Examining the Effectiveness of an Educational and Assessment Cardiopulmonary Resuscitation Simulator Using Extended Reality and Artificial Intelligence Technology in Red Crescent Rescuers
preprint
OA: closed
CC-BY-4.0
Abstract
Abstract Introduction: The advancement of technology today has made it essential to train Red Crescent rescuers using innovative learning tools, such as Extended Reality (XR) and Artificial Intelligence (AI). This study aimed to examine the effectiveness of an educational and assessment CPR (Cardiopulmonary Resuscitation) simulator using modern technologies among Red Crescent rescuers. Methodology: This interventional cross-sectional study was conducted between 2023 and 2024 in Iran. The study population consisted of rescuers in Tehran. The simple random sampling method was used. Initially, a pre-test was administered to two groups of 15 participants: one received traditional training and the other received modern XR-based training. Following the training, both groups underwent tests in four stages, with each stage one week apart. The performance data during the resuscitation process were collected using various sensors, image processing cameras, virtual reality (VR) glasses, smart mannequins, robotic components, a central microcontroller processor, trackers, and other smart simulator equipment. The data were evaluated quantitatively and qualitatively in accordance with the standards of the international OSCE (Objective Structured Clinical Examination). Findings: The results showed that groups trained using simulators demonstrated a significant improvement in post-test scores compared to pre-test scores. In groups that had no prior CPR training, the simulator-based training increased the average scores by 9.54, which was significantly higher than the 3.55 increase observed in the traditional training method. The group trained with the simulator showed an average score increase of 10.64, which was much higher than the 3.89 increase in the traditional training method. Conclusion The use of XR simulators and AI led to a significant improvement in the practical skills of rescuers in cardiopulmonary resuscitation. It is recommended that this technology be widely implemented in educational programs. For those who have already undergone traditional training, complementary courses using simulators could further enhance their skills and knowledge.
My notes (saved in your browser only)
Citation neighborhood (no data yet)
We don't have any in-corpus citations linked to this paper yet. This is a recent paper (2024) — citers typically take a year or two to land, and the OpenAlex reference graph may still be filling in.
Source provenance
- europepmc
- last seen: 2026-05-20T01:45:00.602351+00:00
- unpaywall
- last seen: 2026-05-24T02:00:01.246996+00:00
License: CC-BY-4.0