弥合手术同意的识字差距:一个人工智能-人类专家协作方法
Rohaid Ali1,2, Ian D Connolly3, Oliver Y Tang4
1Department of Neurosurgery, Rhode Island Hospital and The Warren Alpert Medical School of Brown University, Providence, RI, USA. ali.rohaid@gmail.com.
NPJ digital medicine
|March 8, 2024
概括
这项研究使用了GPT-4来简化外科手术同意表,提高了8年级水平的可读性. 人工智能-人类专家方法确保了临床和法律上的适当性,提高了患者的理解力.
科学领域:
- 医疗信息学 医疗信息学
- 卫生识字 卫生识字
- 医疗保健中的人工智能
背景情况:
- 知情同意至关重要,但在医疗保健同意表格中,复杂的语言往往会阻碍知情同意.
- 低健康素养对患者理解医疗信息构成重大障碍.
研究的目的:
- 调查GPT-4在简化外科手术同意表格方面的有效性.
- 引入和验证人工智能-人类专家协作方法,以同意形式的内容适当性.
- 评估GPT-4在生成新的,程序特定的同意表格方面的能力.
主要方法:
- 来自15个学术医疗中心的可读性评估和GPT-4简化同意表格.
- 使用非参数测试对简化前后可读性指标进行比较.
- 医学作者,医疗不当律师和次专业外科医生的独立专家审查;使用标准化标签对新形式的评估.
主要成果:
- GPT-4简化显著减少了阅读时间,单词稀有性和被动句子 (P <0.05).
- 可读性从大学新生提高到八年级水平 (P = 0.004),与美国平均识字水平保持一致.
- 人工智能生成的表格符合临床和法律标准,达到完美的标题分数和专家批准.
结论:
- 人工智能与人类专家的合作有效地提高了手术同意表的可读性,而不会影响临床细节.
- 该框架提供了一个可扩展的解决方案,用于改进患者沟通材料和解决健康素养差异.
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