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Artificial Intelligence-Assisted Learning for Nursing Drug Calculation

NCT07448259 · Status: COMPLETED · Phase: NA · Type: INTERVENTIONAL · Enrollment: 56

Last updated 2026-04-01

No results posted yet for this study

Summary

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.

Conditions

  • Nursing Education
  • Clinical Competence
  • Medication Errors

Interventions

DEVICE

Artificial Intelligence-Assisted Drug Calculation Platform

An innovative Artificial Intelligence software enhances nursing accuracy in drug calculations and clinical reasoning through scenario-based learning, providing real-time feedback and adaptive learning paths.

OTHER

Traditional Nursing Education

Standard classroom-based instruction consists of theoretical lectures and paper-based practice focusing on medication dosage calculations.

Sponsors & Collaborators

  • Alexandria University

    lead OTHER

Study Design

Allocation
RANDOMIZED
Purpose
HEALTH_SERVICES_RESEARCH
Masking
NONE
Model
PARALLEL

Eligibility

Min Age
18 Years
Sex
ALL
Healthy Volunteers
Yes

Timeline & Regulatory

Start
2025-09-22
Primary Completion
2025-12-30
Completion
2025-12-30

Countries

  • Egypt

Study Locations

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Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT07448259 on ClinicalTrials.gov