Modelo de gestión de datos en salud para la toma de decisiones operacionales
El siguiente documento contiene información acerca de las bases teóricas y razones detrás de la realización de un proyecto que busca la creación de un modelo de gestión de datos para tener un mejor control de la gestión operacional en los procesos de las instituciones prestadoras de salud. También s...
- Autores:
-
Suarez Zubieta, Yerson
- Tipo de recurso:
- Trabajo de grado de pregrado
- Fecha de publicación:
- 2023
- Institución:
- Universidad Santo Tomás
- Repositorio:
- Repositorio Institucional USTA
- Idioma:
- spa
- OAI Identifier:
- oai:repository.usta.edu.co:11634/51076
- Acceso en línea:
- http://hdl.handle.net/11634/51076
- Palabra clave:
- Ingeniería industrial
Ingeniería de sistemas
Ergonomía
- Rights
- openAccess
- License
- Atribución-NoComercial-SinDerivadas 2.5 Colombia
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Modelo de gestión de datos en salud para la toma de decisiones operacionales |
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Modelo de gestión de datos en salud para la toma de decisiones operacionales |
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Modelo de gestión de datos en salud para la toma de decisiones operacionales Ingeniería industrial Ingeniería de sistemas Ergonomía |
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Modelo de gestión de datos en salud para la toma de decisiones operacionales |
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Modelo de gestión de datos en salud para la toma de decisiones operacionales |
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Modelo de gestión de datos en salud para la toma de decisiones operacionales |
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Modelo de gestión de datos en salud para la toma de decisiones operacionales |
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Modelo de gestión de datos en salud para la toma de decisiones operacionales |
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Suarez Zubieta, Yerson |
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Parra Riveros, Helien Ospina López, Diana Yomali |
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Suarez Zubieta, Yerson |
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Universidad Santo Tomás |
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Ingeniería industrial Ingeniería de sistemas Ergonomía |
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Ingeniería industrial Ingeniería de sistemas Ergonomía |
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El siguiente documento contiene información acerca de las bases teóricas y razones detrás de la realización de un proyecto que busca la creación de un modelo de gestión de datos para tener un mejor control de la gestión operacional en los procesos de las instituciones prestadoras de salud. También se describe la metodología y herramientas que se utilizarán para llevar a cabo el proyecto en un marco de trabajo enfocado en la Sociedad de Cirugía Hospital San José (HSJ), con el objetivo de brindar una serie de pautas y políticas para la gestión de datos que impacte de manera directa la toma de decisiones dentro de la institución. Además, se presenta un cronograma detallado de cinco meses que expone las diferentes actividades que se deben ejecutar para cumplir con los objetivos específicos y, por ende, el objetivo general, generando un impacto positivo en la institución. |
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2023-07-06T14:56:45Z |
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2023-07-05 |
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Suarez Zubieta, Y. (2023). Modelo de gestión de datos en salud para la toma de decisiones operacionales. [Trabajo de grado, Universidad Santo Tomás]. Repositorio institucional. |
