利用生成式人工智能提高职业治疗专业学生的实地工作准备水平。
Enhancing fieldwork readiness in occupational therapy students with generative AI.
作者信息
Mansour Tara, Wong John
机构信息
MGH Institute of Health Professions, Boston, MA, United States.
出版信息
Front Med (Lausanne). 2024 Oct 16;11:1485325. doi: 10.3389/fmed.2024.1485325. eCollection 2024.
The rapid integration of artificial intelligence (AI) into health professions education is revolutionizing traditional teaching methodologies and enhancing learning experiences. This study explores the use of generative AI to aid occupational therapy (OT) students in intervention planning. OT students often lack the background knowledge to generate a wide variety of interventions, spending excessive time on idea generation rather than clinical reasoning, practice skills, and patient care. AI can enhance creative ideation but students must still adhere to evidence-based practice, patient safety, and privacy standards. Students used ChatGPT v. 3.5 in a lecture and assignment to integrate generative AI into intervention planning. Students analyzed a case study, generated ideas with ChatGPT, selected interventions that aligned with the client's needs, and provided a rationale. They conducted evidence-based searches and wrote an analysis on how the research influenced their decisions. The results demonstrate generative AI's potential as a valuable tool for OT students, enhancing their comfort with AI and understanding of ethical and safety considerations. Qualitative feedback highlighted AI's role in boosting efficiency and creativity in intervention planning, with most students expressing strong intent to use ChatGPT in clinical practice due to its ability to reduce cognitive load and generate innovative ideas. These findings suggest that integrating generative AI into the OT curriculum could enhance intervention planning and improve clinical readiness.
人工智能(AI)迅速融入健康职业教育,正在革新传统教学方法并提升学习体验。本研究探讨了使用生成式AI辅助职业治疗(OT)专业学生进行干预计划制定。OT专业学生常常缺乏生成多种干预措施的背景知识,在构思想法上花费过多时间,而非进行临床推理、实践技能训练和患者护理。AI可以增强创造性构思,但学生仍必须遵循循证实践、患者安全和隐私标准。学生们在讲座和作业中使用ChatGPT v. 3.5将生成式AI融入干预计划制定中。学生们分析了一个案例研究,利用ChatGPT生成想法,选择符合客户需求的干预措施,并提供了理论依据。他们进行了循证检索,并撰写了一份关于该研究如何影响其决策的分析报告。结果表明,生成式AI对OT专业学生具有成为宝贵工具的潜力,增强了他们对AI的接受度以及对伦理和安全考量的理解。定性反馈突出了AI在提高干预计划制定效率和创造力方面的作用,大多数学生表示由于其能够减轻认知负担并产生创新想法,强烈打算在临床实践中使用ChatGPT。这些发现表明,将生成式AI融入OT课程可以改善干预计划制定并提高临床准备水平。
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