What You Should Know:
- Amazon Web Services, Inc. (AWS) launches AWS HealthScribe, a new HIPAA-eligible service that empowers healthcare software providers to build clinical applications that use speech recognition and generative AI to save clinicians time by generating clinical documentation.
- With AWS HealthScribe, healthcare software providers can use a single API to automatically create robust transcripts, extract key details (e.g., medical terms and medications), and create summaries from doctor-patient discussions that can then be entered into an electronic health record (EHR) system.
- 3M Health Information Systems, Babylon Health, and ScribeEMR are among customers and partners using AWS HealthScribe
How AWS HealthScribe Works
Powered by Amazon Bedrock, AWS HealthScribe makes it faster and easier for healthcare software providers to integrate generative AI capabilities into their application starting with two popular specialties (i.e., general medicine and orthopedics), without needing to manage the underlying machine learning (ML) infrastructure or train their own healthcare-specific large language models (LLMs). AWS HealthScribe enables responsible deployment of AI systems by citing the source of every line of generated text from within the original conversation transcript, making it easier for physicians to review clinical notes before entering them into the EHR. Built with security and privacy in mind, AWS HealthScribe gives customers control over where their data is stored, encrypts data in transit and at rest, and does not use inputs or outputs generated through the service to train its models.
AWS HealthScribe EHR Inntegration Benefits
By integrating AWS HealthScribe into a clinical application, healthcare providers can leverage built-in text-to-speech capabilities to create robust conversation transcripts that identify speaker roles and segment transcripts into categories (e.g., small talk, subjective comments, or objective comments) based on clinical relevance. The application can then use AWS HealthScribe’s NLP and generative AI capabilities to extract structured medical terms, such as medical conditions and medications, and generate discussion-based notes that include relevant details (e.g., key takeaways, reason for visit, and history of the present illness) that a clinician can review and finalize in their EHR. With generative AI capabilities powered by Amazon Bedrock, AWS HealthScribe is designed to create clinical notes for two medical specialties (i.e., general medicine and orthopedics) allowing physicians to focus on their discussions with patients rather than capturing details to enter into the EHR.
Every sentence used in the AI-generated clinical notes comes with references to the original doctor-patient conversation transcripts, allowing clinicians to easily view the historical context of notes for greater accuracy and transparency. Data security and privacy are also built into the service–the service does not retain any customer data after processing the customer request and encrypts customer data in transit and at rest. Healthcare software providers have control over where they want to store transcriptions and preliminary clinical notes, maintaining ownership of their content. Additionally, the inputs and outputs generated through the service will not be used to train AWS HealthScribe.
AWS HealthScribe Strategic Partners
AWS HealthScribe strategic partners include:
- 3M Health Information Systems (HIS): an industry leader whose various M*Modal speech understanding, conversational, and ambient AI solutions are currently used by more than 300,000 clinicians.
- Babylon: integrated digital-first primary care service that manages population health at scale.
- ScribeEMR: provider of virtual medical scribing, virtual medical coding, and virtual medical office services for hundreds of medical practices, hospitals, and health systems.
AWS HealthImaging Launch
AWS today also announced the general availability of AWS HealthImaging, a service that makes it easier to store, transform, and analyze medical imaging data at a petabyte scale—delivering performance while reducing the burden of provisioning underlying infrastructure.
