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ChatGPT's Potential in Enhancing Physician Efficiency: A Japanese Case Study

Artificial intelligence (AI), particularly ChatGPT, developed by OpenAI (San Francisco, CA, USA), is making significant strides in the medical field. In a simulated case study, a 66-year-old Japanese female patient's dialogue with a physician was transcribed and inputted into ChatGPT to assess...

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Autores principales: Kaneda, Yudai, Takita, Morihito, Hamaki, Tamae, Ozaki, Akihiko, Tanimoto, Tetsuya
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Cureus 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10693924/
https://www.ncbi.nlm.nih.gov/pubmed/38050503
http://dx.doi.org/10.7759/cureus.48235
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author Kaneda, Yudai
Takita, Morihito
Hamaki, Tamae
Ozaki, Akihiko
Tanimoto, Tetsuya
author_facet Kaneda, Yudai
Takita, Morihito
Hamaki, Tamae
Ozaki, Akihiko
Tanimoto, Tetsuya
author_sort Kaneda, Yudai
collection PubMed
description Artificial intelligence (AI), particularly ChatGPT, developed by OpenAI (San Francisco, CA, USA), is making significant strides in the medical field. In a simulated case study, a 66-year-old Japanese female patient's dialogue with a physician was transcribed and inputted into ChatGPT to assess its efficacy in drafting medical records, formulating differential diagnoses, and establishing treatment plans. The results showed a high similarity between the medical summaries generated by ChatGPT and those of the attending physician. This suggests that ChatGPT has the potential to assist physicians in clinical reasoning and reduce the administrative burden, allowing them to spend more time with patients. However, there are limitations, such as the system's reliance on linguistic data and occasional inaccuracies. Despite its potential, the ethical implications of using patient data and the risk of AI replacing clinicians emphasize the need for continuous evaluation, rigorous oversight, and the establishment of comprehensive guidelines. As AI continues to integrate into healthcare, it is crucial for physicians to ensure that technology complements, rather than replaces, human expertise, with the primary focus remaining on delivering high-quality patient care.
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spelling pubmed-106939242023-12-04 ChatGPT's Potential in Enhancing Physician Efficiency: A Japanese Case Study Kaneda, Yudai Takita, Morihito Hamaki, Tamae Ozaki, Akihiko Tanimoto, Tetsuya Cureus Other Artificial intelligence (AI), particularly ChatGPT, developed by OpenAI (San Francisco, CA, USA), is making significant strides in the medical field. In a simulated case study, a 66-year-old Japanese female patient's dialogue with a physician was transcribed and inputted into ChatGPT to assess its efficacy in drafting medical records, formulating differential diagnoses, and establishing treatment plans. The results showed a high similarity between the medical summaries generated by ChatGPT and those of the attending physician. This suggests that ChatGPT has the potential to assist physicians in clinical reasoning and reduce the administrative burden, allowing them to spend more time with patients. However, there are limitations, such as the system's reliance on linguistic data and occasional inaccuracies. Despite its potential, the ethical implications of using patient data and the risk of AI replacing clinicians emphasize the need for continuous evaluation, rigorous oversight, and the establishment of comprehensive guidelines. As AI continues to integrate into healthcare, it is crucial for physicians to ensure that technology complements, rather than replaces, human expertise, with the primary focus remaining on delivering high-quality patient care. Cureus 2023-11-03 /pmc/articles/PMC10693924/ /pubmed/38050503 http://dx.doi.org/10.7759/cureus.48235 Text en Copyright © 2023, Kaneda et al. https://creativecommons.org/licenses/by/3.0/This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Other
Kaneda, Yudai
Takita, Morihito
Hamaki, Tamae
Ozaki, Akihiko
Tanimoto, Tetsuya
ChatGPT's Potential in Enhancing Physician Efficiency: A Japanese Case Study
title ChatGPT's Potential in Enhancing Physician Efficiency: A Japanese Case Study
title_full ChatGPT's Potential in Enhancing Physician Efficiency: A Japanese Case Study
title_fullStr ChatGPT's Potential in Enhancing Physician Efficiency: A Japanese Case Study
title_full_unstemmed ChatGPT's Potential in Enhancing Physician Efficiency: A Japanese Case Study
title_short ChatGPT's Potential in Enhancing Physician Efficiency: A Japanese Case Study
title_sort chatgpt's potential in enhancing physician efficiency: a japanese case study
topic Other
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10693924/
https://www.ncbi.nlm.nih.gov/pubmed/38050503
http://dx.doi.org/10.7759/cureus.48235
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