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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...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Cureus
2023
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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. |
format | Online Article Text |
id | pubmed-10693924 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Cureus |
record_format | MEDLINE/PubMed |
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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