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探索菲律宾医学生对医学教育中人工智能的态度和认知:一项混合方法研究。

Exploring Filipino Medical Students' Attitudes and Perceptions of Artificial Intelligence in Medical Education: A Mixed-Methods Study.

作者信息

Falcon Robbi Miguel G, Alcazar Renne Margaret U, Babaran Hannah G, Caragay Beatrice Dominique B, Corpuz Cheenie Ann A, Kho Maegan Victoria S, Perez Aleisha Claire N, Isip-Tan Iris Thiele C

机构信息

College of Medicine, University of the Philippines Manila, Manila, Metro Manila, 1006, Philippines.

Department of Medical Informatics Unit, College of Medicine, University of the Philippines Manila, Manila, Metro Manila, Philippines.

出版信息

MedEdPublish (2016). 2024 Nov 20;14:282. doi: 10.12688/mep.20590.1. eCollection 2024.


DOI:10.12688/mep.20590.1
PMID:40384805
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC12082071/
Abstract

BACKGROUND: Artificial intelligence (AI) is emerging as one of the most revolutionary technologies shaping the educational system utilized by this generation of learners globally. AI enables opportunities for innovative learning experiences, while helping teachers devise teaching strategies through automation and intelligent tutoring systems. The integration of AI into medical education has potential for advancing health management frameworks and elevating the quality of patient care. However, developing countries, including the Philippines, face issues on equitable AI use. Furthermore, medical educators struggle in learning AI which imposes a challenge in teaching its use. To address this, the current study aims to investigate the current perceptions of medical students on the role of AI in medical education and practice of medicine. METHODS: The study utilized a mixed-methods approach to quantitatively and qualitatively assess the current attitudes and perceptions of medicine students of AI. Quantitative assessment was done via survey and qualitative analysis via focus group discussion. Participants were composed of 20 medical students from the College of Medicine, University of the Philippines Manila. RESULTS: Analysis of the attitudes and perceptions of Filipino medical students on AI showed that participants had a baseline understanding and awareness, but lack opportunities in studying medicine and clinical practice. Majority of participants recognize the advantages in medical education but have reservations on its overall application in a clinical setting. CONCLUSIONS: The results of this investigation can direct future studies that aim to guide educators on the emerging role of AI in medical practice and the healthcare system, on its effect on physicians-in-training under contemporary medical educational practices. Findings from our study revealed key focal points which need to be sufficiently addressed in order to better equip medical students with knowledge, tools, and skills needed to utilize and integrate AI into their education and eventual practice as healthcare professionals.

摘要

背景:人工智能(AI)正成为塑造全球这一代学习者所使用的教育系统的最具革命性的技术之一。人工智能为创新学习体验提供了机会,同时通过自动化和智能辅导系统帮助教师设计教学策略。将人工智能整合到医学教育中具有推进健康管理框架和提高患者护理质量的潜力。然而,包括菲律宾在内的发展中国家在公平使用人工智能方面面临问题。此外,医学教育工作者在学习人工智能方面存在困难,这给教授其使用带来了挑战。为了解决这个问题,本研究旨在调查医学生目前对人工智能在医学教育和医学实践中的作用的看法。 方法:本研究采用混合方法,定量和定性地评估医学生对人工智能的当前态度和看法。定量评估通过调查进行,定性分析通过焦点小组讨论进行。参与者由来自菲律宾大学马尼拉医学院的20名医学生组成。 结果:对菲律宾医学生对人工智能的态度和看法的分析表明,参与者有基本的理解和认识,但在医学学习和临床实践中缺乏机会。大多数参与者认识到人工智能在医学教育中的优势,但对其在临床环境中的整体应用有所保留。 结论:这项调查的结果可以指导未来的研究,旨在指导教育工作者了解人工智能在医学实践和医疗保健系统中的新兴作用,以及它对当代医学教育实践下的实习医生的影响。我们研究的结果揭示了一些关键要点,为了更好地使医学生具备将人工智能应用和整合到他们的教育以及最终作为医疗保健专业人员的实践中所需的知识、工具和技能,这些要点需要得到充分解决。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5657/12082071/418f8efaf617/mep-14-22039-g0005.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5657/12082071/418f8efaf617/mep-14-22039-g0005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5657/12082071/18b61e7e3a75/mep-14-22039-g0000.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5657/12082071/0b666e476ab1/mep-14-22039-g0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5657/12082071/81bfcadd213b/mep-14-22039-g0002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5657/12082071/468992ad4758/mep-14-22039-g0003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5657/12082071/da40d2875dc4/mep-14-22039-g0004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5657/12082071/418f8efaf617/mep-14-22039-g0005.jpg

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本文引用的文献

[1]
Promises and Realities of Electronic Health Information System in the Philippines.

Acta Med Philipp. 2024-12-13

[2]
World Medical Association Declaration of Helsinki: Ethical Principles for Medical Research Involving Human Participants.

JAMA. 2025-1-7

[3]
Artificial intelligence in medical education - perception among medical students.

BMC Med Educ. 2024-7-27

[4]
Artificial intelligence and inequality: insights from the Philippines.

J Public Health (Oxf). 2024-8-25

[5]
A scoping review of artificial intelligence in medical education: BEME Guide No. 84.

Med Teach. 2024-4

[6]
Artificial Intelligence in Medicine: Cross-Sectional Study Among Medical Students on Application, Education, and Ethical Aspects.

JMIR Med Educ. 2024-1-5

[7]
Artificial Intelligence Revolutionizing the Field of Medical Education.

Cureus. 2023-11-28

[8]
Revolutionizing healthcare: the role of artificial intelligence in clinical practice.

BMC Med Educ. 2023-9-22

[9]
Artificial intelligence for healthcare and medical education: a systematic review.

Am J Transl Res. 2023-7-15

[10]
Designing and validating a research questionnaire - Part 1.

Perspect Clin Res. 2023

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