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Suarez Zubieta, Y. (2023). Modelo de gestión de datos en salud para la toma de decisiones operacionales. [Trabajo de grado, Universidad Santo Tomás]. Repositorio institucional. reponame:Repositorio Institucional Universidad Santo Tomás instname:Universidad Santo Tomás repourl:https://repository.usta.edu.co |
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H. Parra, S. Moreno and D. Ospina, “Modelo de gobernanza de datos para la gestión de operaciones en instituciones prestadoras de servicios de salud. Propuesta de Proyecto de investigacion,” 2022. Sap, “¿Qué es la gestión de datos?,” 2022. https://www.sap.com/latinamerica/insights/what-is-data-management.html (accessed Jan. 31, 2023). Tu Dashboard, “Gestión de datos de salud. Retos y oportunidades de mejora,” 2019. https://tudashboard.com/gestion-de-datos-de-salud (accessed Jan. 31, 2023). D. D. Dobrzykowski and K. L. McFadden, “Examining Governance in Hospital Operations: The Effects of Trust and Physician Employment in Achieving Efficiency and Patient Satisfaction,” Decis. Sci., vol. 51, no. 1, pp. 74–109, 2020, doi: 10.1111/deci.12414. T. M. Amaral and A. P. C. Costa, “Improving decision-making and management of hospital resources: An application of the PROMETHEE II method in an Emergency Department,” Oper. Res. Heal. Care, vol. 3, no. 1, pp. 1–6, 2014, doi: https://doi.org/10.1016/j.orhc.2013.10.002. B. Feng, P. He, P. Li, H. Yao, Y. Ji, and J. He, “Developing a smart healthcare framework with an ‘Aboriginal lens,’” Procedia Comput. Sci., vol. 162, pp. 347–354, 2019, doi: https://doi.org/10.1016/j.procs.2019.11.294. Ministerio de Salud de Perú., “INDICADORES DE GESTIÓN Y EVALUACIÓN HOSPITALARIA, PARA HOSPITALES, INSTITUTOS Y DIRESA.” 2020, [Online]. Available: http://bvs.minsa.gob.pe/local/MINSA/2739.pdf. A. A. Kawu, L. Hederman, D. O’Sullivan, and J. Doyle, “Patient generated health data and electronic health record integration, governance and socio-technical issues: A narrative review,” Informatics Med. Unlocked, p. 101153, 2022, doi: https://doi.org/10.1016/j.imu.2022.101153. F. Colombo, J. Oderkirk, and L. Slawomirski, “Health Information Systems, Electronic Medical Records, and Big Data in Global Healthcare: Progress and Challenges in OECD Countries,” in Handbook of Global Health, 2020. F. Costantini and G. Soncini, “Healthcare data governance in the EU: Main challenges in personal data protection,” in Endorobotics: Design, R and D and Future Trends, 2022, pp. 319–336. S. Alofaysan, B. Alhaqbani, R. Alseghayyir, and M. Omar, “The significance of data governance in healthcare: A case study in a tertiary care hospital,” in HEALTHINF 2014 - 7th International Conference on Health Informatics, Proceedings; Part of 7th International Joint Conference on Biomedical Engineering Systems and Technologies, BIOSTEC 2014, 2014, pp. 178–187, doi: 10.5220/0004738101780187. P. D. König, “Citizen-centered data governance in the smart city: From ethics to accountability,” Sustain. Cities Soc., vol. 75, p. 103308, 2021, doi: https://doi.org/10.1016/j.scs.2021.103308. J. Bowles, R. M. Czekster, and T. Webber, “Annotated BPMN models for optimised healthcare resource planning,” Lect. Notes Comput. Sci. (including Subser. Lect. Notes Artif. Intell. Lect. Notes Bioinformatics), vol. 11176 LNCS, pp. 146–162, 2018, doi: 10.1007/978-3-030-04771-9_12. F. Ruiz et al., “Business process modeling in healthcare,” Stud. Health Technol. Inform., vol. 179, pp. 75–87, 2012, doi: 10.3233/978-1-61499-086-4-75. S. de Lusignan et al., “Business Process Modelling is an Essential Part of a Requirements Analysis. Contribution of EFMI Primary Care Working Group,” Yearb. Med. Inform., vol. 7, 2012, doi: 10.1055/s-0038-1639428. K. Kendall and J. Kendall, Análisis y Diseño de Sistemas. 