Adopción de la Inteligencia Artificial en la Atención Sanitaria: Una perspectiva enfermera

Autores/as

DOI:

https://doi.org/10.56294/saludcyt2023510

Palabras clave:

Sanidad, Inteligencia Artificial, Adopción de la IA, Perspectiva de la enfermería, Enfermería

Resumen

La inteligencia artificial (IA) está revolucionando diversas áreas de la atención sanitaria, en particular el campo de la medicina y la enfermería, denominado "Adopción de la inteligencia artificial en la atención sanitaria: Una perspectiva enfermera". Este artículo examina el estado de la inteligencia artificial (IA) en la investigación sanitaria, su uso, sus ventajas para la atención sanitaria y los retos que pueden surgir al adoptar la IA en las organizaciones sanitarias. Las ventajas de la IA, como el aumento de la eficiencia, el ahorro de costes, la orientación hacia el futuro, la mejora de la toma de decisiones y la mejora de la experiencia asistencial de los pacientes. Es necesario abordar los retos para garantizar el éxito de la adopción de la IA en las operaciones sanitarias y las modalidades de tratamiento, incluida la Enfermería. Entre las posibles dificultades que plantea la aplicación de la IA se encuentran los problemas relacionados con la protección de datos, la necesidad de conocimientos y formación adicionales y las cuestiones morales. El Impacto de la Inteligencia Artificial en la Asistencia Sanitaria ofrece a las organizaciones que buscan utilizar esta tecnología para alcanzar sus objetivos estratégicos rentables de mejora de la atención al paciente una visión útil de cómo la IA está transformando los campos y las intervenciones médicas y de enfermería.

Métricas

Cargando métricas ...

Citas

Muhammed Iyas AD. Artificial intelligence in healthcare. Health and Medicine. 2018 Apr 10.

Global Observatory for e-health. 58th WHO assembly. 2015.

Davenport T, Kalakota R. The potential for artificial intelligence in healthcare. Future Healthcare Journal. 2019;6(2):94–98. https://doi.org/10.7861/futurehosp.6-2-94

Mehdipour Y. Nursing Managers’ Attitudes Towards Using Artificial Intelligence Systems in Nursing Decisions. IOSR Journal of Nursing and Health Science (IOSR-JNHS). 2019;8(02):87-90. DOI: 10.9790/1959-0802018790

Abdullah R, Fakieh B. Health Care Employees’ Perceptions of the Use of Artificial Intelligence Applications: Survey Study. J Med Internet Res. 2020;22(5):e17620. https://doi.org/10.2196/17620

Glassman J, Humphreys K, Yeung S, Smith M, Jauregui A, Milstein A, Sanders L. Parents' Perspectives on Using Artificial Intelligence to Reduce Technology Interference During Early Childhood: Cross-sectional Online Survey. J Med Internet Res. 2021;23(3):e19461. https://doi.org/10.2196/19461

Haneef R, Delnord M, Vernay M, Bauchet E, Gaidelyte R, Van Oyen H, Or Z, Pérez-Gómez B, Palmieri L, Achterberg P, Tijhuis M, Zaletel M, Mathis-Edenhofer S, Májek O, Haaheim H, Tolonen H, Gallay A. Innovative use of data sources: a cross-sectional study of data linkage and artificial intelligence practices across European countries. Arch Public Health. 2020;78(55):1-11. https://doi.org/10.1186/s13690-020-00436-9

Julia A, Allessandro B, Effy V, Dietmar F. Explainability for artificial intelligence in healthcare: A multidisciplinary perspective. BMC Medical Informatics and Decision Making. 2020;20(1):1-9. https://doi.org/10.1186/s12911-020-01332-6

Islam Lenin R. The Impact of Artificial Intelligence (AI) on Business Operations. International Journal of Advanced Multidisciplinary Research and Studies. 2023;3(2):788-797.

Ravishankar MN, Srikanth TK. The Impact of Artificial Intelligence on Business Operations: A Conceptual Framework. International Journal of Business Information Systems. 2019;33(1):1-21.

Evans P, Annunziata M. Artificial Intelligence and the Future of Work. Harvard Business Review. 2018.

