TY - JOUR
T1 - Evaluation of Mixed Reality Technologies in Telemedicine-Assisted Childbirth Simulations
AU - Vasquez-Cevallos, Leonel
AU - Parpacen-Briones, Leticia
AU - Del-Pino-Bazan, Fabian
AU - Moran-Chaguay, Hermes
AU - Diaz-Mora, Pryscilla
AU - Zevallos, Juan Carlos
AU - Estrada, Rebeca
AU - Soto-Rodriguez, Paul E.D.
AU - Muñoz-Hernández, Susana
AU - Herranz-Nieva, Ángel
N1 - Publisher Copyright:
© 2024 The Authors.
PY - 2024
Y1 - 2024
N2 - Mixed reality (MR) offers a unique blend of immersive experiences with real-world applications, positioning it as a transformative tool in medical education. This study evaluated the effectiveness of MR technologies, specifically HoloLens 2 and the Lucina Childbirth Simulator, in telemedicine-assisted childbirth simulations. A quasi-experimental design assessed user experience, educational effectiveness, and technology adoption, involving 17 medical students, two instructors, and two observers. Results demonstrated that MR significantly enhanced students' understanding of complex clinical concepts, with 80.95% finding it more effective than traditional methods and 71.43% willing to adopt MR for future training. However, challenges in user comfort and interface intuitiveness were identified, highlighting areas for improvement. The study concludes that further refinements are needed to fully maximize the impact of MR in medical training.
AB - Mixed reality (MR) offers a unique blend of immersive experiences with real-world applications, positioning it as a transformative tool in medical education. This study evaluated the effectiveness of MR technologies, specifically HoloLens 2 and the Lucina Childbirth Simulator, in telemedicine-assisted childbirth simulations. A quasi-experimental design assessed user experience, educational effectiveness, and technology adoption, involving 17 medical students, two instructors, and two observers. Results demonstrated that MR significantly enhanced students' understanding of complex clinical concepts, with 80.95% finding it more effective than traditional methods and 71.43% willing to adopt MR for future training. However, challenges in user comfort and interface intuitiveness were identified, highlighting areas for improvement. The study concludes that further refinements are needed to fully maximize the impact of MR in medical training.
KW - Childbirth Simulation
KW - Educational Effectiveness
KW - Medical Education
KW - Mixed Reality (MR)
KW - Telemedicine
UR - https://www.scopus.com/pages/publications/85215014144
U2 - 10.1016/j.procs.2024.11.131
DO - 10.1016/j.procs.2024.11.131
M3 - Artículo de la conferencia
AN - SCOPUS:85215014144
SN - 1877-0509
VL - 251
SP - 438
EP - 445
JO - Procedia Computer Science
JF - Procedia Computer Science
T2 - 15th International Conference on Emerging Ubiquitous Systems and Pervasive Networks / 14th International Conference on Current and Future Trends of Information and Communication Technologies in Healthcare, EUSPN/ICTH 2024
Y2 - 28 October 2024 through 30 October 2024
ER -