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医学生对数字化和人工智能的认知:一项混合方法研究。

Medical Students' Perceptions towards Digitization and Artificial Intelligence: A Mixed-Methods Study.

作者信息

Gillissen Adrian, Kochanek Tonja, Zupanic Michaela, Ehlers Jan

机构信息

Institute for Didactics and Educational Research in Health Care, Department of Medicine, Faculty of Health, Witten/Herdecke University, 58455 Witten, Germany.

Interprofessional and Collaborative Didactics, Department of Medicine, Faculty of Health, Witten/Herdecke University, 58455 Witten, Germany.

出版信息

Healthcare (Basel). 2022 Apr 13;10(4):723. doi: 10.3390/healthcare10040723.

Abstract

Digital technologies in health care, including artificial intelligence (AI) and robotics, constantly increase. The aim of this study was to explore attitudes of 2020 medical students’ generation towards various aspects of eHealth technologies with the focus on AI using an exploratory sequential mixed-method analysis. Data from semi-structured interviews with 28 students from five medical faculties were used to construct an online survey send to about 80,000 medical students in Germany. Most students expressed positive attitudes towards digital applications in medicine. Students with a problem-based curriculum (PBC) in contrast to those with a science-based curriculum (SBC) and male undergraduate students think that AI solutions result in better diagnosis than those from physicians (p < 0.001). Male undergraduate students had the most positive view of AI (p < 0.002). Around 38% of the students felt ill-prepared and could not answer AI-related questions because digitization in medicine and AI are not a formal part of the medical curriculum. AI rating regarding the usefulness in diagnostics differed significantly between groups. Higher emphasis in medical curriculum of digital solutions in patient care is postulated.

摘要

医疗保健领域的数字技术,包括人工智能(AI)和机器人技术,正在不断增加。本研究的目的是通过探索性序列混合方法分析,探讨2020年医学生这一代人对电子健康技术各个方面的态度,重点是人工智能。来自五个医学院的28名学生的半结构化访谈数据被用于构建一项在线调查,并发送给德国约80,000名医学生。大多数学生对医学中的数字应用表达了积极态度。与基于科学课程(SBC)的学生和男性本科生相比,采用基于问题课程(PBC)的学生认为人工智能解决方案比医生的诊断结果更好(p < 0.001)。男性本科生对人工智能的看法最为积极(p < 0.002)。约38%的学生觉得准备不足,无法回答与人工智能相关的问题,因为医学数字化和人工智能并非医学课程的正式组成部分。不同组之间关于人工智能在诊断方面有用性的评分存在显著差异。推测应在医学课程中更加强调数字解决方案在患者护理中的作用。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ffa0/9027704/85e815c62976/healthcare-10-00723-g001.jpg

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