Assessing ChatGPT's Capability as a New Age Standardized Patient: Qualitative Study.

IF 3.2 Q1 EDUCATION, SCIENTIFIC DISCIPLINES
Joseph Cross, Tarron Kayalackakom, Raymond E Robinson, Andrea Vaughans, Roopa Sebastian, Ricardo Hood, Courtney Lewis, Sumanth Devaraju, Prasanna Honnavar, Sheetal Naik, Jillwin Joseph, Nikhilesh Anand, Abdalla Mohammed, Asjah Johnson, Eliran Cohen, Teniola Adeniji, Aisling Nnenna Nnaji, Julia Elizabeth George
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引用次数: 0

Abstract

Background: Standardized patients (SPs) have been crucial in medical education, offering realistic patient interactions to students. Despite their benefits, SP training is resource-intensive and access can be limited. Advances in artificial intelligence (AI), particularly with large language models such as ChatGPT, present new opportunities for virtual SPs, potentially addressing these limitations.

Objectives: This study aims to assess medical students' perceptions and experiences of using ChatGPT as an SP and to evaluate ChatGPT's effectiveness in performing as a virtual SP in a medical school setting.

Methods: This qualitative study, approved by the American University of Antigua Institutional Review Board, involved 9 students (5 females and 4 males, aged 22-48 years) from the American University of Antigua College of Medicine. Students were observed during a live role-play, interacting with ChatGPT as an SP using a predetermined prompt. A structured 15-question survey was administered before and after the interaction. Thematic analysis was conducted on the transcribed and coded responses, with inductive category formation.

Results: Thematic analysis identified key themes preinteraction including technology limitations (eg, prompt engineering difficulties), learning efficacy (eg, potential for personalized learning and reduced interview stress), verisimilitude (eg, absence of visual cues), and trust (eg, concerns about AI accuracy). Postinteraction, students noted improvements in prompt engineering, some alignment issues (eg, limited responses on sensitive topics), maintained learning efficacy (eg, convenience and repetition), and continued verisimilitude challenges (eg, lack of empathy and nonverbal cues). No significant trust issues were reported postinteraction. Despite some limitations, students found ChatGPT as a valuable supplement to traditional SPs, enhancing practice flexibility and diagnostic skills.

Conclusions: ChatGPT can effectively augment traditional SPs in medical education, offering accessible, flexible practice opportunities. However, it cannot fully replace human SPs due to limitations in verisimilitude and prompt engineering challenges. Integrating prompt engineering into medical curricula and continuous advancements in AI are recommended to enhance the use of virtual SPs.

评估ChatGPT作为新时代标准化患者的能力:定性研究。
背景:标准化患者(SPs)在医学教育中至关重要,为学生提供现实的患者互动。尽管有这些好处,但SP培训是资源密集型的,而且机会有限。人工智能(AI)的进步,特别是像ChatGPT这样的大型语言模型,为虚拟服务提供商提供了新的机会,有可能解决这些限制。目的:本研究旨在评估医学生使用ChatGPT作为SP的感知和体验,并评估ChatGPT在医学院环境中作为虚拟SP的有效性。方法:本定性研究经安提瓜美国大学机构审查委员会批准,纳入安提瓜美国大学医学院9名学生(女5名,男4名,年龄22-48岁)。学生们在现场角色扮演中被观察到,作为SP使用预定的提示与ChatGPT互动。在互动前后进行了一项有15个问题的结构化调查。对转录和编码的回答进行主题分析,归纳分类。结果:主题分析确定了交互前的关键主题,包括技术限制(例如,提示工程困难)、学习效率(例如,个性化学习的潜力和减少面试压力)、真实感(例如,缺乏视觉线索)和信任(例如,对人工智能准确性的担忧)。互动后,学生注意到提示工程方面的改进,一些一致性问题(例如,对敏感话题的反应有限),保持学习效率(例如,方便和重复),以及持续的真实性挑战(例如,缺乏同理心和非语言提示)。交互后没有报告明显的信任问题。尽管有一些限制,学生们发现ChatGPT是传统sp的宝贵补充,提高了实践的灵活性和诊断技能。结论:ChatGPT能有效补充医学教育中的传统sp,提供方便、灵活的实习机会。然而,由于逼真度的限制和及时的工程挑战,它不能完全取代人类SPs。建议将即时工程整合到医学课程中,并在人工智能方面不断进步,以加强虚拟sp的使用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
JMIR Medical Education
JMIR Medical Education Social Sciences-Education
CiteScore
6.90
自引率
5.60%
发文量
54
审稿时长
8 weeks
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