患者和医生对人工智能的满意度:一个大范围的审查
Timothy Hoff1, Aliya Kitsakos2, Jasmine Silva3
1D'Amore-McKim School of Business and School of Public Policy and Urban Affairs, Northeastern University, Boston, Massachusetts, and Green Templeton College, University of Oxford, Oxford, United Kingdom.
概括
患者和医生都对医疗保健中的人工智能 (AI) 敏感. 人工智能工具在患者护理中的满意度通常是中等到高,特别是在诊断应用中.
科学领域:
- 医疗保健技术评估 医疗保健技术评估
- 医疗信息学医学信息学
- 医疗服务研究 医疗服务研究
背景情况:
- 人工智能 (AI) 在医疗保健中的整合正在扩大.
- 了解患者和提供者对人工智能的满意度对于采用至关重要.
- 在临床环境中对AI满意度的现有研究需要综合.
研究的目的:
- 对患者和医生对人工智能在医疗保健中的满意度进行范围审查.
- 综合使用人工智能工具对用户感知和满意度水平的发现.
- 确定影响临床实践中对AI满意度的因素.
主要方法:
- 使用系统审查和元分析 (PRISMA) 准则的首选报告项目进行系统的文献搜索.
- 包括2003年至2023年间发表的研究.
- 从45个选定的文章中提取数据,使用标准化微软Excel表格.
主要成果:
- 该审查侧重于45项经验研究,主要关注患者对人工智能的满意度.
- 在57%的研究中报告了中等到高的AI满意度,总体满意度发现.
- 与治疗角色相比,在诊断角色中对AI的满意度更高.
结论:
- 医生和患者对将人工智能整合到患者护理中表现出接受性.
- 医疗保健机构应该在临床结果之外探索满意度驱动因素.
- 未来的研究应该检查上下文因素和各种AI应用.
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