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ChatGPT-3.5 System Usability Scale early assessment among Healthcare Workers: Horizons of adoption in medical practice.

作者信息

Aljamaan Fadi, Malki Khalid H, Alhasan Khalid, Jamal Amr, Altamimi Ibraheem, Khayat Afnan, Alhaboob Ali, Abdulmajeed Naif, Alshahrani Fatimah S, Saad Khaled, Al-Eyadhy Ayman, Al-Tawfiq Jaffar A, Temsah Mohamad-Hani

机构信息

College of Medicine, King Saud University, Riyadh 11362, Saudi Arabia.

Critical Care Department, College of Medicine, King Saud University, Riyadh 11362, Saudi Arabia.

出版信息

Heliyon. 2024 Apr 7;10(7):e28962. doi: 10.1016/j.heliyon.2024.e28962. eCollection 2024 Apr 15.


DOI:10.1016/j.heliyon.2024.e28962
PMID:38623218
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11016609/
Abstract

Artificial intelligence (AI) chatbots, such as ChatGPT, have widely invaded all domains of human life. They have the potential to transform healthcare future. However, their effective implementation hinges on healthcare workers' (HCWs) adoption and perceptions. This study aimed to evaluate HCWs usability of ChatGPT three months post-launch in Saudi Arabia using the System Usability Scale (SUS). A total of 194 HCWs participated in the survey. Forty-seven percent were satisfied with their usage, 57 % expressed moderate to high trust in its ability to generate medical decisions. 58 % expected ChatGPT would improve patients' outcomes, even though 84 % were optimistic of its potential to improve the future of healthcare practice. They expressed possible concerns like recommending harmful medical decisions and medicolegal implications. The overall mean SUS score was 64.52, equivalent to 50 % percentile rank, indicating high marginal acceptability of the system. The strongest positive predictors of high SUS scores were participants' belief in AI chatbot's benefits in medical research, self-rated familiarity with ChatGPT and self-rated computer skills proficiency. Participants' learnability and ease of use score correlated positively but weakly. On the other hand, medical students and interns had significantly high learnability scores compared to others, while ease of use scores correlated very strongly with participants' perception of positive impact of ChatGPT on the future of healthcare practice. Our findings highlight the HCWs' perceived marginal acceptance of ChatGPT at the current stage and their optimism of its potential in supporting them in future practice, especially in the research domain, in addition to humble ambition of its potential to improve patients' outcomes particularly in regard of medical decisions. On the other end, it underscores the need for ongoing efforts to build trust and address ethical and legal concerns of AI implications in healthcare. The study contributes to the growing body of literature on AI chatbots in healthcare, especially addressing its future improvement strategies and provides insights for policymakers and healthcare providers about the potential benefits and challenges of implementing them in their practice.

摘要
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/08e6/11016609/cbcd9f0e14b8/fx2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/08e6/11016609/fde1b6f1eda4/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/08e6/11016609/bcfd9ad95b06/gr2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/08e6/11016609/a1003cf3bce9/gr3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/08e6/11016609/6615c6357f63/fx1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/08e6/11016609/cbcd9f0e14b8/fx2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/08e6/11016609/fde1b6f1eda4/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/08e6/11016609/bcfd9ad95b06/gr2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/08e6/11016609/a1003cf3bce9/gr3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/08e6/11016609/6615c6357f63/fx1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/08e6/11016609/cbcd9f0e14b8/fx2.jpg

相似文献

[1]
ChatGPT-3.5 System Usability Scale early assessment among Healthcare Workers: Horizons of adoption in medical practice.

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[2]
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[3]
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引用本文的文献

[1]
Public knowledge of food poisoning, risk perception and food safety practices in Saudi Arabia: A cross-sectional survey following foodborne botulism outbreak.

Medicine (Baltimore). 2025-4-11

[2]
Perceptions and Earliest Experiences of Medical Students and Faculty With ChatGPT in Medical Education: Qualitative Study.

JMIR Med Educ. 2025-2-20

[3]
Strategic technological innovation through ChatMu: transforming information accessibility in Muhammadiyah.

Front Artif Intell. 2025-2-4

[4]
A mixed methods crossover randomized controlled trial exploring the experiences, perceptions, and usability of artificial intelligence (ChatGPT) in health sciences education.

Digit Health. 2024-12-5

[5]
OpenAI o1-Preview vs. ChatGPT in Healthcare: A New Frontier in Medical AI Reasoning.

Cureus. 2024-10-1

本文引用的文献

[1]
The Breakthrough of Large Language Models Release for Medical Applications: 1-Year Timeline and Perspectives.

J Med Syst. 2024-2-17

[2]
Generative Artificial Intelligence Terminology: A Primer for Clinicians and Medical Researchers.

Cureus. 2023-12-4

[3]
Healthcare's New Horizon With ChatGPT's Voice and Vision Capabilities: A Leap Beyond Text.

Cureus. 2023-10-22

[4]
ChatGPT Surpasses 1000 Publications on PubMed: Envisioning the Road Ahead.

Cureus. 2023-9-6

[5]
Assessing the Utility of ChatGPT Throughout the Entire Clinical Workflow: Development and Usability Study.

J Med Internet Res. 2023-8-22

[6]
Artificial Intelligence (AI) Chatbots in Medicine: A Supplement, Not a Substitute.

Cureus. 2023-6-25

[7]
ChatGPT and the Future of Digital Health: A Study on Healthcare Workers' Perceptions and Expectations.

Healthcare (Basel). 2023-6-21

[8]
Transforming Medical Education: Assessing the Integration of ChatGPT Into Faculty Workflows at a Caribbean Medical School.

Cureus. 2023-7-5

[9]
Exploring the Intersection of Artificial Intelligence and Clinical Healthcare: A Multidisciplinary Review.

Diagnostics (Basel). 2023-6-7

[10]
The ChatGPT (Generative Artificial Intelligence) Revolution Has Made Artificial Intelligence Approachable for Medical Professionals.

J Med Internet Res. 2023-6-22

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