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ChatGPT and the Future of Digital Health: A Study on Healthcare Workers’ Perceptions and Expectations

This study aimed to assess the knowledge, attitudes, and intended practices of healthcare workers (HCWs) in Saudi Arabia towards ChatGPT, an artificial intelligence (AI) Chatbot, within the first three months after its launch. We also aimed to identify potential barriers to AI Chatbot adoption among...

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Autores principales: Temsah, Mohamad-Hani, Aljamaan, Fadi, Malki, Khalid H., Alhasan, Khalid, Altamimi, Ibraheem, Aljarbou, Razan, Bazuhair, Faisal, Alsubaihin, Abdulmajeed, Abdulmajeed, Naif, Alshahrani, Fatimah S., Temsah, Reem, Alshahrani, Turki, Al-Eyadhy, Lama, Alkhateeb, Serin Mohammed, Saddik, Basema, Halwani, Rabih, Jamal, Amr, Al-Tawfiq, Jaffar A., Al-Eyadhy, Ayman
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10340744/
https://www.ncbi.nlm.nih.gov/pubmed/37444647
http://dx.doi.org/10.3390/healthcare11131812
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author Temsah, Mohamad-Hani
Aljamaan, Fadi
Malki, Khalid H.
Alhasan, Khalid
Altamimi, Ibraheem
Aljarbou, Razan
Bazuhair, Faisal
Alsubaihin, Abdulmajeed
Abdulmajeed, Naif
Alshahrani, Fatimah S.
Temsah, Reem
Alshahrani, Turki
Al-Eyadhy, Lama
Alkhateeb, Serin Mohammed
Saddik, Basema
Halwani, Rabih
Jamal, Amr
Al-Tawfiq, Jaffar A.
Al-Eyadhy, Ayman
author_facet Temsah, Mohamad-Hani
Aljamaan, Fadi
Malki, Khalid H.
Alhasan, Khalid
Altamimi, Ibraheem
Aljarbou, Razan
Bazuhair, Faisal
Alsubaihin, Abdulmajeed
Abdulmajeed, Naif
Alshahrani, Fatimah S.
Temsah, Reem
Alshahrani, Turki
Al-Eyadhy, Lama
Alkhateeb, Serin Mohammed
Saddik, Basema
Halwani, Rabih
Jamal, Amr
Al-Tawfiq, Jaffar A.
Al-Eyadhy, Ayman
author_sort Temsah, Mohamad-Hani
collection PubMed
description This study aimed to assess the knowledge, attitudes, and intended practices of healthcare workers (HCWs) in Saudi Arabia towards ChatGPT, an artificial intelligence (AI) Chatbot, within the first three months after its launch. We also aimed to identify potential barriers to AI Chatbot adoption among healthcare professionals. A cross-sectional survey was conducted among 1057 HCWs in Saudi Arabia, distributed electronically via social media channels from 21 February to 6 March 2023. The survey evaluated HCWs’ familiarity with ChatGPT-3.5, their satisfaction, intended future use, and perceived usefulness in healthcare practice. Of the respondents, 18.4% had used ChatGPT for healthcare purposes, while 84.1% of non-users expressed interest in utilizing AI Chatbots in the future. Most participants (75.1%) were comfortable with incorporating ChatGPT into their healthcare practice. HCWs perceived the Chatbot to be useful in various aspects of healthcare, such as medical decision-making (39.5%), patient and family support (44.7%), medical literature appraisal (48.5%), and medical research assistance (65.9%). A majority (76.7%) believed ChatGPT could positively impact the future of healthcare systems. Nevertheless, concerns about credibility and the source of information provided by AI Chatbots (46.9%) were identified as the main barriers. Although HCWs recognize ChatGPT as a valuable addition to digital health in the early stages of adoption, addressing concerns regarding accuracy, reliability, and medicolegal implications is crucial. Therefore, due to their unreliability, the current forms of ChatGPT and other Chatbots should not be used for diagnostic or treatment purposes without human expert oversight. Ensuring the trustworthiness and dependability of AI Chatbots is essential for successful implementation in healthcare settings. Future research should focus on evaluating the clinical outcomes of ChatGPT and benchmarking its performance against other AI Chatbots.
