AWS HealthScribe

Amazon Web Services Unveils Generative AI Clinical Assistant AWS HealthScribe

Amazon Web Services (AWS) has launched a generative AI-powered clinical assistant for healthcare providers called AWS HealthScribe. The new, HIPAA-compliant service employs AWS’ Bedrock large language model to generate clinical documentation from doctor-patient discussions and reduce the time and energy medical care providers spend on paperwork and record-keeping.

AWS HealthScribe

AWS HealthScribe is designed to automate the collection and transcription of patient conversations, notes taken by a doctor, health records, and other details. The service uses speech recognition, natural language processing, and the Amazon Bedrock LLM and can be embedded in existing clinical applications. The service aims to save doctors time spent on clinical documentation, allowing them to focus more on patient care. Clinical documentation is critical for compliance, reimbursements, and quality measures, but also a complex, time-consuming process for physicians. The AI-generated notes cite references back to the original doctor-patient conversation transcripts, providing transparency and accuracy.

“Our healthcare customers and partners tell us they want to spend more time creating innovative clinical care and research solutions for their patients while spending less time building, maintaining, and operating foundational health data capabilities,” AWS vice president of machine learning and AI services Bratin Saha said. “That is why AWS has invested in building a portfolio of AI-powered, high-performance, and population-scale health applications so that clinicians can spend more time with the patients during the face-to-face or telehealth visits. Documentation is a particularly time-consuming effort for healthcare professionals, which is why we are excited to leverage the power of generative AI in AWS HealthScribe and reduce that burden.”

Generative Health

AWS HealthScribe is joining the growing trend of integrating generative AI with healthcare, especially medical staff support. The Mayo Clinic recently began integrating Google’s Med-PaLM 2 LLM into its research hospital to help organize patient information and even assist in diagnosing medical conditions. The Clinic has also partnered with Google Cloud to employ its Enterprise Search. Microsoft subsidiary Nuance started incorporating OpenAI’s GPT-4 LLM into the Dragon Ambient Intelligence platform medical professionals use to transcribe patient interactions back in March. And the British National Health Service is pushing hospitals to adopt generative AI tools with $27 million in grants. That’s before even considering pharmaceutical research, with human trials of a drug conceived and developed using generative AI underway.


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