Diseño de un modelo de evaluación para adopción tecnológica de hospitales en el contexto de la industria 4.0
| dc.contributor.advisor | Jiménez Builes, Jovani Alberto | |
| dc.contributor.author | Capacho Alfonso, Víctor Hugo | |
| dc.contributor.orcid | Capacho Alonso, Víctor Hugo [009000600667878] | |
| dc.contributor.orcid | Jimenez Builes, Jovani Alberto [0000000175987696] | |
| dc.contributor.orcid | Soto Durán, Dario E. [000000026557844X] | |
| dc.contributor.projectmember | Soto Durán, Dario Enrique | |
| dc.contributor.researchgroup | Inteligencia Artificial en educación | |
| dc.date.accessioned | 2026-02-25T15:45:13Z | |
| dc.date.available | 2026-02-25T15:45:13Z | |
| dc.date.issued | 2025-12-11 | |
| dc.description | Ilustraciones, gráficas | spa |
| dc.description.abstract | Esta tesis de doctorado presenta un modelo de evaluación para la adopción tecnológica de hospitales en el marco de la industria 4.0, centrado en el concepto de Smart Hospital. La investigación subraya la necesidad de que los hospitales optimicen sus procesos administrativos y operativos mediante la integración de tecnologías de la información y comunicación (TIC) y tecnologías inteligentes, las cuales son elementos esenciales de la cuarta revolución industrial. Se enfatiza que la presión demográfica y socioeconómica requiere una transformación continua en la atención médica, destacando el surgimiento de la salud 4.0. Los objetivos del estudio son diversificados; incluyen la caracterización de estándares de tecnologías inteligentes, procesos actuales en el contexto de salud 4.0, y el establecimiento de lineamientos para la adopción tecnológica. Además, se busca validar este modelo a través de la opinión de expertos y un caso de estudio. Se identifica que la falta de un modelo de madurez para hospitales en el contexto de hospitales inteligentes es una oportunidad para contribuir al campo. Finalmente, la investigación aspira a mejorar la planificación y ejecución en la adopción de innovaciones tecnológicas en hospitales, facilitando estándares de calidad en la atención de salud en Colombia. (Texto tomado de la fuente) | spa |
| dc.description.abstract | This PhD thesis presents an evaluation model for the technological adoption of hospitals within the framework of industry 4.0, focused on the concept of Smart Hospital. The research underscores the need for hospitals to optimize their administrative and operational processes by integrating information and communication technologies (ICT) and smart technologies, which are essential elements of the fourth industrial revolution. It is emphasized that demographic and socioeconomic pressure requires a continuous transformation in health care, highlighting the emergence of health 4.0. The objectives of the study are diversified; They include the characterization of smart technology standards, current processes in the context of health 4.0, and the establishment of guidelines for technological adoption. In addition, it seeks to validate this model through the opinion of experts and a case study. The lack of a maturity model for hospitals in the context of smart hospitals is identified as an opportunity to contribute to the field. Finally, the research aims to improve the planning and execution of the adoption of technological innovations in hospitals, facilitating quality standards in health care in Colombia. | eng |
| dc.description.curriculararea | Ingeniería De Sistemas E Informática.Sede Medellín | |
| dc.description.degreelevel | Doctorado | |
| dc.description.degreename | Doctor en Ingeniería | |
