Impact Of Ia Chatbots On Healthcare Services Management
DOI:
https://doi.org/10.61799/2216-0388.1730Keywords:
Artificial Intelligence, Chatbot, Patient Care, Service ManagementAbstract
The main objective of the study is to evaluate the impact of Artificial Intelligence (AI) Chatbots on the efficiency and quality of service management at Fundación Divino Niño. The study is qualitative and uses a field research design. It also focuses on describing the indicators of service management in this health institution, after having previously evaluated the AI Chatbots platforms and selected the one that best suits the needs of patient information requests considering the technical criteria. The results indicate that the implementation of AI Chatbots significantly improved efficiency in service management, response times were reduced by 40%, and user satisfaction increased by 25%. In addition, a decrease in operational costs was observed due to the automation of repetitive tasks by the people in charge of attending patients through WhatsApp and Social Media channels. User satisfaction increased notably and they provide a more satisfactory and personalized customer service experience, achieving a reduction in operating costs, freeing up resources that can be allocated to other critical areas of the Fundación Divino Niño. Finally, the impact has a significant impact by offering a sustainable and scalable solution for service management, which is especially beneficial for non-profit organizations.
Downloads
References
[1] S. Russell y P. Norvig, Artificial Intelligence: A Modern Approach (4th ed.), Editorial Pearson, Londres, 2020. https://www-formal.stanford.edu/jmc/whatisai/
[2] E. Topol, Deep Medicine: How AI Can Make Healthcare Human Again, Editorial Basic Books, Nueva York, 2019.
[3] M. A. Henao-Gómez, Y. C. Ureña-Villamizar, Z. C. Nieto-Sánchez, M. E. Castellanos-Adarme, y E. L. Fernández-Nieto, “Neurobótica: herramienta para el aprendizaje acelerado en escenarios educativos”, Mundo Fesc, vol. 11, no. S2, pp. 371–384, 2024.
[4] S. Mondragón, Ó. Ramírez, y J. Sinisterra, “Telemedicina como alternativa efectiva para garantizar el derecho fundamental a la salud en época de pospandemia”, en Tendencias en la Investigación Universitaria. Una visión desde Latinoamérica, Y. Chirinos, A. Ramírez, R. Godínez, N. Barbera, y D. Rojas (Eds.), Vol. XXV, Fondo Editorial Universitario Servando Garcés, 2024. https://doi.org/10.47212/tendencias2024vol.xxv.7
[5] R. Bashshur, et al., “The empirical foundations of telemedicine interventions”, Telemedicine and e-Health, 22(2), pp. 87–113, 2016. https://doi.org/10.1089/tmj.2016.0045
[6] L. Laranjo, et al., “Conversational agents in healthcare”, Journal of Medical Internet Research, 20(9), e119, 2018.
[7] A. S. Miner, et al., “Conversational agents in healthcare”, JMIR, 22(8), e20346, 2020. https://doi.org/10.2196/17158
[8] E. Bohórquez, et al., “Chatbots in healthcare: A practical guide”, Health Informatics Journal, 27(1), pp. 1–15, 2021.
[9] R. Wachter, The Digital Doctor: Hope, Hype, and Harm at the Dawn of Medicine’s Computer Age, McGraw-Hill Education, EE.UU., 2015.
[10] T. L. Mitzner, et al., “Older adults’ needs for chatbots”, Journal of Gerontechnology, 18(2), pp. 103–113, 2019.
[11] T. H. Davenport y R. Ronanki, “AI for the real world”, Harvard Business Review, 96(1), pp. 108–116, 2018. https://doi.org/10.70838/pemj.360301
[12] T. Nadarzinski, et al., “Chatbots for sexual health”, JMIR, 24(3), e15167, 2022.
[13] A. Bohr y K. Memarzadeh, “The Rise of AI in Healthcare Applications”, Elsevier, 2020. https://doi.org/10.1016/B978-0-12-818438-7.00002-2
[14] Gartner, Multichannel vs. omnichannel in healthcare, Gartner Research, Connecticut, EE.UU., 2023.
[15] A. Parasuraman, et al., “SERVQUAL”, Journal of Retailing, 64(1), pp. 12–40, 1988. [En línea] https://www.researchgate.net/publication/200827786_SERVQUAL_A_Multiple-item_Scale_for_Measuring_Consumer_Perceptions_of_Service_Quality
[Acceso: 5-8-24]
[16] G. L. Kreps y L. Neuhauser, “Digital storytelling in health”, Health Communication, 34(12), pp. 1413–1424, 2019. https://doi.org/10.1177/16094069221111118
[17] E. Zapata-Tobón, M. Ramírez-Ortiz, N. Jones-Castilla y S. Quintero-Arrubla, “Percepciones de maestros sobre la investigación escolar y su relación con las experiencias educativas en un colegio de Medellín”, Revista Temario Científico, 3, 2023. https://doi.org/10.47212/rtcAlinin.1.123
[18] T. De Jongh, I. Gurol-Urganci, V. Vodopivec-Jamsek, J. Car, y R. Atun, “Mobile phone messaging for facilitating self-management of long-term illnesses”, The Cochrane database of systematic reviews, 12(12), CD007459, 2012. https://doi.org/10.1002/14651858.CD007459.pub2
[19] J. W. Creswell y V. L. Plano Clark, Designing and Conducting Mixed Methods Research (3.a ed.), Sage, Thousand Oaks, CA, EE. UU., 2018.
[20] A. Strauss y J. Corbin, Basics of Qualitative Research, Thousand Oaks, Sage, 1998.
[21] M. Q. Patton, Qualitative Research & Evaluation Methods, Thousand Oaks, Sage, 2002.
[22] V. Braun y V. Clarke, “Thematic analysis”, Qualitative Research in Psychology, 3(2), pp. 77–101, 2006. https://doi.org/10.1191/1478088706qp063oa
Downloads
Published
Issue
Section
License
Copyright (c) 2025 Mundo FESC Journal

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

