Evaluating the use of generative AI to improve the quality of discharge summaries

Researchers at Bond University are undertaking exciting research on the potential role of generative AI to assist junior doctors to create timely and accurate discharge summaries (Ethics Approval KL02349).  The research protocol has been approved and we are now recruiting medical practitioners to participate.  This includes junior doctors and specialist doctors.

The issues around timely, accurate, and effective discharge summaries have been long-standing and contribute to avoidable harms for patients during the transition of their care from tertiary to primary care.  Anything that might improve this process is urgently needed.  In addition, there is potential that it will free up precious clinical time for junior doctors to provide more face to face and collaborative time with colleagues and patients.  On busy hospital wards, up to 30 hours a week of junior doctor clinical time is spent writing discharge summaries - time that should be dedicated to patient care and team collaboration.

Outside of discharge summaries, the safe and effective use of AI in clinical practice is a challenge all doctors must grapple with - rapid, rigorous research on the strengths. Limitations, and risks of generative AI in healthcare is never more urgently needed than right now.  Your participation will see this project brought to fruition very quickly.

If you are interested in the study please follow this link to access the expression of interest form.  Attached is a copy of the study flyer with a link to the study information. Please feel free to share this project with your colleagues.