Accepted for/Published in: JMIR Dermatology
Date Submitted: Apr 24, 2023
Open Peer Review Period: Apr 24, 2023 - Jun 19, 2023
Date Accepted: Feb 22, 2024
(closed for review but you can still tweet)
Warning: This is an author submission that is not peer-reviewed or edited. Preprints - unless they show as "accepted" - should not be relied on to guide clinical practice or health-related behavior and should not be reported in news media as established information.
Potential utility of ChatGPT in responding to patient questions and creating patient resources
ABSTRACT
Chat Generated Pre-trained Transformer (‘ChatGPT’ (Open AI, San Francisco, USA) is an artificial intelligence-based free natural language processing model that generates complex responses to user-generated prompts. The advent of this tool comes at a time when physician burnout is at an all-time high, which is attributed at least in part to time spent outside of the patient encounter within the electronic medical record (documenting the encounter, responding to patient messages, etc). Although ChatGPT is not specifically designed to provide medical information, it can generate astoundingly accurate responses to patient’s questions about their medical conditions and can precipitously create educational patient resources, which require minor edits on the part of the health care provider to ensure accuracy. In this way, this assistive technology has the potential to not only enhance a physician’s efficiency and work-life-balance, but also enrich the patient-physician relationship, and ultimately improve patient outcomes.
Citation
Request queued. Please wait while the file is being generated. It may take some time.
Copyright
© The authors. All rights reserved. This is a privileged document currently under peer-review/community review (or an accepted/rejected manuscript). Authors have provided JMIR Publications with an exclusive license to publish this preprint on it's website for review and ahead-of-print citation purposes only. While the final peer-reviewed paper may be licensed under a cc-by license on publication, at this stage authors and publisher expressively prohibit redistribution of this draft paper other than for review purposes.