Thursday, 9 February 2023

ChatGPT in Medical Education

ChatGPT in Medical Education

Google search - 'using chatGPT in medical education'

Kung, Tiffany & Cheatham, Morgan & Medinilla, Arielle & Sillos, Czarina & Leon, Lorie & Elepano, Camille & Madriaga, Marie & Aggabao, Rimel & Diaz-Candido, Giezel & Maningo, James & Tseng, Victor. (2022). Performance of ChatGPT on USMLE: Potential for AI-Assisted Medical Education Using Large Language Models. https://doi.org/10.1371/journal.pdig.0000198

Biswas S. (2023). ChatGPT and the Future of Medical Writing. Radiology, 223312. Advance online publication. https://doi.org/10.1148/radiol.223312

https://www.medicaleconomics.com/view/chatgpt-health-care-s-next-big-thing-

https://medicaldialogues.in/articles/can-chatgpt-write-health-and-medical-content-106367

https://www.deborahgutmanmd.com/blog/5-ways-to-use-chat-gpt-ai-for-medical-school


'At the end of the day we come back to the individual, who is the learner, and practitioner; who is trained, undergoes a training process, which is lifelong (both professional, and personal, as a lifelong, adaptable and adaptive learner, who ideally is trained formally and informally in the science of effective and efficient learning); who is certified and licensed to practice, and both maintains and regularly renews this license to practice (through rigorous evaluation and assessment, by both a formal recognized training organization— university, teaching hospital, training program; and both international and local licensing authority—professional association, e.g., fellowship and local license to practice). Continuous improvement and transformation of this lengthy longitudinal professional training and certification to practice path offers several, if not many opportunities to blend the “best use” of human guided training, feedback and coaching with technology tools and platforms (including AI, VR, AR, MR, robotics, simulation paradigms, and simulators, as well as pervasive or regularly sampled indicators and data of both performance and outcomes—with learning and performance analytics). We augment this with visibility, data, performance and outcome analysis and analytics of professional teams, and both localized and larger health systems and networks; in order to build a high functioning, high quality efficient and effective, safe clinical teams, and health systems, at local, regional, countrywide; and even at international levels. Why not? Blending the best of “human intelligence” and AI could potentially, can, and should allow us to scale best practices.'

above closing paragraph from

Goh, PS. (2021). 'The vision of transformation in medical education after the COVID-19 pandemic'. Korean J Med Educ. 33 (3): 171-174. Publication Date (Web): 2021 August 27

https://doi.org/10.3946/kjme.2021.197


https://telmeded.blogspot.com/2022/12/applied-generative-ai-eg-chatgpt.html


https://www.businesstimes.com.sg/opinion-features/chatgpt-has-artificial-intelligence-come-our-jobs