Cover Image

Perceived Challenges of Artificial Intelligence in Healthcare among Undergraduate Medical Students at a Public Medical School in Sarawak, Malaysia

Introduction: As artificial intelligence (AI) becomes more integrated into healthcare, it also brings challenges. Understanding these perceived challenges among medical students is crucial for developing educational frameworks that prepare them to navigate these challenges...

Full description

Saved in:
Bibliographic Details
Main Authors: Chau Chung, Chai, Md Mizanur, Rahman, Karen Shendy, Sampson Sambong, Siti Nursyazwani, Azmi Murad, Hariz Hizami, Hatta, Chai Zi, Penny Chen
Format: Article
Language:English
Published: Faculty of Medicine, Universiti Kebangsaan Malaysia 2024
Subjects:
R Medicine (General)
Online Access:http://ir.unimas.my/id/eprint/47155/1/Perceived%20Challenges%20of%20Artificial%20Intelligence.pdf
http://ir.unimas.my/id/eprint/47155/
https://www.medicineandhealthukm.com/
https://doi.org/10.17576/MH.2024.s1909
Tags: Add Tag
No Tags, Be the first to tag this record!
id my.unimas.ir-47155
record_format eprints
spelling my.unimas.ir-471552024-12-31T07:59:05Z http://ir.unimas.my/id/eprint/47155/ Perceived Challenges of Artificial Intelligence in Healthcare among Undergraduate Medical Students at a Public Medical School in Sarawak, Malaysia Chau Chung, Chai Md Mizanur, Rahman Karen Shendy, Sampson Sambong Siti Nursyazwani, Azmi Murad Hariz Hizami, Hatta Chai Zi, Penny Chen R Medicine (General) Introduction: As artificial intelligence (AI) becomes more integrated into healthcare, it also brings challenges. Understanding these perceived challenges among medical students is crucial for developing educational frameworks that prepare them to navigate these challenges in clinical practice. However, the perceived challenges of AI in healthcare among medical students in Sarawak, Malaysia, remain underexplored. Aim/Purpose/Objective: This study aimed to assess the perceived challenges of AI in healthcare among undergraduate medical students at a public medical school in Sarawak, Malaysia. Method: A mixed-method cross-sectional survey was conducted from October 2023 to August 2024 among 185 undergraduate medical students from year one to year five at a public medical school in Sarawak. A convenience sampling method was employed. Data were collected using a validated questionnaire adapted from a previous Canadian study assessing medical students’ perceived challenges of AI in healthcare. Participants rated their agreement on a 5-point Likert scale. Quantitative responses were analysed descriptively while qualitative data from open-ended questions were thematically analysed Results: Most students expressed concerns about AI-related challenges: 73.0% (30.3% strongly agree, 42.7% agree) supported the statement that “AI in medicine will raise new ethical challenges” while 79.5% (30.3% strongly agree, 49.2% agree) supported that “AI in medicine will raise new social challenges.” Additionally, 73.5% (27.0% strongly agree, 46.5% agree) supported that “AI in medicine will raise new challenges around health equity.” In contrast, only 22.2% (6.5% strongly agree, 15.7% agree) supported that “The Malaysian healthcare system is currently well prepared to deal with challenges having to do with AI”. Qualitative thematic analysis highlighted key themes of “Ethical, privacy, and security issues” and “Trust and reliability concerns”. Conclusion: Most of the medical students in this study expressed concerns about challenges of AI in healthcare, especially in ethical, privacy and security challenges. Comprehensive AI training, including ethical guidelines, is needed to equip future healthcare professionals to address these challenges effectively. Keywords: Artificial intelligence; challenges; healthcare; medical students; medical education Faculty of Medicine, Universiti Kebangsaan Malaysia 2024-12 Article PeerReviewed text en http://ir.unimas.my/id/eprint/47155/1/Perceived%20Challenges%20of%20Artificial%20Intelligence.pdf Chau Chung, Chai and Md Mizanur, Rahman and Karen Shendy, Sampson Sambong and Siti Nursyazwani, Azmi Murad and Hariz Hizami, Hatta and Chai Zi, Penny Chen (2024) Perceived Challenges of Artificial Intelligence in Healthcare among Undergraduate Medical Students at a Public Medical School in Sarawak, Malaysia. Medicine & Health, 19 (9). p. 35. ISSN 2289-5728 https://www.medicineandhealthukm.com/ https://doi.org/10.17576/MH.2024.s1909
institution Universiti Malaysia Sarawak
building Centre for Academic Information Services (CAIS)
