用生成性人工智能 (GenAI) 参与患者和临床医生:对以患者为中心的沟通影响的范围审查
Jessica Hahne1, Brian D Carpenter1
1Department of Psychological & Brain Sciences, Washington University in St. Louis, St. Louis, USA.
Patient education and counseling
|January 22, 2026
概括
医疗保健中的生成人工智能 (GenAI) 可能会提高临床医生的效率和患者信息获取. 然而,仔细评估至关重要,以确保GenAI支持,而不是阻碍以患者为中心的沟通,并解决公平问题.
科学领域:
- 医疗保健通讯 医疗保健通讯
- 人工智能在医学中的应用
- 以患者为中心的护理
背景情况:
- 产生性人工智能 (GenAI) 在电子健康记录和公共卫生信息获取方面的新兴应用.
- 越来越需要了解GenAI对医疗保健沟通质量的影响.
研究的目的:
- 检查生成人工智能 (GenAI) 如何影响医疗保健中以患者为中心的沟通.
- 评估将GenAI整合到电子健康记录和公共卫生信息中的影响.
主要方法:
- 来自PubMed和PsycInfo的同行评审研究的范围审查.
- 在临床沟通中对GenAI进行实证研究的系统搜索.
- 将发现映射到以患者为中心的沟通框架中.
主要成果:
- 基因人工智能集成显示了提高临床医生的效率和患者信息获取的潜力.
- 基因人工智能可能会增强同情心,但也可能会降低护理的人文方面的风险.
- 确定的担忧包括GenAI信息的变化,临床医生的角色转换以及公平性/隐私问题.
结论:
- 严格检查GenAI是必不可少的,因为它的医疗保健流行率越来越大.
- 开发和实施必须优先考虑以患者为中心的沟通效益,同时减轻风险.
- 需要进一步的研究,以患者为中心的沟通框架为指导,以优化医疗保健中的GenAI.
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