Implementation of a course on disruptive technologies for nursing students in Chile
DOI:
https://doi.org/10.56294/dm2023129Keywords:
Training, Nursing, Disruptive Technologies, Digital Health, 3D PrintingAbstract
Several institutions and countries have recognized the need to integrate disruptive technologies in the training of health professionals. An elective course on disruptive technologies in health for nursing was developed, structured in 5 units: a) innovation in health and nursing, b) creation of apps and virtual environments, c) digital manufacturing for nursing, d) sensors and internet of things, and e) data science in health. For its implementation, the didactic model proposed by Jorba and Sanmartí was considered; and for the evaluation of the units and the impact of the course, Urquidi's extended model of technological adoption was used. Forty-four students participated (39 women and 5 men), with an average age of 23 years. According to the technology acceptance model, statistically significant differences were found between the pre- and post-intervention groups in all dimensions of the model (Wilcoxon test, p < 0,05). In addition, a positive correlation was found between ease of use, subjective norm and intention to use the technologies taught. The implementation of the disruptive technologies course proved to be effective in the development of technological skills among nursing students in Chile
References
1. de Carvalho Barbosa Cavalcante AK, de Macêdo Rocha D, Tolstenko Nogueira L. Contribuciones de tecnologías digitales para la seguridad de pacientes en el contexto hospitalario. Rev Cubana Enferm. 2022;38(2).
2. Francoisse CA, Sescleifer AM, King WT, Lin AY. Three-dimensional printing in medicine: a systematic review of pediatric applications. Pediatr Res. 2021;89(3):415–25. http://dx.doi.org/10.1038/s41390-020-0991-6
3. Aveiro-Róbalo TR. Distance learning and its relation to medical education in the present times. Seminars in Medical Writing and Education 2022;1:10–10. https://doi.org/10.56294/mw202210
4. Pérez Acuña C, Contreras Gutiérrez J, Mattoli Chiavarelli M. La conversión a un mundo digital hiperconectado en salud impulsado por la pandemia del COVID-19. Rev Med Chil. 2020;148(8):1223–4. http://dx.doi.org/10.4067/s0034-98872020000801223
5. Li L, Novillo-Ortiz D, Azzopardi-Muscat N, Kostkova P. Digital data sources and their impact on people’s health: A systematic review of systematic reviews. Front Public Health. 2021;9. http://dx.doi.org/10.3389/fpubh.2021.645260
6. Buchanan C, Howitt ML, Wilson R, Booth RG, Risling T, Bamford M. Nursing in the age of artificial intelligence: Protocol for a scoping review. JMIR Res Protoc. 2020;9(4):e17490.
7. Sounderajah V, Patel V, Varatharajan L, Harling L, Normahani P, Symons J, et al. Are disruptive innovations recognised in the healthcare literature? A systematic review. BMJ Innov. 2021;7(1):208–16.
8. Sartor P. ¿Qué hay que saber de las tecnologías disruptivas? Revista de Negocios del IEEM. diciembre de 2017;22–8.
9. WHO. World Health Organization. 2021.Global strategy on digital health 2020-2025.
10. Abdulhussein H, Turnbull R, Dodkin L, Mitchell P. Towards a national capability framework for Artificial Intelligence and Digital Medicine tools – A learning needs approach. Intell Based Med.2021;5(100047):100047. https://doi.org/10.1016/j.ibmed.2021.100047
11. Benavente-Rubio A. El rol de enfermería en la salud digital: oportunidades y desafíos para la ciencia del cuidado. Rev médica Clín Las Condes. 2022;33(6):598–603. https://doi.org/10.1016/j.rmclc.2022.11.004
12. Martínez R, Palma A, Velásquez AM. Revolución tecnológica e inclusión social: reflexiones sobre desafíos y oportunidades para la política social en América Latina. 2020. https://repositorio.cepal.org/handle/11362/45901
13. Castillo JIR. Cultural competence in medical and health education: an approach to the topic. Seminars in Medical Writing and Education 2022;1:13–13. https://doi.org/10.56294/mw202213.
14. Urquidi Martin AC, Calabor Prieto MS, Tamarit Aznar C. Entornos virtuales de aprendizaje: modelo ampliado de aceptación de la tecnología. Rev electrón investig educ. 2019;21:1–12. http://dx.doi.org/10.24320/redie.2019.21.e22.1866
15. Bono Cabré R. Diseños cuasi-experimentales y longitudinales. 2012; https://diposit.ub.edu/dspace/handle/2445/30783
16. Tortorella GL, Fogliatto FS, Mac Cawley Vergara A, Vassolo R, Sawhney R. Healthcare 4.0: trends, challenges and research directions. Prod Plan Control. 2020;31(15):1245–60. http://dx.doi.org/10.1080/09537287.2019.1702226
17. Huston C. The impact of emerging technology on nursing care: Warp speed ahead. Online J Issues Nurs. 2013;18(2). http://dx.doi.org/10.3912/ojin.vol18no02man01
17. Gomez-Marquez JF, Young AK. A history of nurse making and stealth innovation. SSRN Electron J. 2016. http://dx.doi.org/10.2139/ssrn.2778663
18. Aimar A, Palermo A, Innocenti B. The role of 3D printing in medical applications: A state of the art. J Healthc Eng.2019;2019:1–10. http://dx.doi.org/10.1155/2019/5340616
19. Fan D, Li Y, Wang X, Zhu T, Wang Q, Cai H, et al. Progressive 3D printing technology and its application in medical materials. Front Pharmacol.2020;11. http://dx.doi.org/10.3389/fphar.2020.00122
20. Inastrilla CRA. Data Visualization in the Information Society. Seminars in Medical Writing and Education 2023;2:25–25. https://doi.org/10.56294/mw202325
21. Sicilia M-A, García-Barriocanal E, Sánchez-Alonso S, Różewski P, Kieruzel M, Lipczyński T, et al. Digital skills training in Higher Education: Insights about the perceptions of different stakeholders. En: Proceedings of the Sixth International Conference on Technological Ecosystems for Enhancing Multiculturality. New York, NY, USA: ACM; 2018
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