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ChatGPT: promise and challenges for deployment in low- and middle-income countries
In low- and middle-income countries (LMICs), the fields of medicine and public health grapple with numerous challenges that continue to hinder patients' access to healthcare services. ChatGPT, a publicly accessible chatbot, has emerged as a potential tool in aiding public health efforts in LMIC...
Autores principales: | , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10507635/ https://www.ncbi.nlm.nih.gov/pubmed/37731897 http://dx.doi.org/10.1016/j.lanwpc.2023.100905 |
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author | Wang, Xiaofei Sanders, Hayley M. Liu, Yuchen Seang, Kennarey Tran, Bach Xuan Atanasov, Atanas G. Qiu, Yue Tang, Shenglan Car, Josip Wang, Ya Xing Wong, Tien Yin Tham, Yih-Chung Chung, Kevin C. |
author_facet | Wang, Xiaofei Sanders, Hayley M. Liu, Yuchen Seang, Kennarey Tran, Bach Xuan Atanasov, Atanas G. Qiu, Yue Tang, Shenglan Car, Josip Wang, Ya Xing Wong, Tien Yin Tham, Yih-Chung Chung, Kevin C. |
author_sort | Wang, Xiaofei |
collection | PubMed |
description | In low- and middle-income countries (LMICs), the fields of medicine and public health grapple with numerous challenges that continue to hinder patients' access to healthcare services. ChatGPT, a publicly accessible chatbot, has emerged as a potential tool in aiding public health efforts in LMICs. This viewpoint details the potential benefits of employing ChatGPT in LMICs to improve medicine and public health encompassing a broad spectrum of domains ranging from health literacy, screening, triaging, remote healthcare support, mental health support, multilingual capabilities, healthcare communication and documentation, medical training and education, and support for healthcare professionals. Additionally, we also share potential concerns and limitations associated with the use of ChatGPT and provide a balanced discussion on the opportunities and challenges of using ChatGPT in LMICs. |
format | Online Article Text |
id | pubmed-10507635 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-105076352023-09-20 ChatGPT: promise and challenges for deployment in low- and middle-income countries Wang, Xiaofei Sanders, Hayley M. Liu, Yuchen Seang, Kennarey Tran, Bach Xuan Atanasov, Atanas G. Qiu, Yue Tang, Shenglan Car, Josip Wang, Ya Xing Wong, Tien Yin Tham, Yih-Chung Chung, Kevin C. Lancet Reg Health West Pac Viewpoint In low- and middle-income countries (LMICs), the fields of medicine and public health grapple with numerous challenges that continue to hinder patients' access to healthcare services. ChatGPT, a publicly accessible chatbot, has emerged as a potential tool in aiding public health efforts in LMICs. This viewpoint details the potential benefits of employing ChatGPT in LMICs to improve medicine and public health encompassing a broad spectrum of domains ranging from health literacy, screening, triaging, remote healthcare support, mental health support, multilingual capabilities, healthcare communication and documentation, medical training and education, and support for healthcare professionals. Additionally, we also share potential concerns and limitations associated with the use of ChatGPT and provide a balanced discussion on the opportunities and challenges of using ChatGPT in LMICs. Elsevier 2023-09-15 /pmc/articles/PMC10507635/ /pubmed/37731897 http://dx.doi.org/10.1016/j.lanwpc.2023.100905 Text en © 2023 The Author(s) https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Viewpoint Wang, Xiaofei Sanders, Hayley M. Liu, Yuchen Seang, Kennarey Tran, Bach Xuan Atanasov, Atanas G. Qiu, Yue Tang, Shenglan Car, Josip Wang, Ya Xing Wong, Tien Yin Tham, Yih-Chung Chung, Kevin C. ChatGPT: promise and challenges for deployment in low- and middle-income countries |
title | ChatGPT: promise and challenges for deployment in low- and middle-income countries |
title_full | ChatGPT: promise and challenges for deployment in low- and middle-income countries |
title_fullStr | ChatGPT: promise and challenges for deployment in low- and middle-income countries |
title_full_unstemmed | ChatGPT: promise and challenges for deployment in low- and middle-income countries |
title_short | ChatGPT: promise and challenges for deployment in low- and middle-income countries |
title_sort | chatgpt: promise and challenges for deployment in low- and middle-income countries |
topic | Viewpoint |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10507635/ https://www.ncbi.nlm.nih.gov/pubmed/37731897 http://dx.doi.org/10.1016/j.lanwpc.2023.100905 |
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