Psychological safety and perceived risk are associated with emergency nurses’ intention to use AI-augmented triage systems
Yuan Jiang, Minghao Kong, Taotao Feng, Shijie Wu · 2026
Read Psychological safety and perceived risk are associated with emergency nurses’ intention to use AI-augmented triage systems by Yuan Jiang, Minghao Kong, Taotao Feng, Shijie Wu (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/PMC13500836.txt.
Description
Yuan Jiang leads a four-author team with a 2026 survey of emergency nurses in Shanghai about AI-augmented triage systems, software that helps rank incoming patients by urgency. The cross-sectional survey covered 162 frontline triage nurses at nine pilot hospitals between June and August 2025. Every nurse had at least six months of triage experience and three months of hands-on use of the AI system. Responses were analysed with partial least squares structural equation modelling, a method for testing linked attitudes.
The model explained 57.2 percent of the variation in attitude and 41.0 percent of the variation in plans to use the system. Task-technology fit, perceived explainability, and psychological safety each related positively to nurses' stance, with coefficients between about 0.385 and 0.483 in size. That stance in turn related strongly to intention. Perceived risk slightly weakened the step from a favourable attitude to an intention to use the tool.
Catalog record
| CREATOR | Yuan Jiang, Minghao Kong, Taotao Feng, Shijie Wu |
|---|---|
| YEAR | 2026 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 59861 |
| LICENSE | https://creativecommons.org/licenses/by/4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |