Modelo de gestión de datos en salud para la toma de decisiones operacionales

Suarez Zubieta, Yerson

Modelo de gestión de datos en salud para la toma de decisiones operacionales

dc.contributor.advisor	Parra Riveros, Helien
dc.contributor.advisor	Ospina López, Diana Yomali
dc.contributor.author	Suarez Zubieta, Yerson
dc.contributor.corporatename	Universidad Santo Tomás	spa
dc.date.accessioned	2023-07-06T14:56:45Z
dc.date.available	2023-07-06T14:56:45Z
dc.date.issued	2023-07-05
dc.description	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.	spa
dc.description.abstract	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.	spa
dc.description.degreelevel	Pregrado	spa
dc.description.degreename	Ingeniero Industrial	spa
dc.format.mimetype	application/pdf
dc.identifier.citation	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.	spa
dc.identifier.instname	instname:Universidad Santo Tomás	spa
dc.identifier.reponame	reponame:Repositorio Institucional Universidad Santo Tomás	spa
dc.identifier.repourl	repourl:https://repository.usta.edu.co	spa
dc.identifier.uri	http://hdl.handle.net/11634/51076
dc.language.iso	spa
dc.publisher	Universidad Santo Tomás	spa
dc.publisher.branch	CRAI-USTA Bogotá	spa
dc.publisher.faculty	Facultad de Ingeniería Industrial	spa
dc.publisher.program	Pregrado Ingeniería Industrial	spa
dc.relation.references	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.	spa
dc.relation.references	Sap, “¿Qué es la gestión de datos?,” 2022. https://www.sap.com/latinamerica/insights/what-is-data-management.html (accessed Jan. 31, 2023).	spa
dc.relation.references	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).	spa
dc.relation.references	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.	spa
dc.relation.references	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.	spa
dc.relation.references	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.	spa
dc.relation.references	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.	spa
dc.relation.references	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.	spa
dc.relation.references	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.	spa
dc.relation.references	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.	spa
dc.relation.references	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.	spa
dc.relation.references	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.	spa
dc.relation.references	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.	spa
dc.relation.references	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.	spa
dc.relation.references	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.	spa
dc.relation.references	K. Kendall and J. Kendall, Análisis y Diseño de Sistemas. 2011.	spa
dc.relation.references	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.	spa
dc.relation.references	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.	spa
dc.relation.references	N. Bhansali, Data governance creating value from information assets. 2013.	spa
dc.relation.references	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.	spa
dc.relation.references	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.	spa
dc.relation.references	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.	spa
dc.relation.references	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.	spa
dc.relation.references	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.	spa
dc.relation.references	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.	spa
dc.relation.references	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.	spa
dc.relation.references	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.	spa
dc.relation.references	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.	spa
dc.relation.references	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.	spa
dc.relation.references	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.	spa
dc.relation.references	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.	spa
dc.relation.references	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.	spa
dc.relation.references	Y. Kirikkayis, F. Gallik, and M. Reichert, “Modeling, Executing and Monitoring IoT-Driven Business Rules with BPMN and DMN: Current Support and Challenges”.	spa
dc.relation.references	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.	spa
dc.rights	Atribución-NoComercial-SinDerivadas 2.5 Colombia
dc.rights	Atribución-NoComercial-SinDerivadas 2.5 Colombia
dc.rights.accessrights	info:eu-repo/semantics/openAccess
dc.rights.coar	http://purl.org/coar/access_right/c_abf2	spa
dc.rights.local	Abierto (Texto Completo)	spa
dc.rights.uri	http://creativecommons.org/licenses/by-nc-nd/2.5/co/
dc.subject.lemb	Ingeniería industrial	spa
dc.subject.lemb	Ingeniería de sistemas	spa
dc.subject.lemb	Ergonomía	spa
dc.title	Modelo de gestión de datos en salud para la toma de decisiones operacionales	spa
dc.type	bachelor thesis
dc.type.coar	http://purl.org/coar/resource_type/c_7a1f
dc.type.coarversion	http://purl.org/coar/version/c_ab4af688f83e57aa
dc.type.drive	info:eu-repo/semantics/bachelorThesis
dc.type.local	Tesis de pregrado	spa
dc.type.version	info:eu-repo/semantics/acceptedVersion