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Bioavailability studies are essential for evaluating a drug's therapeutic efficacy and understanding its absorption patterns under various physiological conditions. Conducting such studies on target patient populations provides more relevant data by simulating real-world disease states. However, practical challenges often necessitate the use of young, healthy adult volunteers as study subjects.Patients may exhibit altered drug absorption patterns due to the effects of the disease itself,...
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基于网络的AI驱动的虚拟患者模拟器与基于演员的模拟器用于教学咨询技能:多中心随机交叉研究

Edward G Tyrrell1, Sardip K Sandhu1, Kathryn Berry2

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科学领域:

  • 医疗教育 技术 技术 医学教育
  • 医疗保健中的人工智能
  • 沟通技巧培训 培训 沟通技巧培训

背景情况:

  • 全球医疗保健需求需要到2030年增加培训能力.
  • 有效的沟通对于患者的安全和护理质量至关重要.
  • 在沟通培训中,人工智能驱动的虚拟患者模拟器的证据有限.

研究的目的:

  • 将人工智能驱动的虚拟患者模拟器与医学学生的传统基于演员的模拟器进行比较.
  • 评估自我评价的沟通技巧,学生满意度和成本方面的差异.
  • 评估人工智能的潜力,以提高医疗保健专业人员的培训.

主要方法:

  • 一项开放式随机交叉研究比较了人工智能驱动的沟通技能培训 (AI-CST) 与基于演员的咨询技能培训 (AB-CST).
  • 来自两个英国机构的本科医学学生参加了比赛.
  • 干预前后调查测量了自我报告的沟通技巧和满意度;进行了成本分析.

主要成果:

  • AI-CST和AB-CST都显著改善了自我报告的沟通技巧 (P<.001).
  • 基于演员的模拟导致技能获得的更大增长 (平均差异为0.36,P=.04).
  • 学生对AB-CST的满意度更高 (9.21比8.09,P<.001),但AI-CST的价格显著降低 (每名学生33.48英比61.75英).

结论:

  • 人工智能驱动和基于演员的模拟都提高了沟通技巧,基于演员的方法显示出略高的结果.
  • AI-CST为可扩展的培训提供了一个更具成本效益的替代方案.
  • AI-CST有望在成本效益上提高医疗保健专业人员培训能力.