Artificial Intelligence-Assisted Learning for Nursing Drug Calculation

The purpose of this study is to evaluate how an Artificial Intelligence -assisted learning platform affects nurses' ability to calculate medication dosages accurately. Drug calculation is a critical skill in nursing, and errors can significantly impact patient safety. While traditional teaching methods are standard, they may not provide the personalized feedback needed for such a high-stakes task. This study compares two groups of nurses: one group using an Artificial Intelligence-driven software that provides interactive scenarios and real-time guidance, and another group receiving traditional classroom instruction. The researchers aim to determine whether the AI approach leads to: Improved theoretical knowledge of drug calculations. Enhanced clinical decision-making during medication administration. Increased nurses' confidence (self-efficacy) in performing these tasks in real clinical settings. In addition, a qualitative component conducted using focus group discussions to explore participants' acceptance, perceived usefulness, usability, and overall perceptions of the AI-assisted learning platform. This qualitative inquiry provides a deeper insight into nurses' experiences, attitudes toward AI integration in education, and their opinions regarding the effectiveness of the teaching and learning strategies used within the platform.

NCT Number	NCT07448259
Lead Sponsor	Alexandria University
Conditions	Nursing Education, Clinical Competence, Medication Errors
Enrollment	56 participants
Start Date	2025-09-22
Primary Completion	2025-12-30 (estimated)
Study Completion	2025-12-30 (estimated)
Updated on ClinicalTrials.gov	2026-04-01