Healthcare Org With Over 100 Clinics Uses OpenAI's GPT-4 To Write Medical Records
If a patient consents to having their meeting recorded and transcribed, the audio recording is passed to Amazon's AWS Transcribe Medical cloud service, which converts the speech to text. The transcript -- along with data from the patient's medical records, including recent test results -- is passed to an ML model that produces notes summarizing important information gathered in the consultation. The screenshot of an example medical chart below shows what type of text the software, nicknamed Carby, generates. The hypothetical patient's information and vital measurements are included, as well as a summaries of medical records and diagnoses.
Carbon Health CEO Eren Bali said the software is directly integrated into the firm's electronic health records (EHR) system, and is powered by OpenAI's latest language model, GPT-4. Carbon Health said the tool produces consultation summaries in four minutes, compared to the 16 consumed by a flesh and blood doctor working alone. Clinics can therefore see more patients [...] Generative AI models aren't perfect, and often produce errors. Physicians therefore need to verify the AI-generated text. Carbon Health claims 88 percent of the verbiage can be accepted without edits. Carbon Health said the model is already supporting over 130 clinics, where over 600 staff have access to the tool. A clinic testing the tool in San Francisco reportedly saw a 30 percent increase in the number of patients it could treat.