| dc.description.methods | La investigación se desarrolló con un enfoque mixto, combinando análisis cualitativo y cuantitativo, y tuvo un carácter aplicado, orientado a resolver una necesidad real del sector salud. Inicialmente se realizó una revisión sistemática de literatura para comprender el estado del arte en tecnologías 4.0, arquitectura empresarial, modelos de madurez y adopción tecnológica en hospitales. A partir de este análisis comparativo se diseñó el modelo de evaluación para adopción tecnológica de hospitales en el contexto de la industria 4.0, integrando dimensiones técnicas, organizacionales, sociales, éticas y legales, estructuradas en las fases de exploración, preparación, implementación y mejora continua. Posteriormente, el modelo fue validado mediante la opinión de expertos y su aplicación en un estudio de caso en una institución de salud, lo que permitió evaluar su pertinencia y utilidad práctica. Finalmente, se formularon lineamientos de mejora continua para apoyar a los hospitales en la evaluación y fortalecimiento de su nivel de adopción tecnológica en el contexto de la Industria 4.0. | |
| dc.description.researcharea | Tecnologías emergentes en salud | |
| dc.format.extent | 1 recurso en líne (227 páginas) | |
| dc.format.mimetype | application/pdf | |
| dc.identifier.instname | Universidad Nacional de Colombia | spa |
| dc.identifier.reponame | Repositorio Institucional Universidad Nacional de Colombia | spa |
| dc.identifier.repourl | https://repositorio.unal.edu.co/ | spa |
| dc.identifier.uri | https://repositorio.unal.edu.co/handle/unal/89678 | |
| dc.language.iso | spa | |
| dc.publisher | Universidad Nacional de Colombia | |
| dc.publisher.branch | Universidad Nacional de Colombia - Sede Medellín | |
| dc.publisher.faculty | Facultad de Minas | |
| dc.publisher.place | Medellín, Colombia | |
| dc.publisher.program | Medellín - Minas - Doctorado en Ingeniería - Sistemas | |
| dc.relation.references | Abdulkareem, K. H., Mohammed, M. A., Salim, A., Arif, M., Geman, O., Gupta, D., & Khanna, A. (2021). Realizing an Effective COVID-19 Diagnosis System Based on Machine Learning and IoT in Smart Hospital Environment. IEEE Internet of Things Journal, 8(21), 15919–15928. https://doi.org/10.1109/JIOT.2021.3050775 | |
| dc.relation.references | Adame, T., Bel, A., Carreras, A., Melì A-Seguí, J., Oliver, M., & Pous, R. (2016). CUIDATS: An RFID-WSN hybrid monitoring system for smart health care environments. http://www.upf.edu/ | |
| dc.relation.references | Ahad, A., Tahir, M., Sheikh, M. A., Ahmed, K. I., Mughees, A., & Numani, A. (2020). Technologies trend towards 5g network for smart health-care using iot: A review. Sensors (Switzerland), 20(14), 1–22. https://doi.org/10.3390/s20144047 | |
| dc.relation.references | Ahsan, K., Shah, H., & Kingston, P. (2010). Healthcare modelling through enterprise architecture: A hospital case. ITNG2010 - 7th International Conference on Information Technology: New Generations, 460–465. https://doi.org/10.1109/ITNG.2010.190 | |
| dc.relation.references | Al-Jaroodi, J., Mohamed, N., & Abukhousa, E. (2020). Health 4.0: On the Way to Realizing the Healthcare of the Future. IEEE Access, 8, 211189–211210. https://doi.org/10.1109/ACCESS.2020.3038858 | |
| dc.relation.references | Ben Ida, I., Balti, M., Chaabane, S., & Jemai, A. (2021). Adaptative vital signs monitoring system based on the early warning score approach in smart hospital context. IET Smart Cities, 3(1), 16–28. https://doi.org/10.1049/smc2.12004 | |
| dc.relation.references | Capacho-Alfonso, V. H., Jiménez-Builes, J. A., & Soto-Duran, D. E. (2025). Aspects of enterprise architecture in emerging technologies, smart cities and the health sector: a bibliometric study. Salud, Ciencia y Tecnologia, 5. https://doi.org/10.56294/saludcyt20251656 | |
| dc.relation.references | Capacho-Alfonso, V. H., Soto-Durán, D. E., & Jiménez Builes, J. A. (2023). Status of the Implementation of Emerging Technologies Applied to Health and Smart Hospitals: A Literature Review. Revista Iberica de Sistemas e Tecnologias de Informacao, 2023(E58), 372–386. | |
| dc.relation.references | Capacho-Alfonso, V. H., Soto-Durán, D. E., & Jimenez-Builes, J. A. (2025). An exploration of health technology adoption and evaluation methodologies. Human Behavior and Emerging Technologies. https://doi.org/10.1155/hbe2/2989345 | |
| dc.relation.references | Capacho-Alfonso, V. H., Soto-Durán, D. E., & Jiménez-Builes, J. A. (2025). Health technology adoption model for big data integration in hospitals: a systematic approach in the era of health 4.0. Health Services and Outcomes Research Methodology. https://doi.org/10.1007/s10742-025-00345-w | |
| dc.relation.references | Carvalho, J. V., Rocha, Á., & Abreu, A. (2016). Maturity Models of Healthcare Information Systems and Technologies: a Literature Review. Journal of Medical Systems, 40(6). https://doi.org/10.1007/s10916-016-0486-5 | |
| dc.relation.references | Carvalho, J. V., Rocha, Á., & Abreu, A. (2017). HISMM - Hospital information system maturity model: A synthesis. Advances in Intelligent Systems and Computing, 537, 189–200. https://doi.org/10.1007/978-3-319-48523-2_18 | |
| dc.relation.references | Carvalho, J. V., Rocha, Á., Vasconcelos, J., & Abreu, A. (2019). A health data analytics maturity model for hospitals information systems. International Journal of Information Management, 46, 278–285. https://doi.org/10.1016/j.ijinfomgt.2018.07.001 | |
| dc.relation.references | Carvalho, J. V, Rocha, Á., & Vasconcelos, J. B. (2015). Hospital Information Systems Management: Towards a comprehensive Maturity Model. https://www.researchgate.net/publication/276918040 | |
| dc.relation.references | Colegio Oficial de Ingenieros de Madrid. (2020). Libro Blanco del SMART HOSPITAL. | |
| dc.relation.references | Duarte, N., Bareño, R., & Forero, N. (2016). Análisis comparativo de metodologías en arquitectura de la información aplicadas a contextos empresariales. Ingenio Magno, 7(1), 34–44. | |
| dc.relation.references | Estrada - Orozco, K., Cortés-Muñoz, A., León - Guzman, E., Osorio- Arango, L., Ospina- Lizarazo, N., Pinilla- Forero, M., Segura- Sandino, D., & Sierra.Matamoros, F. (2022). MANUAL METODOLÓGICO Manual metodológico para la elaboración de evaluaciones de efectividad clínica, seguridad y validez diagnóstica de tecnologías en salud (2nd ed., Vol. 2). | |
| dc.relation.references | ETSI GR ENI 004. (2019). GR ENI 004 - V2.1.1 - Experiential Networked Intelligence (ENI); Terminology for Main Concepts in ENI. https://portal.etsi.org/TB/ETSIDeliverableStatus.aspx | |
| dc.relation.references | Girsang, A. S., & Abimanyu, A. (2021). Development of an enterprise architecture for healthcare using togaf adm. Emerging Science Journal, 5(3), 305–321. https://doi.org/10.28991/esj-2021-01278 | |
| dc.relation.references | ITU-T Rec. Y.3601. (2018). Big data – Framework and requirements for data exchange. http://handle.itu.int/11.1002/1000/ | |
| dc.relation.references | Kao, Y. S., Nawata, K., & Huang, C. Y. (2019). An exploration and confirmation of the factors influencing adoption of IoT-based wearable fitness trackers. International Journal of Environmental Research and Public Health, 16(18). https://doi.org/10.3390/ijerph16183227 | |
| dc.relation.references | ITU-T Y.3600. (2012). Big data –Cloud computing based requirements and capabilities Recommendation ITU-T Y.3600. http://handle.itu.int/11.1002/1000/11 | |
| dc.relation.references | Kotusev, S. (2021). A Comparison of the Top Four Enterprise Architecture Frameworks. In British Computer Society (BCS). https://www.bcs.org/articles-opinion-and-research/a-comparison-of-thetop- four-enterprise-architecture-frameworks/ | |
| dc.relation.references | Kukhareva, P. V., Weir, C., Del Fiol, G., Aarons, G. A., Taft, T. Y., Schlechter, C. R., Reese, T. J., Curran, R. L., Nanjo, C., Borbolla, D., Staes, C. J., Morgan, K. L., Kramer, H. S., Stipelman, C. H., Shakib, J. H., Flynn, M. C., & Kawamoto, K. (2022). Evaluation in Life Cycle of Information Technology (ELICIT) framework: Supporting the innovation life cycle from business case assessment to summative evaluation. Journal of Biomedical Informatics, 127. https://doi.org/10.1016/j.jbi.2022.104014 | |
| dc.relation.references | Kwon, H., An, S., Lee, H. Y., Cha, W. C., Kim, S., Cho, M., & Kong, H. J. (2022). Review of Smart Hospital Services in Real Healthcare Environments. In Healthcare Informatics Research (Vol. 28, Issue 1, pp. 3–15). Korean Society of Medical Informatics. https://doi.org/10.4258/hir.2022.28.1.3 | |
| dc.relation.references | Lestari, V. N. S., Rahim, R., Nguyen, P. T., Hashim, W., & Maseleno, A. (2019). Smart health records. International Journal of Engineering and Advanced Technology, 8(6 Special Issue 2), 986–989. https://doi.org/10.35940/ijeat.F1300.0886S219 | |
