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2025 (English)Conference paper, Oral presentation with published abstract (Refereed)
Abstract [en]
Background
High professional competence is crucial for ambulance personnel, as expected by patients, relatives, and organizations. Prehospital advanced trauma and medical care demand exceptional competence. Specialized training programs i.e., AMLS, ATLS, and PHTLS are widely adopted internationally. Integrating “beyond-5G and 6G technologies” can significantly enhance realism, increase the number of simulated patient cases, and improve prehospital nursing education by providing real-time data and advanced communication capabilities. This integration supports the development of critical thinking and decision-making skills and ensures that ambulance personnel are well-prepared to handle a wide range of emergencies, ultimately improving patient outcomes and overall service efficiency. The aim of this study is to evaluate the impact of integrating high-fidelity simulation with “beyond-5G and 6G technologies” in prehospital nurse education.
Methods
Students will practically carry out multiple high fidelity simulation cases in a road ambulance. The cases are communicated and distributed from the learning site to the ambulance using “beyond-5G and 6G technologies”. Data are gathered using the Paramedic Global Rating Scale and System Usability Scale. Students’ experiences of reality and learning will also be explored in individual (n=15) interviews.
Results
The study is expected to demonstrate that integrating realistic high-fidelity simulation with “beyond-5G and 6G technologies” can improve clinical and decision-making skills in prehospital nursing students. The study is also expected to be able to relate effective simulation methods to different simulated scenarios and contribute to more effective prehospital nurse education.
Conclusions
High-fidelity simulation with “beyond-5G and 6G technologies” could be a valuable addition to future prehospital nurse education.
National Category
Medical and Health Sciences Computer Sciences
Research subject
Nursing Science; Computer Science
Identifiers
urn:nbn:se:kau:diva-106660 (URN)
Conference
European EMS congress, Stockholm, Sweden, June 2-4, 2025.
Projects
6G-Path/6G SNS
2025-08-222025-08-222026-02-12Bibliographically approved