Castagno S, Khalifa M. Perceptions of Artificial Intelligence Among Healthcare Staff: A Qualitative Survey Study. Front Artif Intell. 2020;3:578983. https://doi.org/10.3389/frai.2020.578983

S, S. P., V, G. R., Somasundaram J. AWARENESS AND KNOWLEDGE ABOUT ARTIFICIAL INTELLIGENCE IN HEALTHCARE AMONG DOCTORS - A SURVEY. European Journal of Molecular & Clinical Medicine. 2020;7(1):697-708.

Buch VH, Ahmed I, Maruthappu M. Artificial intelligence in medicine: current trends and future possibilities. British Journal of General Practice. 2018;68(668):143-144. https://doi.org/10.3399/bjgp18X695213

Rong G, Mendez A, Bou Assi E, Zhao B, Sawan M. Artificial Intelligence in Healthcare: Review and Prediction Case Studies. Engineering. 2020;6(3):291-301. https://doi.org/10.1016/j.eng.2019.08.015

Laï MC, Brian M, Mamzer MF. Perceptions of artificial intelligence in healthcare: findings from a qualitative survey study among actors in France. J Transl Med. 2020;18(1):1-14. https://doi.org/10.1186/s12967-019-02204-y

Antwi WK, Akudjedu TN, Botwe BO. Artificial intelligence in medical imaging practice in Africa: a qualitative content analysis study of radiographers’ perspectives. Insights Imaging. 2021;12(80):1-9. https://doi.org/10.1186/s13244-021-01028-z

Secinaro S, Calandra D, Secinaro A, et al. The role of artificial intelligence in healthcare: a structured literature review. BMC Med Inform Decis Mak. 2021;21(125):1-23. https://doi.org/10.1186/s12911-021-01488-9

Abdullah R, Fakieh B. Health care employee’s perceptions of the use of artificial intelligence application: survey study. Journal of Medical Internet Research. 2020;22(5):e17620. https://doi.org/10.2196/preprints.17620

Esmaeilzadeh P. Use of AI-based tools for healthcare purposes: a survey study from consumers’ perspectives. BMC Med Inform Decis Mak. 2020;20(170):1-19. https://doi.org/10.1186/s12911-020-01191-1

Taie ES. Artificial intelligence as an innovative approach for investment in the future of healthcare in Egypt. Clinical Nursing Studies. 2020;8(3):1. https://doi.org/10.5430/cns.v8n3p1

Sapci AH, Sapci HA. Artificial Intelligence Education and Tools for Medical and Health Informatics Students: Systematic Review. JMIR Med Educ. 2020;6(1):e19285. https://doi.org/10.2196/19285

Rigamonti L, Estel K, Gehlen T, et al. Use of artificial intelligence in sports medicine: a report of 5 fictional cases. BMC Sports Sci Med Rehabil. 2021;13(13):1-7. https://doi.org/10.1186/s13102-021-00243-x

Li X, Tian D, Li W, Dong B, Wang H, Yuan J, Li B, Shi L, Lin X, Zhao L, Liu S. Artificial intelligence-assisted reduction in patients' waiting time for outpatient process: a retrospective cohort study. BMC Health Serv Res. 2021;21(1):237. https://doi.org/10.1186/s12913-021-06248-z

Muller V, Bostom N. Future progress in artificial intelligence: a survey of expert opinion. AI Matters. 2016;1(1):553-571.

European Commission Report. Artificial intelligence: first quantitative study of its kind find uptake by business across Europe is on the rise. 2020.

Davenport T, Kalakota R. The potential for artificial intelligence in healthcare. Future Healthc J. 2019;6(2):94-98. https://doi.org/10.7861/futurehosp.6-2-94

Samyukatha PS, Geetha RV. Awareness and knowledge about AI in healthcare among doctors: a survey. Clinical Nursing Studies. 2020.

Bush J. How AI is taking the scut work out of health care. Harvard Business Review. 2018.

Rysavy M. Evidence-based medicine: A science of uncertainty and an art of probability. Virtual Mentor. 2013;15:4–8. https://doi.org/10.1001/virtualmentor.2013.15.1.fred1-1301

Publicado

2023-08-03

Cómo citar

1.
T S, Arumugam T, Pandurangan H, Panjaiyan K. Adopción de la Inteligencia Artificial en la Atención Sanitaria: Una perspectiva enfermera. Salud, Ciencia y Tecnología [Internet]. 3 de agosto de 2023 [citado 1 de octubre de 2023];3:510. Disponible en: https://revista.saludcyt.ar/ojs/index.php/sct/article/view/510

Número

Sección

Comunicaciones breves

Categorías