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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...
Autores principales: | , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
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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. |
format | Online Article Text |
id | pubmed-10340744 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
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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