痴呆症护理研究和心理社会因素
1Harvard Medical School, Belmont, MA, USA; McLean Hospital, Belmont, MA, USA.
Alzheimer's & dementia : the journal of the Alzheimer's Association
|December 24, 2025
概括
将人工智能 (AI) 整合到临床实践中需要个性化的方法. 根据个体患者需求和临床医生工作流程定制人工智能工具对于优化效益和确保在医疗保健环境中有效使用至关重要.
科学领域:
- 老年精神病学是一门精神病学专业.
- 临床信息学 临床信息学
- 医疗保健中的人工智能
背景情况:
- 人工智能 (AI) 工具的日益普及,需要仔细考虑临床整合.
- 在工作流效率,监管和道德实施方面的实际挑战需要结构化的框架.
- 麦克林医院技术与衰老实验室正在进行的研究报告了人工智能在患者护理中的最佳实践.
研究的目的:
- 为将基于人工智能的工具纳入临床实践提供一个框架.
- 解决开发高效工作流程和指导人工智能监管的实际挑战.
- 为了分享正在进行的老年精神病学AI研究的见解.
主要方法:
- 基于人工智能研究项目的后勤,技术,务实和道德考虑的框架的开发.
- 利用技术和老龄化实验室正在进行的研究数据.
- 在麦克林医院老年精神病学部门指导人工智能工具的实施.
主要成果:
- 关键考虑因素包括电子医疗记录的兼容性,减少临床医生数据处理时间,以及数据安全/所有权.
- 以患者为中心的因素包括将人工智能工具与现有的用户技术和熟练程度保持一致.
- 基本要素包括教育临床医生和患者优化人工智能工具的使用,考虑个体临床条件,资源和数字素养.
结论:
- 一种"适合所有人"的方法对于将AI整合到临床护理中是不理想的.
- 目前,对人工智能工具的个性化部署是必要的.
- 随着越来越多的证据和改进的可用性,人工智能工具可能成为护理的标准.
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