Integrating Artificial Intelligence (AI) in the Healthcare Sector: Innovation, Challenges and the Future
DOI:
https://doi.org/10.29105/vtga10.5-965Keywords:
Artificial Intelligence, Health Management, Technological Innovation, Ethics in AI, Health EntrepreneurshipAbstract
The research analyzed the impact of Artificial Intelligence (AI) on business management in the healthcare sector, highlighting the opportunities and challenges brought about by its implementation. Using a qualitative approach and an exploratory desk review of scientific articles, reports from healthcare organizations, and innovative startups, this study addressed how AI is redefining practices in healthcare, from diagnosis and treatment to administration and entrepreneurship. The results highlighted AI's ability to improve operational efficiency, personalize treatments, and optimize decision-making. However, significant challenges were also identified, such as the need to safeguard data privacy, ensure informed consent, and develop specific competencies in healthcare professionals. The conclusion emphasized AI as a crucial driver of change in the healthcare sector, urging interdisciplinary collaboration to maximize its benefits and tackle ethical and regulatory challenges, ensuring technological development that contributes to overall well-being.
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Andrés Segovia, B. (2021a). El reinicio tecnológico de la inteligencia artificial en el servicio público de salud. IUS ET SCIENTIA, 1(7), 327–356. https://doi.org/10.12795/IETSCIENTIA.2021.I01.17 DOI: https://doi.org/10.12795/IETSCIENTIA.2021.i01.17
Arce Jiménez, C. (2022). El impacto de la inteligencia artificial en el “consentimiento informado” como herramienta de protección de derechos fundamentales en la era digital.
Basáez, E., & Mora, J. (2022). Salud e inteligencia artificial: ¿cómo hemos evolucionado? Revista Médica Clínica Las Condes, 33(6), 556–561. https://doi.org/10.1016/J.RMCLC.2022.11.003 DOI: https://doi.org/10.1016/j.rmclc.2022.11.003
Bohr, A., & Memarzadeh, K. (2021). Inteligencia artificial en el ámbito de la salud. In Elsevier Health Sciences.
Bravo, L., & Bravo, M. (2024). INTELIGENCIA ARTIFICIAL Y EDUCACIÓN DE FUTURO. https://derecho.udd.cl/cdre/files/2024/03/30-miradas-inteligencia-artificial-y-educacion-de-futuro-udd.pdf
Davenport, T., & Kalakota, R. (2019). The potential for artificial intelligence in healthcare. Future Healthcare Journal, 6(2), 94–98. https://doi.org/10.7861/FUTUREHOSP.6-2-94 DOI: https://doi.org/10.7861/futurehosp.6-2-94
Duan, Y., Edwards, J. S., & Dwivedi, Y. K. (2019). Artificial intelligence for decision making in the era of Big Data – evolution, challenges and research agenda. International Journal of Information Management, 48, 63–71. https://doi.org/10.1016/J.IJINFOMGT.2019.01.021 DOI: https://doi.org/10.1016/j.ijinfomgt.2019.01.021
Dwivedi, Y. K., Hughes, L., Ismagilova, E., Aarts, G., Coombs, C., Crick, T., Duan, Y., Dwivedi, R., Edwards, J., Eirug, A., Galanos, V., Ilavarasan, P. V., Janssen, M., Jones, P., Kar, A. K., Kizgin, H., Kronemann, B., Lal, B., Lucini, B., … Williams, M. D. (2021). Artificial Intelligence (AI): Multidisciplinary perspectives on emerging challenges, opportunities, and agenda for research, practice and policy. International Journal of Information Management, 57. https://doi.org/10.1016/J.IJINFOMGT.2019.08.002 DOI: https://doi.org/10.1016/j.ijinfomgt.2019.08.002