2011. S. Agostinelli, F. Covino, G. D’Agnese, C. De Crea, F. Leotta, and A. Marrella, “Supporting governance in healthcare through process mining: A case study,” IEEE Access, vol. 8, pp. 186012–186025, 2020, doi: 10.1109/ACCESS.2020.3030318. K. E. Alhajaj and I. A. Moonesar, “The power of big data mining to improve the health care system in the United Arab Emirates,” J. Big Data, vol. 10, no. 1, 2023, doi: 10.1186/s40537-022-00681-5. N. Bhansali, Data governance creating value from information assets. 2013. A. Bhardwaj and W. Singh, “Systematic review of big data analytics in governance,” in Proceedings of the International Conference on Intelligent Sustainable Systems, ICISS 2017, 2018, pp. 501–506, doi: 10.1109/ISS1.2017.8389462. D. Birnbaum, E. Borycki, B. T. Karras, E. Denham, and P. Lacroix, “Addressing public health informatics patient privacy concerns,” Clin. Gov., vol. 20, no. 2, pp. 91–100, 2015, doi: 10.1108/CGIJ-05-2015-0013. D. Allen, “From boundary concept to boundary object: The practice and politics of care pathway development,” Soc. Sci. Med., vol. 69, no. 3, pp. 354–361, 2009, doi: 10.1016/j.socscimed.2009.05.002. M. Nehemia and T. Zondani, “The use of an enterprise architecture framework to guide the management of big data in health organisations,” in Empowering Businesses With Collaborative Enterprise Architecture Frameworks, 2020, pp. 39–50. N. Cozzoli, F. P. Salvatore, N. Faccilongo, and M. Milone, “How can big data analytics be used for healthcare organization management? Literary framework and future research from a systematic review,” BMC Health Serv. Res., vol. 22, no. 1, 2022, doi: 10.1186/s12913-022-08167-z. N. Haliasos, K. Rezajooi, K. S. O’Neill, J. Van Dellen, A. Hudovsky, and S. Nouraei, “Financial and clinical governance implications of clinical coding accuracy in neurosurgery: A multidisciplinary audit,” Br. J. Neurosurg., vol. 24, no. 2, pp. 191–195, 2010, doi: 10.3109/02688690903536595. A. Dasgupta, A. Gill, and F. Hussain, “A conceptual framework for data governance in IoT-enabled digital IS ecosystems,” in DATA 2019 - Proceedings of the 8th International Conference on Data Science, Technology and Applications, 2019, pp. 209–216, doi: 10.5220/0007924302090216. L. Jones, L. Pomeroy, G. Robert, S. Burnett, J. E. Anderson, and N. J. Fulop, “How do hospital boards govern for quality improvement? A mixed methods study of 15 organisations in England,” BMJ Qual. Saf., vol. 26, no. 12, pp. 978–986, 2017, doi: 10.1136/bmjqs-2016-006433. B. Ristevski, S. Savoska, and N. Blazheska-Tabakovska, “Opportunities for big data analytics in healthcare information systems development for decision support,” in CEUR Workshop Proceedings, 2020, vol. 2656, pp. 38–50, [Online]. Available: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85090881954&partnerID=40&md5=48244058e48378ceae08894562f13d53. L. J. Basile, N. Carbonara, R. Pellegrino, and U. Panniello, “Business intelligence in the healthcare industry: The utilization of a data-driven approach to support clinical decision making,” Technovation, p. 102482, 2022, doi: https://doi.org/10.1016/j.technovation.2022.102482. J.-I. Ker, Y. Wang, and N. Hajli, “Examining the impact of health information systems on healthcare service improvement: The case of reducing in patient-flow delays in a U.S. hospital,” Technol. Forecast. Soc. Change, vol. 127, pp. 188–198, 2018, doi: https://doi.org/10.1016/j.techfore.2017.07.013. H. van der Aa, H. Leopold, K. Batoulis, M. Weske, and H. A. Reijers, “Integrated process and decision modeling for data-driven processes,” Lecture Notes in Business Information Processing, vol. 256, pp. 405–417, 2016, doi: 10.1007/978-3-319-42887-1_33/COVER. E. Bazhenova, F. Zerbato, B. Oliboni, and M. Weske, “From BPMN process models to DMN decision models,” Inf Syst, vol. 83, pp. 69–88, Jul. 2019, doi: 10.1016/J.IS.2019.02.001. Y. Kirikkayis, F. Gallik, and M. Reichert, “Modeling, Executing and Monitoring IoT-Driven Business Rules with BPMN and DMN: Current Support and Challenges”. K. Batoulis, A. Meyer, E. Bazhenova, G. Decker, M. Weske, Extracting decision logicfrom process models, en: Actas de la 27.ª Conferencia Internacional sobre Ingeniería de Sistemas de Información Avanzada (CAiSE), en: Apuntes de conferencias en informática, vol. 9097, Springer, 2015, págs. 349–366, http: //dx.doi.org/10.1007/9783319190693_22. |
