Percepción de los estudiantes de programas de salud sobre el uso de una herramienta de realidad aumentada en prácticas anatómicas
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Torres, L., Corchuelo, C., Velez Tobar, R., & Florez Marulanda, J. (2023). Percepción de los estudiantes de programas de salud sobre el uso de una herramienta de realidad aumentada en prácticas anatómicas. NOVA, 21(40), 95-105. https://doi.org/10.22490/24629448.6918
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Autores
Luis Alejandro Torres
https://orcid.org/0000-0003-1646-4419
https://orcid.org/0000-0003-1646-4419
Cesar Corchuelo
https://orcid.org/0000-0003-3812-8950
https://orcid.org/0000-0003-3812-8950
Raquel Amalia Velez Tobar
https://orcid.org/0000-0002-7579-1834
https://orcid.org/0000-0002-7579-1834
Juan Fernando Florez Marulanda
https://orcid.org/0000-0003-1646-4419
https://orcid.org/0000-0003-1646-4419
Resumen
Introducción: La realidad aumentada en el campo de la medicina tiene un crecimiento continuo, brindando apoyo en componentes teóricos y prácticos. Esta tecnología presenta un entorno seguro para la experimentación de estudiantes de ciencias de la salud. Objetivo: La presente investigación analiza la influencia sobre la aceptación de estudiantes de laboratorios de morfología con la herramienta de realidad aumentada HOLOMARKERS. Esta herramienta permite al usuario colocar alfileres virtuales sobre material biológico humano para un etiquetado de tejidos, músculos y órganos, evitando contacto directo con la muestra. Metodología: Para analizar la influencia de HOLOMARKERS en la aceptación de los estudiantes, se usó un modelo de aceptación de la tecnología. Cada uno de los cuatro núcleos del modelo se constituye por cuatro preguntas en escala Likert. El tamaño de la población encuestada es 17 estudiantes de ciencias de la salud. Resultados: La aceptación de HOLOMARKERS por parte de los estudiantes es influenciada por la utilidad percibida de la herramienta y la formación teórica previa de los estudiantes. Conclusiones: Los estudiantes encuestados resaltan la utilidad de HOLOMARKERS para el desarrollo de las prácticas en el laboratorio de anatomía macroscópica con material biológico humano.
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NOVA por http://www.unicolmayor.edu.co/publicaciones/index.php/nova se distribuye bajo una Licencia Creative Commons Atribución-NoComercial-SinDerivar 4.0 Internacional.
Así mismo, los autores mantienen sus derechos de propiedad intelectual sobre los artículos.
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https://doi.org/10.1186/s42492-020-00057-7
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8. Gerup J, Soerensen CB, Dieckmann P. Augmented reality and mixed reality for healthcare education beyond surgery: an integrative review. Int J Med Educ. 2020;11:1.
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https://doi.org/10.22490/24629448.1036
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https://doi.org/10.7599/hmr.2016.36.4.242
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https://doi.org/10.5858/arpa.2017-0189-OA
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https://doi.org/10.1080/17453054.2019.1671813
13. Stojanovska M, Tingle G, Tan L, Ulrey L, Simonson-Shick S, Mlakar J, et al. Mixed reality anatomy using Microsoft HoloLens and cadaveric dissection: a comparative effectiveness study. Med Sci Educ. 2020;30(1):173-8.
https://doi.org/10.1007/s40670-019-00834-x
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https://doi.org/10.20548/innoeduca.2016.v2i2.1955
15. Pelanis E, Kumar RP, Aghayan DL, Palomar R, Fretland ÅA, Brun H, et al. Use of mixed reality for improved spatial understanding of liver anatomy. Minimally Invasive Therapy & Allied Technologies. 2020;29(3):154-60.
https://doi.org/10.1080/13645706.2019.1616558
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https://doi.org/10.1016/j.ijinfomgt.2018.03.004
17. Gibby JT, Swenson SA, Cvetko S, Rao R, Javan R. Head-mounted display augmented reality to guide pedicle screw placement utilizing computed tomography. Int J Comput Assist Radiol Surg. 2019;14(3):525-35.
https://doi.org/10.1007/s11548-018-1814-7
18. Sirilak S, Muneesawang P. A new procedure for advancing telemedicine using the HoloLens. Ieee Access. 2018;6:60224-33.
https://doi.org/10.1109/ACCESS.2018.2875558
19. Saito Y, Sugimoto M, Imura S, Morine Y, Ikemoto T, Iwahashi S, et al. Intraoperative 3D hologram support with mixed reality techniques in liver surgery. Annals of Surgery. 2020;271(1):e4-e7.
https://doi.org/10.1097/SLA.0000000000003552
20. Richardson T, Gilbert S, Holub J, MacAllister A, Thompson F, Radkowski R, et al. Fusing self-reported and sensor data from mixed-reality training. 2014;
21. Evans G, Miller J, Pena MI, MacAllister A, Winer E. Evaluating the Microsoft HoloLens through an augmented reality assembly application. In: Degraded environments: sensing, processing, and display 2017. 2017. p. 282-97.
https://doi.org/10.1117/12.2262626
22. Pérez-Muñoz A, Garzón-Martínez M, Pineda-Gómez AI, Miranda-Cruz ÁD, Villamizar-Gómez L. Acquired skills with laparoscopic simulators in gynaecological laparoscopic surgery training programs: A review of reviews. Vol. 20, Educacion Medica. Elsevier Espana S.L.U; 2019. p. 309-24.
https://doi.org/10.1016/j.edumed.2018.10.013
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https://doi.org/10.2196/10967
24. Munzer BW, Khan MM, Shipman B, Mahajan P. Augmented reality in emergency medicine: a scoping review. J Med Internet Res. 2019;21(4):e12368.
https://doi.org/10.2196/12368
25. Cabero Almenara J, Barroso Osuna J, Obrador M. Augmented reality applied to the teaching of medicine. Educacion Medica. 2017 Jul 1;18(3):203-8.
https://doi.org/10.1016/j.edumed.2016.06.015
26. Robinson BL, Mitchell TR, Brenseke BM. Evaluating the use of mixed reality to teach gross and microscopic respiratory anatomy. Medical Science Educator. 2020;30(4):1745-8.
https://doi.org/10.1007/s40670-020-01064-2
27. Kumar N, Pandey S, Rahman E. A novel three-dimensional interactive virtual face to facilitate facial anatomy teaching using Microsoft HoloLens. Aesthetic Plastic Surgery. 2021;45(3):1005-11.
https://doi.org/10.1007/s00266-020-02110-5
28. Hopkins WG, Marshall SW, Batterham AM, Hanin J. Progressive statistics for studies in sports medicine and exercise science. Vol. 41, Medicine and Science in Sports and Exercise. 2009. p. 3-12.
https://doi.org/10.1249/MSS.0b013e31818cb278
29. Nagy JT. Evaluation of online video usage and learning satisfaction: An extension of the technology acceptance model. International Review of Research in Open and Distributed Learning. 2018;19(1).
https://doi.org/10.19173/irrodl.v19i1.2886
30. R Core Team. R: A Language and Environment for Statistical Computing [Internet]. Vienna, Austria; 2021. Available from: https://www.R-project.org/
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