Galanos, V. (2019). Exploring expanding expertise: artificial intelligence as an existential threat and the role of prestigious commentators, 2014–2018. Technology Analysis and Strategic Management, 31(4), 421–432. https://doi.org/10.1080/09537325.2018.1518521 DOI: https://doi.org/10.1080/09537325.2018.1518521
Goodman, K. W. (2015). Ethics, medicine, and information technology : intelligent machines and the transformation of health care. Cambridge University Press. DOI: https://doi.org/10.1017/CBO9781139600330
Groh, M., Badri, O., Daneshjou, R., Koochek, A., Harris, C., Soenksen, L. R., Doraiswamy, P. M., & Picard, R. (2024). nature medicine Deep learning-aided decision support for diagnosis of skin disease across skin tones. Nature Medicine |, 30, 573–583. https://doi.org/10.1038/s41591-023-02728-3 DOI: https://doi.org/10.1038/s41591-023-02728-3
Harmon, S. A., Sanford, T. H., Xu, S., Turkbey, E. B., Roth, H., Xu, Z., Yang, D., Myronenko, A., Anderson, V., Amalou, A., Blain, M., Kassin, M., Long, D., Varble, N., Walker, S. M., Bagci, U., Maria Ierardi, A., Stellato, E., Giovanni Plensich, G., … Turkbey, B. (2023). Artificial intelligence for the detection of COVID-19 pneumonia on chest CT using multinational datasets. https://doi.org/10.1038/s41467-020-17971-2 DOI: https://doi.org/10.1038/s41467-020-17971-2
Hernández-Sampieri, R., Fernández-Collado, C., & Pilar-Baptista, L. (2008). Metodología de la Investigación. Vasa, 1–265. http://medcontent.metapress.com/index/A65RM03P4874243N.pdf
Holzinger, A. (2016a). Interactive machine learning for health informatics: when do we need the human-in-the-loop? Brain Informatics, 3(2), 119–131. https://doi.org/10.1007/S40708-016-0042-6 DOI: https://doi.org/10.1007/s40708-016-0042-6
Hood, L., & Auffray, C. (2013). Participatory medicine: A driving force for revolutionizing healthcare. Genome Medicine, 5(12). https://doi.org/10.1186/GM514 DOI: https://doi.org/10.1186/gm514
Issa, H., Sun, T., & Vasarhelyi, M. A. (2016). Research ideas for artificial intelligence in auditing: The formalization of audit and workforce supplementation. Journal of Emerging Technologies in Accounting, 13(2), 1–20. https://doi.org/10.2308/JETA-10511 DOI: https://doi.org/10.2308/jeta-10511
Jiang, F., Jiang, Y., Zhi, H., Dong, Y., Li, H., Ma, S., Wang, Y., Dong, Q., Shen, H., & Wang, Y. (2017). Artificial intelligence in healthcare: Past, present and future. In Stroke and Vascular Neurology (Vol. 2, Issue 4, pp. 230–243). BMJ Publishing Group. https://doi.org/10.1136/svn-2017-000101 DOI: https://doi.org/10.1136/svn-2017-000101
Jiménez Herrera, L. G. (2021). Inteligencia artificial como potencia de herramienta en salud. In Infodir (Issue 36). El autor. http://scielo.sld.cu/scielo.php?script=sci_arttext&pid=S1996-35212021000300018&lng=es&nrm=iso&tlng=es
Lanzagorta-Ortega, D., Carrillo-Pérez, D. L., Carrillo-Esper, R., Lanzagorta-Ortega, D., Carrillo-Pérez, D. L., & Carrillo-Esper, R. (2022). Inteligencia artificial en medicina: presente y futuro. Gaceta Médica de México, 158, 17–21. https://doi.org/10.24875/GMM.M22000688 DOI: https://doi.org/10.24875/GMM.M22000688
Luxton, D. D. (2015). Artificial Intelligence in Behavioral and Mental Health Care. Artificial Intelligence in Behavioral and Mental Health Care, 1–293. https://doi.org/10.1016/C2013-0-12824-3 DOI: https://doi.org/10.1016/B978-0-12-420248-1.00001-5
