护士对基于AI动态评估静脉血栓栓塞风险接受度的潜在剖面分析及其影响因素
圣莉 程, 楠楠 李, 嘉 黄, 伟娜 王, 敏 方, 雪梅 詹, 文风 林, 凌云 田 · 2026
Read 护士对基于AI动态评估静脉血栓栓塞风险接受度的潜在剖面分析及其影响因素 by 圣莉 程, 楠楠 李, 嘉 黄, 伟娜 王, 敏 方, 雪梅 詹, 文风 林, 凌云 田 (2026) in the Tower of Babel, a free online library of public-domain works preserved in clean, searchable text. No sign-up. The full text is served as a plain-text file at a predictable URL, where text is present: https://antarctic-labs.com/tower-of-babel/pmc-13500731.txt.
Description
圣莉 程 and others survey nurses on acceptance of AI systems that dynamically assess venous thromboembolism risk in hospital patients. In 2026, the study collects valid surveys from 2,323 nurses at tertiary hospitals in Anhui Province between April and June 2025. It uses latent profile analysis to find distinct acceptance groups and logistic regression to explain them. Nurse acceptance directly shapes whether smart nursing tools work in practice.
Three profiles emerged: low acceptance with concern and resistance at about seventeen percent, medium acceptance with cautious waiting at about fifty-one percent, and high acceptance with active embrace at about thirty-three percent. Professional attitude, night shift frequency, years of service, and prevention knowledge predicted group membership. Managers should target support and training by profile rather than one uniform rollout.
Catalog record
| CREATOR | 圣莉 程, 楠楠 李, 嘉 黄, 伟娜 王, 敏 方, 雪梅 詹, 文风 林, 凌云 田 |
|---|---|
| YEAR | 2026 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 31 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |