Developing Clinical Competence Through Case Presentations With Artificial Intelligence-Driven Simulation

Angel Anthamatten, Jo Ellen Holt, Mary Lauren Pfieffer
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Abstract

Nurse practitioner students must develop their proficiency in delivering high-quality oral case presentations. It is important to intentionally integrate instruction regarding this fundamental skill into curricula and ensure that learners attain a sufficient level of competence before they enter their clinical experiences. An artificial intelligence-driven virtual simulation was designed to enhance teaching of this skill using the S-Summarize history and physical examination findings, N-Narrow the differential, A-Analyze the differential, P-Probe the preceptor, P-Plan management, S-Select a case-related topic for self-directed learning (SNAPPS) approach. A customized report based on a rubric provided students with meaningful formative feedback regarding their ability to apply and communicate knowledge and demonstrate clinical reasoning. Quantitative and qualitative feedback was included. The experience was well-received overall; the most common student reaction was “helpful.”
通过人工智能驱动的模拟案例演示来发展临床能力
执业护士的学生必须提高他们的能力,提供高质量的口头病例报告。重要的是有意地将这一基本技能的教学纳入课程,并确保学习者在进入临床经验之前获得足够的能力水平。设计了一个人工智能驱动的虚拟仿真,通过s -总结病史和体检结果、n -缩小差异、a -分析差异、p -探索训导者、p -计划管理、s -选择案例相关主题进行自主学习(SNAPPS)方法来加强这一技能的教学。一份基于标题的定制报告为学生提供了关于他们应用和交流知识以及展示临床推理能力的有意义的形成性反馈。包括定量和定性反馈。总的来说,这种体验很受欢迎;学生们最普遍的反应是“有帮助”。
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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