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Parra Riveros, HelienOspina López, Diana YomaliSuarez Zubieta, YersonUniversidad Santo Tomás2023-07-06T14:56:45Z2023-07-06T14:56:45Z2023-07-05Suarez Zubieta, Y. (2023). Modelo de gestión de datos en salud para la toma de decisiones operacionales. [Trabajo de grado, Universidad Santo Tomás]. Repositorio institucional.http://hdl.handle.net/11634/51076reponame:Repositorio Institucional Universidad Santo Tomásinstname:Universidad Santo Tomásrepourl:https://repository.usta.edu.coEl siguiente documento contiene información acerca de las bases teóricas y razones detrás de la realización de un proyecto que busca la creación de un modelo de gestión de datos para tener un mejor control de la gestión operacional en los procesos de las instituciones prestadoras de salud. También se describe la metodología y herramientas que se utilizarán para llevar a cabo el proyecto en un marco de trabajo enfocado en la Sociedad de Cirugía Hospital San José (HSJ), con el objetivo de brindar una serie de pautas y políticas para la gestión de datos que impacte de manera directa la toma de decisiones dentro de la institución. Además, se presenta un cronograma detallado de cinco meses que expone las diferentes actividades que se deben ejecutar para cumplir con los objetivos específicos y, por ende, el objetivo general, generando un impacto positivo en la institución.The following document contains information about the theoretical bases and reasons behind the realization of a project that seeks the creation of a data management model to have a better control of the operational management in the processes of health care institutions. It also describes the methodology and tools that will be used to carry out the project in a framework focused on the Sociedad de Cirugía Hospital San José (HSJ), with the aim of providing a set of guidelines and policies for data management that directly impact decision making within the institution. In addition, a detailed five-month chronogram is presented that sets out the different activities to be carried out in order to meet the specific objectives and, therefore, the general objective, generating a positive impact on the institution.Ingeniero IndustrialPregradoapplication/pdfspaUniversidad Santo TomásPregrado Ingeniería IndustrialFacultad de Ingeniería IndustrialAtribución-NoComercial-SinDerivadas 2.5 ColombiaAtribución-NoComercial-SinDerivadas 2.5 Colombiahttp://creativecommons.org/licenses/by-nc-nd/2.5/co/Abierto (Texto Completo)info:eu-repo/semantics/openAccesshttp://purl.org/coar/access_right/c_abf2Modelo de gestión de datos en salud para la toma de decisiones operacionalesIngeniería industrialIngeniería de sistemasErgonomíaTrabajo de gradoinfo:eu-repo/semantics/acceptedVersionhttp://purl.org/coar/resource_type/c_7a1finfo:eu-repo/semantics/bachelorThesisCRAI-USTA BogotáH. Parra, S. Moreno and D. Ospina, “Modelo de gobernanza de datos para la gestión de operaciones en instituciones prestadoras de servicios de salud. Propuesta de Proyecto de investigacion,” 2022.Sap, “¿Qué es la gestión de datos?,” 2022. https://www.sap.com/latinamerica/insights/what-is-data-management.html (accessed Jan. 31, 2023).Tu Dashboard, “Gestión de datos de salud. Retos y oportunidades de mejora,” 