The Role of A.I. Scribes in Modern Medicine

Writing a summary of a patient examination was once an essential task for physicians in making accurate diagnoses. Now, artificial intelligence is taking on this responsibility.

Helen Ouyang, a physician and associate professor, explores the impact of A.I. on clinical note-taking. Medical students traditionally learned to write clinical notes early in their education. This formative task involved capturing patient interactions in writing, including symptoms and potential diagnoses. It was a rite of passage, marking the transition into becoming a doctor.

As doctors progress from students to residents and full-fledged physicians, the time to write detailed notes becomes scarce. Instead of being a vital part of the job, note-writing can seem tedious. Removing this burden could, in theory, allow more focus on patient care.

At the hospital where Ouyang is an E.R. doctor, A.I. assistants now handle note-taking. These systems listen during consultations, generating polished notes afterward. She highlights the promise of A.I. to reduce burnout and improve efficiency. Medical start-ups have raised billions, with many U.S. health systems developing or using A.I. scribes. Some clinics report up to 80% adoption.

Adam Rodman, a professor at Harvard Medical School, describes A.I. as the fastest-adopted medical technology. A.I. scribes go beyond simple transcription. They synthesize conversation data into structured notes, benefiting patient care by saving time for doctors.