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Sarawak
content_source UNIMAS Institutional Repository
url_provider http://ir.unimas.my/
language English
topic R Medicine (General)
spellingShingle R Medicine (General)
Chau Chung, Chai
Md Mizanur, Rahman
Karen Shendy, Sampson Sambong
Siti Nursyazwani, Azmi Murad
Hariz Hizami, Hatta
Chai Zi, Penny Chen
Perceived Challenges of Artificial Intelligence in Healthcare among Undergraduate Medical Students at a Public Medical School in Sarawak, Malaysia
description Introduction: As artificial intelligence (AI) becomes more integrated into healthcare, it also brings challenges. Understanding these perceived challenges among medical students is crucial for developing educational frameworks that prepare them to navigate these challenges in clinical practice. However, the perceived challenges of AI in healthcare among medical students in Sarawak, Malaysia, remain underexplored. Aim/Purpose/Objective: This study aimed to assess the perceived challenges of AI in healthcare among undergraduate medical students at a public medical school in Sarawak, Malaysia. Method: A mixed-method cross-sectional survey was conducted from October 2023 to August 2024 among 185 undergraduate medical students from year one to year five at a public medical school in Sarawak. A convenience sampling method was employed. Data were collected using a validated questionnaire adapted from a previous Canadian study assessing medical students’ perceived challenges of AI in healthcare. Participants rated their agreement on a 5-point Likert scale. Quantitative responses were analysed descriptively while qualitative data from open-ended questions were thematically analysed Results: Most students expressed concerns about AI-related challenges: 73.0% (30.3% strongly agree, 42.7% agree) supported the statement that “AI in medicine will raise new ethical challenges” while 79.5% (30.3% strongly agree, 49.2% agree) supported that “AI in medicine will raise new social challenges.” Additionally, 73.5% (27.0% strongly agree, 46.5% agree) supported that “AI in medicine will raise new challenges around health equity.” In contrast, only 22.2% (6.5% strongly agree, 15.7% agree) supported that “The Malaysian healthcare system is currently well prepared to deal with challenges having to do with AI”. Qualitative thematic analysis highlighted key themes of “Ethical, privacy, and security issues” and “Trust and reliability concerns”. Conclusion: Most of the medical students in this study expressed concerns about challenges of AI in healthcare, especially in ethical, privacy and security challenges. Comprehensive AI training, including ethical guidelines, is needed to equip future healthcare professionals to address these challenges effectively. Keywords: Artificial intelligence; challenges; healthcare; medical students; medical education
format Article
author Chau Chung, Chai
Md Mizanur, Rahman
Karen Shendy, Sampson Sambong
Siti Nursyazwani, Azmi Murad
Hariz Hizami, Hatta
Chai Zi, Penny Chen
author_facet Chau Chung, Chai
Md Mizanur, Rahman
Karen Shendy, Sampson Sambong
Siti Nursyazwani, Azmi Murad
Hariz Hizami, Hatta
Chai Zi, Penny Chen
author_sort Chau Chung, Chai
title Perceived Challenges of Artificial Intelligence in Healthcare among Undergraduate Medical Students at a Public Medical School in Sarawak, Malaysia
title_short Perceived Challenges of Artificial Intelligence in Healthcare among Undergraduate Medical Students at a Public Medical School in Sarawak, Malaysia
title_full Perceived Challenges of Artificial Intelligence in Healthcare among Undergraduate Medical Students at a Public Medical School in Sarawak, Malaysia
title_fullStr Perceived Challenges of Artificial Intelligence in Healthcare among Undergraduate Medical Students at a Public Medical School in Sarawak, Malaysia
title_full_unstemmed Perceived Challenges of Artificial Intelligence in Healthcare among Undergraduate Medical Students at a Public Medical School in Sarawak, Malaysia
title_sort perceived challenges of artificial intelligence in healthcare among undergraduate medical students at a public medical school in sarawak, malaysia
publisher Faculty of Medicine, Universiti Kebangsaan Malaysia
publishDate 2024
url http://ir.unimas.my/id/eprint/47155/1/Perceived%20Challenges%20of%20Artificial%20Intelligence.pdf
http://ir.unimas.my/id/eprint/47155/
https://www.medicineandhealthukm.com/
https://doi.org/10.17576/MH.2024.s1909
_version_ 1821007915565187072
score 13.226497

Similar Items