在慢性疾病管理中使用人工智能代理的促进者和障碍:对老年COPD患者进行理论引导的定性研究
Shiya Cui1, Shilei Wang1, Jingyi Deng1,2
1Research Office of Chronic Disease Management and Rehabilitation, Department of Nursing, Wuxi School of Medicine, Jiangnan University, No. 1800 Lihu Avenue, Wuxi 214122, China.
Healthcare (Basel, Switzerland)
|January 28, 2026
概括
这项研究探讨了慢性阻塞性肺病 (COPD) 的老年患者如何使用人工智能药物来治疗疾病. 关键促进者包括感知到的好处和支持,而障碍则涉及信任问题和技术焦虑.
科学领域:
- 数字健康数字健康
- 医疗保健中的人工智能
- 慢性疾病管理 慢性疾病管理
背景情况:
- 老年人的慢性阻塞性肺病 (COPD) 管理面临着独特的挑战.
- 人工智能 (AI) 代理商为改善疾病管理提供了潜在的解决方案.
- 了解用户的观点对于有效的AI实施至关重要.
研究的目的:
- 探索使用人工智能剂用于老年COPD患者疾病管理的促进者和障碍.
- 确定影响人工智能健康技术的采用和持续使用的因素.
主要方法:
- 使用半结构面试进行的描述性定性研究.
- 采访了28名COPD老年患者.
- 这项研究以规范化过程理论为指导.
主要成果:
- 促进者包括对人工智能技术的认可,政策支持,家庭氛围,医疗保健提供者的建议,感知到的好处以及改善医生与患者的沟通.
- 障碍包括隐私问题,信任不足,责任不清楚,技术焦虑,缺乏动机,额外的负担,环境限制和沟通丧.
结论:
- 确定了影响老年COPD患者使用AI剂的关键因素.
- 结果为提高AI在慢性疾病管理中的实施和可持续使用提供了见解.
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