service. You can find a list of AWS HIPAA Eligible Services here. For more information about AWS, U.S. Health Insurance Portability and Accountability Act of 1996 (HIPAA), and using AWS services to process, store, and transmit protected health information (PHI), see our HIPAA Compliance Overview
Q. In which AWS Regions is Amazon HealthLake available?
A: US East (N. Virginia)
Q: What is FHIR?
A: Fast Healthcare Interoperability Resources is a standard that describes data formats and elements and an application programming interface for exchanging structured electronic health data. The standard was created by the Health Level Seven International health-care standards organization. To learn more, see FHIR overview on the HL7 FHIR website.
Q: How do I convert my current data to FHIR?
A: If your source systems are not configured to transmit data in the FHIR format, use an AWS partner to convert legacy healthcare data formats into FHIR.
Q: How does Amazon HealthLake integrate with other AWS services?
A: Amazon HealthLake integrates with AWS analytics services, for example Amazon QuickSight to deploy interactive dashboards to analyze your population data. HealthLake also integrates with ML services like Amazon SageMaker for developers and data scientists to build, train and deploy a model from scratch or leverage pre-built models. Clinicians can view the results of these custom or pre-built models through dashboards available through a web or a mobile application.
Q: What security and privacy measures does Amazon HealthLake have in place?
A: Amazon HealthLake is a HIPAA-eligible service that meets rigorous security and access controls to ensure patients’ sensitive health data is protected and meets regulatory compliance. Customer data is encrypted in transit and at rest at all times. Customer data is stored in S3, DynamoDB, and the Amazon Elasticsearch Service (AES). S3 data has versioning enabled to protect data against accidental deletion and is encrypted using Customer-Managed Keys (CMK). The data in AES is also encrypted using Customer-Managed Keys (CMK) – in a single-tenant architecture – to provide an additional level of protection when data is accessed or searched so that the same key is not shared by multiple customers. Also, per FHIR specification, if a customer to delete a piece of data, it will be only be hidden from analysis and results; not deleted from the service, only versioned.
Q: Do I need a Business Associate Addendum (BAA) before I can use Amazon HealthLake?
A: Amazon HealthLake is a HIPAA eligible service and if you are storing Protected Health Information on AWS, you are required to have a BAA. You can quickly enter into a BAA online using the AWS Artifacts click through found here.
Q: Is this a free preview and what are the terms?
A: Yes, this is a no cost preview. Amazon HealthLake is provided as a ‘Preview Service’ as defined in the AWS Service Terms. Before using this Preview Service, please review the Previews terms found here. This Beta Service is further subject to the attached beta test terms “Terms,” and by using this Previews Service, you agree to be bound by the Terms.