一个比较的图片研究:评估生成人工智能模型在提高护理临床决策方面的潜在作用
1Nursing Department, Steyer School of Health Professions, Faculty of Medical and Health Sciences, Tel Aviv University, Tel Aviv, Israel.
Journal of advanced nursing
|February 17, 2024
概括
与护士相比,像ChatGPT这样的生成人工智能 (AI) 工具在临床场景中表现出犹和过度选. 在实施人工智能作为护士数字助理时,建议谨慎.
科学领域:
- 护理信息学 护理信息学
- 医疗保健中的人工智能
- 临床决策支持系统 临床决策支持系统
背景情况:
- 生成型人工智能 (AI) 具有作为护士临床支持工具的潜力.
- 对人工智能的临床决策能力与人类专业知识进行评估对于安全实施至关重要.
研究的目的:
- 评估ChatGPT在模拟场景中的临床决策是否相当于专家护士和初学者护理学生的临床决策.
- 将ChatGPT与人类临床医生的准确性,测试的适当性和重新评估能力进行比较.
主要方法:
- 一项横截面研究,将ChatGPT对临床场景的反应与30名专家注册护士和38名初学者护理学生的反应进行比较.
- 临床决策是根据初始评估准确性,推的测试,资源利用和重新评估能力来评估的.
- 性能指标包括响应生成时间和字数.
主要成果:
- 在最初的评估中,ChatGPT表现出不确定性,并建议不必要的诊断测试.
- 人工智能在用新信息重新评估场景时表现出不准确的理解和不适当的修改.
- 聊天GPT的响应显著更长,但比人类临床医生更快地产生,保持逻辑结构和清晰度.
结论:
- 与人类临床判断相比,像ChatGPT这样的生成性AI工具表现出犹和过度选的倾向.
- 实施ChatGPT作为护士的数字助理需要谨慎,需要进一步的研究来优化AI以提供准确的医疗保健支持.
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