Assessing Artificial Intelligence–Generated Responses to Urology Patient In-Basket Messages

202420 citationsJournal Article

Authors

Michael A. Scott · Stanford University

Wade Muncey · Idaho Urologic Institute

Nicolas Seranio · Stanford University

Federico Belladelli · IRCCS Ospedale San Raffaele

Francesco Del Giudice · Policlinico Umberto I

Shufeng Li · Stanford University

Albert Ha ·

Abstract

ChatGPT generated acceptable responses to nearly 50% of patient messages with better performance for easy questions compared to difficult questions. Use of ChatGPT to help respond to patient messages can help to decrease the time burden for the care team and improve wellness. Artificial intelligence performance will likely continue to improve with advances in generative artificial intelligence technology.

Topics & Keywords

Artificial Intelligence in Healthcare and Education Digital Mental Health Interventions Mobile Health and mHealth Applications

UN Sustainable Development Goals

Quality Education

Publication Details

Published in: Urology Practice

Volume 11, Issue 5, pp. 793-798

DOI: 10.1097/upj.0000000000000637

Field-Weighted Citation Impact: 2.41