| dc.relation.references | Lin, C. L., Chen, J. K. C., & Ho, H. H. (2021). Bim for smart hospital management during covid-19 using mcdm. Sustainability (Switzerland), 13(11). https://doi.org/10.3390/su13116181 | |
| dc.relation.references | Lizcano-Jaramillo, P. A., & Camacho-Cogollo, J. E. (2019). Assessment of health technologies: A hospital approach for the incorporation of medical devices. Revista Mexicana de Ingenieria Biomedica, 40(3). https://doi.org/10.17488/RMIB.40.3.10 | |
| dc.relation.references | Lnenicka, M., & Komarkova, J. (2019). Developing a government enterprise architecture framework to support the requirements of big and open linked data with the use of cloud computing. International Journal of Information Management, 46, 124–141. https://doi.org/10.1016/j.ijinfomgt.2018.12.003 | |
| dc.relation.references | MIN TIC. (2021). Modelo De Medición De Madurez De Ciudades Y Territorios Inteligentes Para Colombia-MMMCTIC. | |
| dc.relation.references | Moullin, J. C., Dickson, K. S., Stadnick, N. A., Rabin, B., & Aarons, G. A. (2019). Systematic review of the Exploration, Preparation, Implementation, Sustainment (EPIS) framework. In Implementation Science (Vol. 14, Issue 1). BioMed Central Ltd. https://doi.org/10.1186/s13012-018-0842-6 | |
| dc.relation.references | Olsen, D. H. (2017). Enterprise Architecture management challenges in the Norwegian health sector. Procedia Computer Science, 121, 637–645. https://doi.org/10.1016/j.procs.2017.11.084 | |
| dc.relation.references | Osei-Tutu, K., & Song, Y. T. (2020). Enterprise architecture institutionalization for Health Information Exchange (HIE) cloud migration. Advances in Science, Technology and Engineering Systems, 5(5), 680–691. https://doi.org/10.25046/AJ050584 | |
| dc.relation.references | Palos-Sanchez, P., Reyes-Menendez, A., & Saura, J. R. (2019). Models of adoption of information technology and cloud computing in organizations. Informacion Tecnologica, 30(3), 3–12. https://doi.org/10.4067/S0718-07642019000300003 | |
| dc.relation.references | Purnawan, D. A., & Surendro, K. (2016, September 19). Building enterprise architecture for hospital information system. 2016 4th International Conference on Information and Communication Technology, ICoICT 2016. https://doi.org/10.1109/ICoICT.2016.7571907 | |
| dc.relation.references | Rodríguez, L., Gonçalves, I., Fé, I., Endo, P. T., & Silva, F. A. (2021). Performance and availability evaluation of an smart hospital architecture. Computing, 103(10), 2401–2435. https://doi.org/10.1007/s00607-021-00979-x | |
| dc.relation.references | Said, A. M., Yahyaoui, A., & Abdellatif, T. (2021). Efficient anomaly detection for smart hospital iot systems. Sensors (Switzerland), 21(4), 1–24. https://doi.org/10.3390/s21041026 | |
| dc.relation.references | Sembiring, J., Nuryatno, E. T., & Gondokaryono, Y. S. (2011). Analyzing the Indicators and Requirements in Main Components of Enterprise Architecture Methodology Development using Grounded Theory in Qualitative Methods. 2011–2197. http://ssrn.com/abstract=1867875Electroniccopyavailableat:http://ssrn.com/abstract=1867875Electroniccopyavailableat:http://ssrn.com/abstract=1867875 | |
| dc.relation.references | Sorte, P., Golande, A., Yermalkar, A., Suryawanshi, V., Wanjare, U., & Satpute, S. (2019). Smart hospital for heart disease prediction using IoT. International Journal of Innovative Technology and Exploring Engineering, 8(9), 321–326. https://doi.org/10.35940/ijitee.h6648.078919 | |
| dc.relation.references | Suárez Fernández, P., Beatriz, M., & Abreu, I. (2017). Análisis del modelo de madurez de arquitectura empresarial. Revista Cubana de Ingenieria, 8(3), 9–16. https://www.researchgate.net/publication/336313085 | |
| dc.relation.references | Takeuchi, H., & Yamamoto, S. (2019). AI service system development using enterprise architecture modeling. Procedia Computer Science, 159, 923–932. https://doi.org/10.1016/j.procs.2019.09.259 | |
| dc.relation.references | The International Network of Agencies for Health Technology Assessment. (2009, November 1). GLOSARIO DE TERMINOS HTA. http://htaglossary.net/Listado-de-t%C3%A9rminos | |
