Physicians Preferred AI Discharge Summaries in 95% of Cases in Stony Brook Study

Physician reviewers preferred AI-generated discharge summaries over their human-authored counterparts in 95% of the hospitalizations evaluated in a Stony Brook University study. The retrospective analysis focused on 60 Internal Medicine admissions lasting seven to 21 days, where extended treatment and large volumes of clinical notes make the handoff to outpatient care especially demanding. The findings, published in npj Digital Medicine, suggest that large language models could help clinicians produce more complete and usable discharge documents.

They also show why human verification remains essential: both AI-generated and human-authored summaries contained errors, and higher ratings did not establish better patient outcomes. A discharge summary connects care delivered in a hospital with the clinicians responsible for what happens afterward. It needs to explain the reason for admission, the course of treatment, medication changes, unresolved problems, and the follow-up plan.

For a primary care physician, a missing explanation or unclear next step can mean reconstructing the hospitalization from a much larger record. Longer admissions compound that problem. Information accumulates across progress notes, consultations, imaging reports, and other documentation, often with repetition and changes in…