AI-Powered lessons could help nurses prevent bedsores

NCT ID NCT07658209

Completed Knowledge-focused Sponsor: Kilis 7 Aralik University Source: ClinicalTrials.gov ↗

First seen Jun 27, 2026 · Last updated Jun 27, 2026

Summary

This study tests whether an artificial intelligence-supported e-learning programme helps nursing students learn pressure injury prevention better than standard face-to-face classes. About 162 undergraduate nursing students are randomly assigned to either a traditional classroom session or a modular online course with videos, quizzes, and AI-generated feedback. Researchers measure changes in students' knowledge, confidence, and attitudes right after the training and again four weeks later. The goal is to see if modern digital tools can improve how future nurses prevent painful bedsores in patients.

What this could mean

Our plain-language read of the trial. This is informational only — not medical advice or a prediction.

Active substance: AI-Supported Modular E-Learning Programme
What this could lead to: If effective, this AI-based teaching method could improve how future nurses learn pressure injury prevention, potentially leading to better patient care and fewer bedsores.
What could go wrong: This is an educational study with 162 participants, not a clinical treatment trial. Results may not translate to real-world patient outcomes or apply to other settings.

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As listed by the trial registrant

The condition terms exactly as the trial's registrant entered them.

CONDITIONS OR FOCUS OF STUDY NURSING EDUCATION PRESSURE INJURY PREVENTION PRESSURE ULCER PREVENTION

Contacts and locations

Locations

Kilis 7 Aralık University, Yusuf Şerefoğlu Faculty of Health Sciences, Department of Nursing

Kilis, Kilis, 79000, Turkey (Türkiye)

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