AWS HealthScribe FAQs

AWS HealthScribe is a HIPAA-eligible service empowering healthcare software vendors to build clinical applications that automatically generate clinical notes by analyzing patient-clinician conversations. AWS HealthScribe combines speech recognition and generative artificial intelligence (AI) to help reduce the burden of clinical documentation by transcribing patient-clinician conversations and generating easier-to-review streamlined clinical notes.

Healthcare software vendors can integrate AWS HealthScribe in their applications, allowing clinicians and medical scribes to quickly review and edit preliminary clinical notes to finalize their documentation. AWS HealthScribe also extracts structured medical terms from transcripts that can be used to generate workflow suggestions in your application, improving the user experience and reducing the number of steps.

AWS HealthScribe analyzes patient-clinician conversation audio to: 1) transcribe the consultation, 2) identify speaker roles (for instance, clinician, patient), 3) segment the transcript (for instance, small talk, visit flow management, assessment, treatment plan), 4) extract medical terms (for instance, medication name, medical condition name), 5) summarize notes for key sections of the clinical document (for instance, history of present illness, treatment plan), and 6) create evidence mapping (linking every sentence in the AI-generated note with corresponding transcript dialogues). For more information, visit AWS HealthScribe features.

You can use Amazon Simple Storage Service (Amazon S3) to store both input (audio files) and output (transcription and notes text files) from AWS HealthScribe. AWS HealthScribe uses Amazon Bedrock’s large language model (LLM) capabilities as well as Amazon Comprehend Medical and Amazon Transcribe Medical to generate optimized clinical notes by understanding patient-clinician conversation.

AWS HealthScribe uses conversational and generative AI to transcribe patient-clinician conversations and generate clinical notes. The results produced by AWS HealthScribe are probabilistic and might not always be accurate due to various factors, including audio quality, background noise, speaker clarity, the complexity of medical terminology, and context-specific language nuances. AWS HealthScribe is designed to be used in an assistive role for clinicians and medical scribes, rather than as a substitute for their clinical expertise. As such, AWS HealthScribe output should not be employed to fully automate clinical documentation workflows, but rather to provide additional assistance to clinicians or medical scribes in their documentation process. Please ensure that your application provides the workflow for reviewing the clinical notes produced by AWS HealthScribe and establishes expectation of the need for human review before finalizing clinical notes.

Every AI-generated clinical note includes references to the original consultation transcript to make it easier for users to accurately validate clinical notes provided in your application. Providing these references along with the summary notes to clinicians or medical scribes helps foster trust and encourages safe use of AI in clinical settings.

Request access to AWS HealthScribe. Once allow-listed, you will receive a welcome email and instructions for using the service. 

AWS HealthScribe is available for English-US language in batch (asynchronous) mode.

AWS HealthScribe is available in the US East (N. Virginia) Region.

AWS HealthScribe is optimized for general medicine and the orthopedics specialty.