Adaptive AI-based mobile simulation for drug calculation competency in nurses: a mixed-methods RCT
Mohamed Fakhry Ahmed Salem, Ahmed Khamis Sharaf, Ahmed abdelhafeez abdelmonseif Younis · 2026
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Description
Mohamed Fakhry Ahmed Salem and two co-authors trial a phone app that trains nurses in drug dose math, in a 2026 paper. Dose slips are a stubborn risk to patients, and old-style teaching often fails to make staff sure-footed. Their app mimics a hospital drug round, adapts to each learner, and gives feedback that grows harder case by case.
Fifty-six nurses at one private hospital were split by lot into app and standard groups. After training, the app group scored higher on dose knowledge, care choices, and faith in their own skill, with large gaps. Talks with the app group praised its realism and ease, while naming snags too. The authors say wider use needs tests in more settings first.
Catalog record
| CREATOR | Mohamed Fakhry Ahmed Salem, Ahmed Khamis Sharaf, Ahmed abdelhafeez abdelmonseif Younis |
|---|---|
| YEAR | 2026 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 61 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |