医学客观结构化临床考试中的人工智能：思考与未来发展
Artificial Intelligence in Medical OSCEs: Reflections and Future Developments.
作者信息
Soong Tse Kiat, Ho Cheng-Maw
机构信息
Department of Surgery, National Taiwan University Hospital and College of Medicine, Taipei, Taiwan.
Yong Loo Lin School of Medicine, National University of Singapore, Singapore.
出版信息
Adv Med Educ Pract. 2021 Feb 18;12:167-173. doi: 10.2147/AMEP.S287926. eCollection 2021.
Abstract
With the advent of the age of Artificial Intelligence (AI), we seek to consider how AI could shape clinical examinations, specifically Objective Structured Clinical Examinations (OSCEs). OSCEs, whilst having its own limitations, could be further enhanced with new technologies like AI to help better assess and prepare our future clinicians. With the everchanging requirements on the modern clinician, we deliberate the strengths and weaknesses of AI, and the need for emphasis on different skills to complement rather than resist the tides of change. In conclusion, we feel that AI has the potential to be a strong driving force in remodelling OSCEs to support future doctors and could serve as a new frontier in medical education and beyond. That being said, we recognize the technology and its applications are still in its infancy, and further study will be needed to eluciate the role of AI in medical education and in the greater landscape of medical practice.
摘要
随着人工智能（AI）时代的到来，我们试图思考AI如何塑造临床考试，特别是客观结构化临床考试（OSCEs）。OSCEs虽然有其自身的局限性，但可以借助AI等新技术进一步提升，以帮助更好地评估和培养我们未来的临床医生。鉴于对现代临床医生的要求不断变化，我们探讨了AI的优势与劣势，以及强调不同技能以顺应而非抗拒变革潮流的必要性。总之，我们认为AI有潜力成为重塑OSCEs以支持未来医生的强大驱动力，并可成为医学教育及其他领域的新前沿。话虽如此，我们认识到该技术及其应用仍处于起步阶段，需要进一步研究以阐明AI在医学教育及更广泛的医疗实践中的作用。
相似文献
1
Artificial Intelligence in Medical OSCEs: Reflections and Future Developments.医学客观结构化临床考试中的人工智能：思考与未来发展
Adv Med Educ Pract. 2021 Feb 18;12:167-173. doi: 10.2147/AMEP.S287926. eCollection 2021.
2
Applications and Challenges of Implementing Artificial Intelligence in Medical Education: Integrative Review.人工智能在医学教育中的应用与挑战：综合综述
JMIR Med Educ. 2019 Jun 15;5(1):e13930. doi: 10.2196/13930.
3
Artificial Intelligence in Radiotherapy: A Philosophical Perspective.放射治疗中的人工智能：哲学视角
J Med Imaging Radiat Sci. 2019 Dec;50(4 Suppl 2):S27-S31. doi: 10.1016/j.jmir.2019.09.003. Epub 2019 Oct 4.
4
Differences in Knowledge and Perspectives on the Usage of Artificial Intelligence Among Doctors and Medical Students of a Developing Country: A Cross-Sectional Study.发展中国家医生与医学生对人工智能使用的知识和观点差异：一项横断面研究
Cureus. 2022 Jan 19;14(1):e21434. doi: 10.7759/cureus.21434. eCollection 2022 Jan.
5
Implementation of objective structured clinical examinations (OSCEs) in a doctor of pharmacy program.在药学博士项目中实施客观结构化临床考试（OSCEs）。
Curr Pharm Teach Learn. 2019 Aug;11(8):832-837. doi: 10.1016/j.cptl.2019.04.011. Epub 2019 Apr 26.
6
Situational awareness within objective structured clinical examination stations in undergraduate medical training - a literature search.在本科医学培训中的客观结构化临床考试站中的情境意识——文献检索。
BMC Med Educ. 2017 Dec 21;17(1):262. doi: 10.1186/s12909-017-1105-y.
7
Artificial Intelligence in Gastrointestinal Endoscopy.人工智能在胃肠内镜检查中的应用
Clin Endosc. 2020 Mar;53(2):132-141. doi: 10.5946/ce.2020.038. Epub 2020 Mar 30.
8
Medical students' attitude towards artificial intelligence: a multicentre survey.医学生对人工智能的态度：一项多中心调查。
Eur Radiol. 2019 Apr;29(4):1640-1646. doi: 10.1007/s00330-018-5601-1. Epub 2018 Jul 6.
9
Students' perceptions of a near-peer Objective Structured Clinical Examination (OSCE) in medical imaging.学生对医学影像学中近邻客观结构化临床考试（OSCE）的看法。
Radiography (Lond). 2020 Feb;26(1):42-48. doi: 10.1016/j.radi.2019.06.009. Epub 2019 Jul 23.
10
OSCEs are outdated: clinical skills assessment should be centred around workplace-based assessments (WPBAS) to put the 'art' back into medicine.客观结构化临床考试已经过时：临床技能评估应以基于工作场所的评估（WPBAS）为中心，将“艺术”重新带回医学领域。
MedEdPublish (2016). 2017 Oct 23;6:189. doi: 10.15694/mep.2017.000189. eCollection 2017.
引用本文的文献
1
Is AI the future of evaluation in medical education?? AI vs. human evaluation in objective structured clinical examination.人工智能会是医学教育评估的未来吗？？客观结构化临床考试中的人工智能与人工评估
BMC Med Educ. 2025 May 1;25(1):641. doi: 10.1186/s12909-025-07241-4.
2
Assessing ChatGPT 4.0's Capabilities in the United Kingdom Medical Licensing Examination (UKMLA): A Robust Categorical Analysis.评估ChatGPT 4.0在英国医学执照考试（UKMLA）中的能力：一项全面的分类分析。
Sci Rep. 2025 Apr 15;15(1):13031. doi: 10.1038/s41598-025-97327-2.
3
Perspectives on enhancing clinical informatics education in the artificial intelligence era.人工智能时代提升临床信息学教育的视角
J Clin Inform. 2024;1(1). Epub 2024 Dec 4.
4
Impact of artificial intelligence on the academic performance and test anxiety of pharmacy students in objective structured clinical examination: a randomized controlled trial.人工智能对药学生在客观结构化临床考试中学术表现和考试焦虑的影响：一项随机对照试验
Int J Clin Pharm. 2025 Aug;47(4):1034-1041. doi: 10.1007/s11096-025-01876-5. Epub 2025 Feb 4.
5
Artificial intelligence and pain medicine education: Benefits and pitfalls for the medical trainee.人工智能与疼痛医学教育：医学实习生面临的益处与陷阱
Pain Pract. 2025 Jan;25(1):e13428. doi: 10.1111/papr.13428. Epub 2024 Nov 26.
6
Cost management analysis of Objective Structured Clinical Examination (OSCE): guide to the universities of medical sciences.客观结构化临床考试（OSCE）的成本管理分析：医学科学大学指南。
BMC Med Educ. 2024 Oct 31;24(1):1241. doi: 10.1186/s12909-024-06264-7.
7
Artificial Intelligence and Objective Structured Clinical Examinations: Using ChatGPT to Revolutionize Clinical Skills Assessment in Medical Education.人工智能与客观结构化临床考试：利用ChatGPT革新医学教育中的临床技能评估
J Med Educ Curric Dev. 2024 Jul 25;11:23821205241263475. doi: 10.1177/23821205241263475. eCollection 2024 Jan-Dec.
8
Artificial intelligence, ChatGPT, and dental education: Implications for reflective assignments and qualitative research.人工智能、ChatGPT与牙科教育：对反思性作业和定性研究的影响
J Dent Educ. 2024 Dec;88(12):1671-1680. doi: 10.1002/jdd.13663. Epub 2024 Jul 7.
9
Enhancing clinical skills in pediatric trainees: a comparative study of ChatGPT-assisted and traditional teaching methods.提高儿科实习医生的临床技能：ChatGPT 辅助教学与传统教学方法的比较研究。
BMC Med Educ. 2024 May 22;24(1):558. doi: 10.1186/s12909-024-05565-1.
10
Evaluating the performance of ChatGPT-4 on the United Kingdom Medical Licensing Assessment.评估ChatGPT-4在英国医学执照评估中的表现。
Front Med (Lausanne). 2023 Sep 19;10:1240915. doi: 10.3389/fmed.2023.1240915. eCollection 2023.
本文引用的文献
1
Implications of artificial intelligence for medical education.人工智能对医学教育的影响。
Lancet Digit Health. 2020 Mar;2(3):e111-e112. doi: 10.1016/S2589-7500(20)30023-6.
2
Harnessing insights from an activity system - OSCEs past and present expanding future assessments.利用活动系统的见解——过去和现在的客观结构化临床考试，拓展未来的评估。
Med Teach. 2021 Jan;43(1):44-49. doi: 10.1080/0142159X.2020.1795100. Epub 2020 Jul 31.
3
Artificial Intelligence and Human Trust in Healthcare: Focus on Clinicians.医疗保健中的人工智能与人类信任：聚焦临床医生
J Med Internet Res. 2020 Jun 19;22(6):e15154. doi: 10.2196/15154.
4
Introducing Artificial Intelligence Training in Medical Education.医学教育中引入人工智能培训。
JMIR Med Educ. 2019 Dec 3;5(2):e16048. doi: 10.2196/16048.
5
Virtual reality and the transformation of medical education.虚拟现实与医学教育的变革。
Future Healthc J. 2019 Oct;6(3):181-185. doi: 10.7861/fhj.2019-0036.
6
Exploring healthcare professionals' understanding and experiences of artificial intelligence technology use in the delivery of healthcare: An integrative review.探索医疗保健专业人员在医疗保健提供中使用人工智能技术的理解和经验：综合述评。
Health Informatics J. 2020 Jun;26(2):1225-1236. doi: 10.1177/1460458219874641. Epub 2019 Sep 30.
7
Use of Artificial Intelligence to Represent Emergent Systems and Augment Surgical Decision-making.利用人工智能呈现紧急系统并增强手术决策
JAMA Surg. 2019 Sep 1;154(9):791-792. doi: 10.1001/jamasurg.2019.1510.
8
Preserving the human touch in medicine in a digital age.在数字时代保持医学中的人文关怀。
CMAJ. 2019 Jun 3;191(22):E622-E623. doi: 10.1503/cmaj.109-5757.
9
Artificial intelligence in medical education.人工智能在医学教育中的应用。
Med Teach. 2019 Sep;41(9):976-980. doi: 10.1080/0142159X.2019.1595557. Epub 2019 Apr 21.
10
Machine Learning in Medicine.医学中的机器学习
N Engl J Med. 2019 Apr 4;380(14):1347-1358. doi: 10.1056/NEJMra1814259.
Zotero 插件