2019. https://tudashboard.com/gestion-de-datos-de-salud (accessed Jan. 31, 2023).D. D. Dobrzykowski and K. L. McFadden, “Examining Governance in Hospital Operations: The Effects of Trust and Physician Employment in Achieving Efficiency and Patient Satisfaction,” Decis. Sci., vol. 51, no. 1, pp. 74–109, 2020, doi: 10.1111/deci.12414.T. M. Amaral and A. P. C. Costa, “Improving decision-making and management of hospital resources: An application of the PROMETHEE II method in an Emergency Department,” Oper. Res. Heal. Care, vol. 3, no. 1, pp. 1–6, 2014, doi: https://doi.org/10.1016/j.orhc.2013.10.002.B. Feng, P. He, P. Li, H. Yao, Y. Ji, and J. He, “Developing a smart healthcare framework with an ‘Aboriginal lens,’” Procedia Comput. Sci., vol. 162, pp. 347–354, 2019, doi: https://doi.org/10.1016/j.procs.2019.11.294.Ministerio de Salud de Perú., “INDICADORES DE GESTIÓN Y EVALUACIÓN HOSPITALARIA, PARA HOSPITALES, INSTITUTOS Y DIRESA.” 2020, [Online]. Available: http://bvs.minsa.gob.pe/local/MINSA/2739.pdf.A. A. Kawu, L. Hederman, D. O’Sullivan, and J. Doyle, “Patient generated health data and electronic health record integration, governance and socio-technical issues: A narrative review,” Informatics Med. Unlocked, p. 101153, 2022, doi: https://doi.org/10.1016/j.imu.2022.101153.F. Colombo, J. Oderkirk, and L. Slawomirski, “Health Information Systems, Electronic Medical Records, and Big Data in Global Healthcare: Progress and Challenges in OECD Countries,” in Handbook of Global Health, 2020.F. Costantini and G. Soncini, “Healthcare data governance in the EU: Main challenges in personal data protection,” in Endorobotics: Design, R and D and Future Trends, 2022, pp. 319–336.S. Alofaysan, B. Alhaqbani, R. Alseghayyir, and M. Omar, “The significance of data governance in healthcare: A case study in a tertiary care hospital,” in HEALTHINF 2014 - 7th International Conference on Health Informatics, Proceedings; Part of 7th International Joint Conference on Biomedical Engineering Systems and Technologies, BIOSTEC 2014, 2014, pp. 178–187, doi: 10.5220/0004738101780187.P. D. König, “Citizen-centered data governance in the smart city: From ethics to accountability,” Sustain. Cities Soc., vol. 75, p. 103308, 2021, doi: https://doi.org/10.1016/j.scs.2021.103308.J. Bowles, R. M. Czekster, and T. Webber, “Annotated BPMN models for optimised healthcare resource planning,” Lect. Notes Comput. Sci. (including Subser. Lect. Notes Artif. Intell. Lect. Notes Bioinformatics), vol. 11176 LNCS, pp. 146–162, 2018, doi: 10.1007/978-3-030-04771-9_12.F. Ruiz et al., “Business process modeling in healthcare,” Stud. Health Technol. Inform., vol. 179, pp. 75–87, 2012, doi: 10.3233/978-1-61499-086-4-75.S. de Lusignan et al., “Business Process Modelling is an Essential Part of a Requirements Analysis. Contribution of EFMI Primary Care Working Group,” Yearb. Med. Inform., vol. 7, 2012, doi: 10.1055/s-0038-1639428.K. Kendall and J. Kendall, Análisis y Diseño de Sistemas. 2011.S. Agostinelli, F. Covino, G. D’Agnese, C. De Crea, F. Leotta, and A. Marrella, “Supporting governance in healthcare through process mining: A case study,” IEEE Access, vol. 8, pp. 186012–186025, 2020, doi: 10.1109/ACCESS.2020.3030318.K. E. Alhajaj and I. A. Moonesar, “The power of big data mining to improve the health care system in the United Arab Emirates,” J. Big Data, vol. 10, no. 1, 2023, doi: 10.1186/s40537-022-00681-5.N. Bhansali, Data governance creating value from information assets. 