| dc.relation.references | Tonato, C., & Sinche, S. (2022). Análisis comparativo entre arquitecturas de sistemas IoT. Revista de Investigación En Tecnologías de La Información, 10(21), 55–70. https://doi.org/10.36825/riti.10.21.006 | |
| dc.relation.references | Tontini, G., de Carvalho, L. C., Schlindwein, N. F. da C., & Tomarevski, V. (2016). Maturity model of procurement and supply management in small and medium-size enterprises: A benchmarking of hospitals and metal-mechanic companies. International Journal of Quality and Service Sciences, 8(3), 315–333. https://doi.org/10.1108/IJQSS-04-2016-0036 | |
| dc.relation.references | UIT. (2016). UIT-T Rec. Y.2060 (06/2012)/Y.4000(02/2016) Descripción general de Internet de los objetos. http://handle.itu.int/11.1002/1000/11830-en. | |
| dc.relation.references | UIT-T Y.3500. (2014). RECOMENDACIÓN UIT-T Y.3500 Tecnología de la información –Computación en la nube –Descripción general y vocabulario. http://handle.itu.int/11.1002/1000/11830-en. | |
| dc.relation.references | Uslu, B. Ç., Okay, E., & Dursun, E. (2020). Analysis of factors affecting IoT-based smart hospital design. Journal of Cloud Computing, 9(1). https://doi.org/10.1186/s13677-020-00215-5 | |
| dc.relation.references | Valamede, L. S., & Santos Akkari, A. C. (2021). Health 4.0: A Conceptual Approach to Evaluate the Application of Digital Technologies in the Healthcare Field. Smart Innovation, Systems and Technologies, 233, 17–24. https://doi.org/10.1007/978-3-030-75680-2_3 | |
| dc.relation.references | Vidal, F. T., Guerrero, J. G., & Sánchez, D. M. (2018, December 28). Enterprise Architecture to improve the outsourcing of health services in the social insurance of Peru. Proceedings of the 2018 IEEE 38th Central America and Panama Convention, CONCAPAN 2018. https://doi.org/10.1109/CONCAPAN.2018.8596481 | |
| dc.rights.accessrights | info:eu-repo/semantics/openAccess | |
| dc.rights.license | Atribución-NoComercial 4.0 Internacional | |
| dc.rights.uri | http://creativecommons.org/licenses/by-nc/4.0/ | |
| dc.subject.ddc | 000 - Ciencias de la computación, información y obras generales::003 - Sistemas | |
| dc.subject.ddc | 360 - Problemas y servicios sociales; asociaciones::363 - Otros problemas y servicios sociales | |
| dc.subject.lemb | Administración de servicios de salud | |
| dc.subject.proposal | Modelo de adopción de tecnología en salud | spa |
| dc.subject.proposal | Adopción de tecnología en salud | spa |
| dc.subject.proposal | Evaluación de tecnología en salud | spa |
| dc.subject.proposal | Adopción de tecnología hospitalaria | spa |
| dc.subject.proposal | Marco de salud 4.0. | spa |
| dc.subject.proposal | Health technology acquisition model | eng |
| dc.subject.proposal | Health technology adoption | eng |
| dc.subject.proposal | Health technology assessment | eng |
| dc.subject.proposal | Hospital technology adoption | eng |
| dc.subject.proposal | Health framework 4.0 | eng |
| dc.subject.wikidata | Tecnologías emergentes | |
| dc.title | Diseño de un modelo de evaluación para adopción tecnológica de hospitales en el contexto de la industria 4.0 | spa |
| dc.title.translated | Design of an evaluation model for technological adoption of hospitals in the context of industry 4.0 | eng |
| dc.type | Trabajo de grado - Doctorado | |
| dc.type.coar | http://purl.org/coar/resource_type/c_db06 | |
| dc.type.coarversion | http://purl.org/coar/version/c_ab4af688f83e57aa | |
| dc.type.content | Text | |
| dc.type.driver | info:eu-repo/semantics/doctoralThesis | |
| dc.type.redcol | http://purl.org/redcol/resource_type/TD | |
| dc.type.version | info:eu-repo/semantics/acceptedVersion | |
| dcterms.audience.professionaldevelopment | Investigadores | |
| oaire.accessrights | http://purl.org/coar/access_right/c_abf2 | |
| oaire.awardtitle | Ministerio de Ciencia, Tecnología e Innovación de la República de Colombia “Becas para la Excelencia Doctoral” (Cohorte II) | |
| oaire.fundername | Ministerio de Ciencia, Tecnología e Innovación de la República de Colombia |
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