Medinaceli Díaz, K. I., Martin, M., & Choque, S. (2021). Impacto y regulación de la Inteligencia Artificial en el ámbito sanitario* Artificial Intelligence impact and regulation in the healthcare field. IUS REVISTA DEL DOI: https://doi.org/10.35487/rius.v15i48.2021.745
nbwww.revistareduca.es/index.php/reduca/article/viewFile/7/4C3%B3n%20de%20est%C3%A1ndares%20de%20calidad.pdf
Meskó, B., & Görög, M. (2020). A short guide for medical professionals in the era of artificial intelligence. NPJ Digital Medicine, 3(1). https://doi.org/10.1038/S41746-020-00333-Z DOI: https://doi.org/10.1038/s41746-020-00333-z
Noorbakhsh-Sabet, N., Zand, R., Zhang, Y., & Abedi, V. (2019). Artificial Intelligence Transforms the Future of Health Care. American Journal of Medicine, 132(7), 795–801. https://doi.org/10.1016/J.AMJMED.2019.01.017 DOI: https://doi.org/10.1016/j.amjmed.2019.01.017
Organización Mundial de la Salud. (2021). ÉTICA Y GOBERNANZA DE LA INTELIGENCIA ARTIFICIAL EN EL ÁMBITO DE LA SALUD. World Health Organization. http://apps.who.int/bookorders.
Ortega Gómez, A. M. (2023). La inteligencia artificial como impulso para el emprendimiento sostenible-social en América Latina y el Caribe dentro de la agenda 2030. http://site.curn.edu.co:8080/jspui/handle/123456789/657
Quiroz, T. S., & Heras, F. Las. (2022). Medicina de precisión: rol de la anatomía patológica en diagnóstico y tratamiento personalizado. Revista Médica Clínica Las Condes, 33(1), 36–43. https://doi.org/10.1016/J.RMCLC.2022.01.003 DOI: https://doi.org/10.1016/j.rmclc.2022.01.003
Ramírez Atehortúa, F. H., & Zwerg-Villegas, A. M. (2012). Metodología de la investigación: más que una receta. AD-Minister, 91–111. http://www.redalyc.org/articulo.oa?id=322327350004
Robles-Carrillo, Margarita. (2020). THE GOVERNANCE OF ARTIFICIAL INTELLIGENCE: CONTEXT AND GENERAL FRAMEWORK. Revista Electronica de Estudios Internacionales, 39. https://doi.org/10.17103/REEI.39.07 DOI: https://doi.org/10.17103/reei.39.07
Ruiz, R. B., & Velásquez, J. D. (2023). Inteligencia artificial al servicio de la salud del futuro. Revista Médica Clínica Las Condes, 34(1), 84–91. https://doi.org/10.1016/J.RMCLC.2022.12.001 DOI: https://doi.org/10.1016/j.rmclc.2022.12.001
Silcox, C. (2020). La inteligencia artificial en el sector salud: Promesas y desafíos. La Inteligencia Artificial En El Sector Salud: Promesas y Desafíos. https://doi.org/10.18235/0002845 DOI: https://doi.org/10.18235/0002845
Srivastava, R. (2023). Applications of artificial intelligence multiomics in precision oncology. Journal of Cancer Research and Clinical Oncology, 149(1), 503–510. https://doi.org/10.1007/S00432-022-04161-4/METRICS DOI: https://doi.org/10.1007/s00432-022-04161-4
Stable-Rodriguez, Y. (2023). Desafíos en el uso de la Inteligencia Artificial para el sector salud. Revista Información Científica, 102. https://doi.org/doi.org/10.5281/zenodo.7942911
Topol, E. J. (2019). Deep medicine : how artificial intelligence can make healthcare human again. Basic Books, NY, 378.
Zerón-Gutiérrez, L. E., & Montaño-Fernández, G. (2017). La capacitación del personal de salud y la mejora en la atención*.
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Copyright (c) 2024 Noe Emmanuel Del Real García, Janneth Guadalupe Lugo de los Santos, Jesús Gerardo Cruz-Álvarez
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