2013.A. Bhardwaj and W. Singh, “Systematic review of big data analytics in governance,” in Proceedings of the International Conference on Intelligent Sustainable Systems, ICISS 2017, 2018, pp. 501–506, doi: 10.1109/ISS1.2017.8389462.D. Birnbaum, E. Borycki, B. T. Karras, E. Denham, and P. Lacroix, “Addressing public health informatics patient privacy concerns,” Clin. Gov., vol. 20, no. 2, pp. 91–100, 2015, doi: 10.1108/CGIJ-05-2015-0013.D. Allen, “From boundary concept to boundary object: The practice and politics of care pathway development,” Soc. Sci. Med., vol. 69, no. 3, pp. 354–361, 2009, doi: 10.1016/j.socscimed.2009.05.002.M. Nehemia and T. Zondani, “The use of an enterprise architecture framework to guide the management of big data in health organisations,” in Empowering Businesses With Collaborative Enterprise Architecture Frameworks, 2020, pp. 39–50.N. Cozzoli, F. P. Salvatore, N. Faccilongo, and M. Milone, “How can big data analytics be used for healthcare organization management? Literary framework and future research from a systematic review,” BMC Health Serv. Res., vol. 22, no. 1, 2022, doi: 10.1186/s12913-022-08167-z.N. Haliasos, K. Rezajooi, K. S. O’Neill, J. Van Dellen, A. Hudovsky, and S. Nouraei, “Financial and clinical governance implications of clinical coding accuracy in neurosurgery: A multidisciplinary audit,” Br. J. Neurosurg., vol. 24, no. 2, pp. 191–195, 2010, doi: 10.3109/02688690903536595.A. Dasgupta, A. Gill, and F. Hussain, “A conceptual framework for data governance in IoT-enabled digital IS ecosystems,” in DATA 2019 - Proceedings of the 8th International Conference on Data Science, Technology and Applications, 2019, pp. 209–216, doi: 10.5220/0007924302090216.L. Jones, L. Pomeroy, G. Robert, S. Burnett, J. E. Anderson, and N. J. Fulop, “How do hospital boards govern for quality improvement? A mixed methods study of 15 organisations in England,” BMJ Qual. 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Weske, Extracting decision logicfrom process models, en: Actas de la 27.ª Conferencia Internacional sobre Ingeniería de Sistemas de Información Avanzada (CAiSE), en: Apuntes de conferencias en informática, vol. 9097, Springer, 2015, págs. 349–366, http: //dx.doi.org/10.1007/9783319190693_22.ORIGINAL2023yersonsuarez.pdf2023yersonsuarez.pdfTrabajo de Gradoapplication/pdf2415635https://repository.usta.edu.co/bitstream/11634/51076/1/2023yersonsuarez.pdfa0a1c98905ab49d9d286ca8ff971f15eMD51open accesscarta derecho de autor.pdfcarta derecho de autor.pdfCarta Derechos de Autorapplication/pdf1082495https://repository.usta.edu.co/bitstream/11634/51076/2/carta%20derecho%20de%20autor.pdf8a155b50888717d3c1e2166a1e6dfd64MD52metadata only accessCarta aprobación de facultad.pdfCarta aprobación de facultad.pdfCarta Aprobación de Facultadapplication/pdf182091https://repository.usta.edu.co/bitstream/11634/51076/4/Carta%20aprobacio%cc%81n%20de%20facultad.pdfff7e54f32b7d0a99c43c450c6e7463c9MD54metadata only accessTHUMBNAIL2023yersonsuarez.pdf.jpg2023yersonsuarez.pdf.jpgIM Thumbnailimage/jpeg3925https://repository.usta.edu.co/bitstream/11634/51076/7/2023yersonsuarez.pdf.jpg7c18d4a15dff941061ae4c8412ff9d97MD57open accesscarta derecho de autor.pdf.jpgcarta derecho de autor.pdf.jpgIM Thumbnailimage/jpeg7698https://repository.usta.edu.co/bitstream/11634/51076/8/carta%20derecho%20de%20autor.pdf.jpg99d29f8363c582d6d967d4fb0b180ca4MD58open accessCarta aprobación de facultad.pdf.jpgCarta aprobación de facultad.pdf.jpgIM Thumbnailimage/jpeg6725https://repository.usta.edu.co/bitstream/11634/51076/9/Carta%20aprobacio%cc%81n%20de%20facultad.pdf.jpga046b4ae729c3b2159a5eff0f68e8855MD59open accessCC-LICENSElicense_rdflicense_rdfapplication/rdf+xml; charset=utf-8811https://repository.usta.edu.co/bitstream/11634/51076/5/license_rdf217700a34da79ed616c2feb68d4c5e06MD55open accessLICENSElicense.txtlicense.txttext/plain; charset=utf-8807https://repository.usta.edu.co/bitstream/11634/51076/6/license.txtaedeaf396fcd827b537c73d23464fc27MD56open access11634/51076oai:repository.usta.edu.co:11634/510762023-07-08 03:17:28.371open accessRepositorio Universidad Santo Tomásrepositorio@usantotomas.edu.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 |