Analysis of the perception of health professionals regarding the incorporation of emerging technologies in their practice
DOI:
https://doi.org/10.56294/saludcyt2023565Keywords:
Perception, Emerging Technologies, Health Professionals, Telemedicine, Future PerspectivesAbstract
Introduction: healthcare is currently in the midst of a technology-driven revolution. Emerging technologies (ETs) are disrupting the practice of healthcare professionals in ways that once seemed futuristic, but are now an everyday reality in clinics and hospitals around the world.
Objective: to analyze the perception of health professionals regarding the incorporation of emerging technologies in their practice.
Methods: it is a quantitative, descriptive, non-experimental, cross-sectional study, whose sample was 107 health professionals who work in different health centers in Lima. The survey technique was used and the instrument was the questionnaire.
Results: the participants perceived the incorporation and use of TE in their practice by 63,55 % (68) at a moderate level, 20,56 % (22) reported a high level, while 15,89 % indicated a low level.
Conclusions: it was possible to specify a moderate level in the incorporation and use of TE, suggesting an intermediate position in technological adoption in medical care. This provides a solid foundation for future advances and improvements in the implementation of TE in medical practice
References
1. Cabero J, Valencia R, Llorente C. Ecosistema de tecnologías emergentes: realidad aumentada, virtual y mixta. Rev Tecnol Cienc Educ. 2022;23:7-22.
2. Minopoulos GM, Memos VA, Stergiou CL, Stergiou KD, Plageras AP, Koidou MP, et al. Exploitation of Emerging Technologies and Advanced Networks for a Smart Healthcare System. Appl Sci. 2022;12(12):5859.
3. Cabero J, Barroso J, Obrador M. Realidad aumentada aplicada a la enseñanza de la medicina. Educ Médica. 2017;18(3):203-8.
4. Leiva L, Proaño R, Chicaiza J, Recalde R, Hernández E. Tecnologías emergentes con aplicación en Salud: desarrollo de una plataforma integrada para la evaluación de factores de riesgo, diagnóstico, tratamiento, pronóstico y geolocalización en Pandemia Covid- 19 por SARS-Cov-2¨. Mediciencias UTA. 2020;4(4):19-28.
5. Dang VA, Vu Khanh Q, Nguyen VH, Nguyen T, Nguyen DC. Intelligent Healthcare: Integration of Emerging Technologies and Internet of Things for Humanity. Sensors. enero de 2023;23(9):4200.
6. Yoo JH, Jeong H, Chung TM. Cutting-Edge Technologies for Digital Therapeutics: A Review and Architecture Proposals for Future Directions. Appl Sci. 2023;13(12):6929.
7. Ioppolo G, Vazquez F, Hennerici MG, Andrés E. Medicine 4.0: New Technologies as Tools for a Society 5.0. J Clin Med. 2020;9(7):2198.
8. Giansanti D. Precision Medicine 2.0: How Digital Health and AI Are Changing the Game. J Pers Med. 2023;13(7):1057.
9. Pang TY, Lee TK, Murshed M. Towards a New Paradigm for Digital Health Training and Education in Australia: Exploring the Implication of the Fifth Industrial Revolution. Appl Sci. 2023;13(11):6854.
10. Day G, Schoemaker P, Gunther R. Gerencia de tecnologías emergentes [Internet]. Buenos Aires, Argentina: Editorial Vergara Business; 2002 [citado 2 de septiembre de 2023]. Disponible en: https://dialnet.unirioja.es/servlet/articulo?codigo=7074386
11. Jiménez C, Castellanos O, Villa E. La Gestión de Tecnologías Emergentes en el Ámbito Universitario. TecnoLógicas. 2011;(26):145-63.
12. Kitsios F, Kamariotou M, Syngelakis AI, Talias MA. Recent Advances of Artificial Intelligence in Healthcare: A Systematic Literature Review. Appl Sci. 2023;13(13):7479.
13. Al Kuwaiti A, Nazer K, Al-Reedy A, Al-Shehri S, Al-Muhanna A, Subbarayalu AV, et al. A Review of the Role of Artificial Intelligence in Healthcare. J Pers Med. 2023;13(6):951.
14. Stoumpos AI, Kitsios F, Talias MA. Digital Transformation in Healthcare: Technology Acceptance and Its Applications. Int J Environ Res Public Health. 2023;20(4):3407.
15. Junaid SB, Imam AA, Balogun AO, De Silva LC, Surakat YA, Kumar G, et al. Recent Advancements in Emerging Technologies for Healthcare Management Systems: A Survey. Healthcare. 2022;10(10):1940.
16. Kamruzzaman MM, Alrashdi I, Alqazzaz A. New Opportunities, Challenges, and Applications of Edge-AI for Connected Healthcare in Internet of Medical Things for Smart Cities. J Healthc Eng. 2022;2022:e2950699.
17. Krishnamoorthy S, Dua A, Gupta S. Role of emerging technologies in future IoT-driven Healthcare 4.0 technologies: a survey, current challenges and future directions. J Ambient Intell Humaniz Comput. 2023;14(1):361-407.
18. Li W, Chai Y, Khan F, Jan SRU, Verma S, Menon VG, et al. A Comprehensive Survey on Machine Learning-Based Big Data Analytics for IoT-Enabled Smart Healthcare System. Mob Netw Appl. 2021;26(1):234-52.
19. Nahavandi D, Alizadehsani R, Khosravi A, Acharya UR. Application of artificial intelligence in wearable devices: Opportunities and challenges. Comput Methods Programs Biomed. 2022;213:106541.
20. Hernández R, Mendoza C. Metodología de investigación. Las rutas cuantitativa, cualitativa y mixta. McGRAW-HILL; 2018.
21. Arias F. El Proyecto de investigación. Introducción a la Metodología Científica. 7° Edición. Episteme; 2016.
22. Ñaupas H, Mejía E, Novoa E, Villagómez A. Metodología de la investigación Cuantitativa-Cualitativa y redacción de la tesis. Ediciones de la U; 2014.
23. Palella S, Martins F. Metodología de la investigación cuantitativa. FEDEUPEL; 2012
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Copyright (c) 2023 Manuel Silva Infantes , Juan Manuel Sánchez Soto , Milagros Amparo Astete Montalvo , José Leonor Ruiz Nizama , Leonardo Velarde Dávila , Roberto Carlos Dávila-Morán , Dimna Zoila Alfaro Quezada , Alexander Frank Pasquel Cajas (Author)
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