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

AI chatbots ChatGPT artificial intelligence credibility healthcare workers medicolegal implications perception

Journal

Healthcare (Basel, Switzerland)
ISSN: 2227-9032
Titre abrégé: Healthcare (Basel)
Pays: Switzerland
ID NLM: 101666525

Informations de publication

Date de publication:
21 Jun 2023
Historique:
received: 25 04 2023
revised: 14 06 2023
accepted: 19 06 2023
medline: 14 7 2023
pubmed: 14 7 2023
entrez: 14 7 2023
Statut: epublish

Résumé

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.

Identifiants

pubmed: 37444647
pii: healthcare11131812
doi: 10.3390/healthcare11131812
pmc: PMC10340744
pii:
doi:

Types de publication

Journal Article

Langues

eng

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Auteurs

Mohamad-Hani Temsah (MH)

College of Medicine, King Saud University, Riyadh 11587, Saudi Arabia.
Pediatric Department, King Saud University Medical City, King Saud University, Riyadh 11411, Saudi Arabia.
Evidence-Based Health Care & Knowledge Translation Research Chair, King Saud University, Riyadh 11587, Saudi Arabia.

Fadi Aljamaan (F)

College of Medicine, King Saud University, Riyadh 11587, Saudi Arabia.
Critical Care Department, King Saud University Medical City, Riyadh 11411, Saudi Arabia.

Khalid H Malki (KH)

Research Chair of Voice, Swallowing, and Communication Disorders, ENT Department, College of Medicine, King Saud University, Riyadh 11587, Saudi Arabia.

Khalid Alhasan (K)

College of Medicine, King Saud University, Riyadh 11587, Saudi Arabia.
Pediatric Department, King Saud University Medical City, King Saud University, Riyadh 11411, Saudi Arabia.
Solid Organ Transplant Center of Excellence, King Faisal Specialist Hospital and Research Center, Riyadh 11564, Saudi Arabia.

Ibraheem Altamimi (I)

College of Medicine, King Saud University, Riyadh 11587, Saudi Arabia.

Razan Aljarbou (R)

Pediatric Department, King Saud University Medical City, King Saud University, Riyadh 11411, Saudi Arabia.

Faisal Bazuhair (F)

Pediatric Department, King Saud University Medical City, King Saud University, Riyadh 11411, Saudi Arabia.

Abdulmajeed Alsubaihin (A)

College of Medicine, King Saud University, Riyadh 11587, Saudi Arabia.
Pediatric Department, King Saud University Medical City, King Saud University, Riyadh 11411, Saudi Arabia.

Naif Abdulmajeed (N)

Pediatric Department, King Saud University Medical City, King Saud University, Riyadh 11411, Saudi Arabia.
Pediatric Nephrology Department, Prince Sultan Military Medical City, Riyadh 12233, Saudi Arabia.

Fatimah S Alshahrani (FS)

College of Medicine, King Saud University, Riyadh 11587, Saudi Arabia.
Division of Infectious Diseases, Department of Internal Medicine, College of Medicine, King Saud University, Riyadh 11451, Saudi Arabia.

Reem Temsah (R)

College of Pharmacy, Alfaisal University, Riyadh 11533, Saudi Arabia.

Turki Alshahrani (T)

Pediatric Department, King Saud University Medical City, King Saud University, Riyadh 11411, Saudi Arabia.

Lama Al-Eyadhy (L)

College of Medicine, King Saud University, Riyadh 11587, Saudi Arabia.

Serin Mohammed Alkhateeb (SM)

College of Medicine, Jordan University of Science and Technology, Irbid 22110, Jordan.

Basema Saddik (B)

Sharjah Institute of Medical Research, University of Sharjah, Sharjah 27272, United Arab Emirates.
Department of Community and Family Medicine, College of Medicine, University of Sharjah, Sharjah 27272, United Arab Emirates.
School of Population Health, Faculty of Medicine & Health, UNSW Sydney, Sydney, NSW 2052, Australia.

Rabih Halwani (R)

Sharjah Institute of Medical Research, University of Sharjah, Sharjah 27272, United Arab Emirates.
Department of Clinical Sciences, College of Medicine, University of Sharjah, Sharjah 27272, United Arab Emirates.

Amr Jamal (A)

College of Medicine, King Saud University, Riyadh 11587, Saudi Arabia.
Evidence-Based Health Care & Knowledge Translation Research Chair, King Saud University, Riyadh 11587, Saudi Arabia.
Department of Family and Community Medicine, King Saud University Medical City, Riyadh 11411, Saudi Arabia.

Jaffar A Al-Tawfiq (JA)

Specialty Internal Medicine and Quality Department, Johns Hopkins Aramco Healthcare, Dhahran 34465, Saudi Arabia.
Infectious Disease Division, Department of Medicine, Indiana University School of Medicine, Indianapolis, IN 46202, USA.
Infectious Disease Division, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD 21218, USA.

Ayman Al-Eyadhy (A)

College of Medicine, King Saud University, Riyadh 11587, Saudi Arabia.
Pediatric Department, King Saud University Medical City, King Saud University, Riyadh 11411, Saudi Arabia.

Classifications MeSH