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spelling pubmed-103407442023-07-14 ChatGPT and the Future of Digital Health: A Study on Healthcare Workers’ Perceptions and Expectations Temsah, Mohamad-Hani Aljamaan, Fadi Malki, Khalid H. Alhasan, Khalid Altamimi, Ibraheem Aljarbou, Razan Bazuhair, Faisal Alsubaihin, Abdulmajeed Abdulmajeed, Naif Alshahrani, Fatimah S. Temsah, Reem Alshahrani, Turki Al-Eyadhy, Lama Alkhateeb, Serin Mohammed Saddik, Basema Halwani, Rabih Jamal, Amr Al-Tawfiq, Jaffar A. Al-Eyadhy, Ayman Healthcare (Basel) Article This study aimed to assess the knowledge, attitudes, and intended practices of healthcare workers (HCWs) in Saudi Arabia towards ChatGPT, an artificial intelligence (AI) Chatbot, within the first three months after its launch. We also aimed to identify potential barriers to AI Chatbot adoption among healthcare professionals. A cross-sectional survey was conducted among 1057 HCWs in Saudi Arabia, distributed electronically via social media channels from 21 February to 6 March 2023. The survey evaluated HCWs’ familiarity with ChatGPT-3.5, their satisfaction, intended future use, and perceived usefulness in healthcare practice. Of the respondents, 18.4% had used ChatGPT for healthcare purposes, while 84.1% of non-users expressed interest in utilizing AI Chatbots in the future. Most participants (75.1%) were comfortable with incorporating ChatGPT into their healthcare practice. HCWs perceived the Chatbot to be useful in various aspects of healthcare, such as medical decision-making (39.5%), patient and family support (44.7%), medical literature appraisal (48.5%), and medical research assistance (65.9%). A majority (76.7%) believed ChatGPT could positively impact the future of healthcare systems. Nevertheless, concerns about credibility and the source of information provided by AI Chatbots (46.9%) were identified as the main barriers. Although HCWs recognize ChatGPT as a valuable addition to digital health in the early stages of adoption, addressing concerns regarding accuracy, reliability, and medicolegal implications is crucial. Therefore, due to their unreliability, the current forms of ChatGPT and other Chatbots should not be used for diagnostic or treatment purposes without human expert oversight. Ensuring the trustworthiness and dependability of AI Chatbots is essential for successful implementation in healthcare settings. Future research should focus on evaluating the clinical outcomes of ChatGPT and benchmarking its performance against other AI Chatbots. MDPI 2023-06-21 /pmc/articles/PMC10340744/ /pubmed/37444647 http://dx.doi.org/10.3390/healthcare11131812 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Temsah, Mohamad-Hani
Aljamaan, Fadi
Malki, Khalid H.
Alhasan, Khalid
Altamimi, Ibraheem
Aljarbou, Razan
Bazuhair, Faisal
Alsubaihin, Abdulmajeed
Abdulmajeed, Naif
Alshahrani, Fatimah S.
Temsah, Reem
Alshahrani, Turki
Al-Eyadhy, Lama
Alkhateeb, Serin Mohammed
Saddik, Basema
Halwani, Rabih
Jamal, Amr
Al-Tawfiq, Jaffar A.
Al-Eyadhy, Ayman
ChatGPT and the Future of Digital Health: A Study on Healthcare Workers’ Perceptions and Expectations
title ChatGPT and the Future of Digital Health: A Study on Healthcare Workers’ Perceptions and Expectations
title_full ChatGPT and the Future of Digital Health: A Study on Healthcare Workers’ Perceptions and Expectations
title_fullStr ChatGPT and the Future of Digital Health: A Study on Healthcare Workers’ Perceptions and Expectations
title_full_unstemmed ChatGPT and the Future of Digital Health: A Study on Healthcare Workers’ Perceptions and Expectations
title_short ChatGPT and the Future of Digital Health: A Study on Healthcare Workers’ Perceptions and Expectations
title_sort chatgpt and the future of digital health: a study on healthcare workers’ perceptions and expectations
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10340744/
https://www.ncbi.nlm.nih.gov/pubmed/37444647
http://dx.doi.org/10.3390/healthcare11131812
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