时间标签：数据日期 2026-10-31 · 生成时间 2026-11-01 05:30（Asia/Shanghai）｜ 检索窗口 PubMed edat 2026/10/28–2026/10/31 ｜ 情报发生日期 2026-10-31
研究问题
These implementation challenges suggest that understanding organizational value realization requires theoretical frameworks capable of explaining how system characteristics, user experiences, and organizational outcomes are connected throughout the value realization process.；However, these frameworks were largely developed when information systems functioned primarily as passive information-processing tools.；Human–AI collaboration quality instead concerns whether interaction with AI enables users to understand AI-generated outputs, retain appropriate professional judgment, receive support responsive to their needs and context, and interact with the system under appropriate safeguards (, , , , ).
方法
In the participant-facing Chinese questionnaire, the term 「智慧科技系統」 (“smart technology systems”) was used to represent AI-enabled DHTs.；At questionnaire commencement, participants were provided with a visual illustration defining the scope of these technologies, encompassing electronic health records, health-monitoring devices, data-driven decision analysis and recommendations, anomaly-detection and alert systems, and integrated smart-care management platforms (; original Chinese version in , p. 2).；The AI-specific context was further reinforced in the human–AI collaboration quality section of the questionnaire, which explicitly addressed users’ interaction and collaborative relationship with AI systems (, p. 8).；Eligibility criteria were: (1) age 20–75 years; (2) current employment in an LTC organization; (3) at least 6 months of experience using AI-enabled DHTs as operationally defined
核心结论
Most participants held a university degree (45.1%), followed by junior college qualifications (23.4%) and a high school education or below (20.2%); 11.3% had a master's degree.；Care assistants constituted the largest group (57.6%), followed by nurses (14.8%), managerial staff (e.g., supervisors, directors, or operations leads; 13.6%), social workers (3.9%), professional staff with concurrent managerial roles (5.0%), and other roles (5.1%).；Regarding system use, information quality (β = 0.249, p = .002) and human–AI collaboration quality (β = 0.196, p = .023) were positively associated with use. ‖ 结论：Together, these findings advance current understanding of organizational value realization from AI-enabled DHTs and provide a foundation for supporting more effective and sustainable long-term care in aging societies.
局限
However, alternative explanations, including conceptual overlap among quality constructs and the possibility of reverse or reciprocal relationships, cannot be excluded given the cross-sectional design.；This unexpected finding should therefore be interpreted cautiously and warrants further investigation using longitudinal designs.；Given the greater methodological complexity and statistical demands associated with moderation analysis, these findings should be interpreted with appropriate caution and further examined in larger samples.
对本项目的价值
★☆☆☆☆ 代谢轴既干预敏感性最高，也是老药新用供给最充足的来源。设计 cross-sectional。
全文来源
PMC JATS 全文（正文 52,326 字符，已过标题/DOI 逐字归属校验）
原文题录
- 英文标题：Organizational value realization from AI-enabled digital health technologies in long-term care: roles of human-AI collaboration and digital literacy.
- 期刊与标识：Front Med (Lausanne) · PMID 42952504 · DOI 10.3389/fmed.2026.1958359
A 级证据分级：A 级（同行评议人体研究）
本文属人体研究证据，但需注意：观察性或小样本干预的结论不等于已证实临床获益；效应量与长期安全性仍需更大规模、更长随访的试验验证。
关于本文的文献来源：本站依据 IMA 知识库「五刊监控·深度文献卡片」撰写，依据已获取的期刊全文（方法、样本量与结论已回到原文核对）；未能获取全文的同批条目另行标注「摘要级」，全程未做任何数值推算补全。