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

dc.contributorParra Riveros, Helien
dc.contributorOspina López, Diana Yomali
dc.contributorUniversidad Santo Tomás
dc.creatorSuarez Zubieta, Yerson
dc.date.accessioned2023-07-06T14:56:45Z
dc.date.accessioned2023-09-06T13:30:59Z
dc.date.available2023-07-06T14:56:45Z
dc.date.available2023-09-06T13:30:59Z
dc.date.created2023-07-06T14:56:45Z
dc.date.issued2023-07-05
dc.identifierSuarez Zubieta, Y. (2023). Modelo de gestión de datos en salud para la toma de decisiones operacionales. [Trabajo de grado, Universidad Santo Tomás]. Repositorio institucional.
dc.identifierhttp://hdl.handle.net/11634/51076
dc.identifierreponame:Repositorio Institucional Universidad Santo Tomás
dc.identifierinstname:Universidad Santo Tomás
dc.identifierrepourl:https://repository.usta.edu.co
dc.identifier.urihttps://repositorioslatinoamericanos.uchile.cl/handle/2250/8679995
dc.description.abstractThe 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.
dc.languagespa
dc.publisherUniversidad Santo Tomás
dc.publisherPregrado Ingeniería Industrial
dc.publisherFacultad de Ingeniería Industrial
dc.relationH. 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.
dc.relationSap, “¿Qué es la gestión de datos?,” 2022. https://www.sap.com/latinamerica/insights/what-is-data-management.html (accessed Jan. 31, 2023).
dc.relationTu Dashboard, “Gestión de datos de salud. Retos y oportunidades de mejora,” 2019. https://tudashboard.com/gestion-de-datos-de-salud (accessed Jan. 31, 2023).
dc.relationD. 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.
dc.relationT. 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.
dc.relationB. 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.
dc.relationMinisterio 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.
dc.relationA. 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.
dc.relationF. 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.
dc.relationF. 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.
dc.relationS. 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.
dc.relationP. 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.
dc.relationJ. 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.
dc.relationF. 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.
dc.relationS. 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.
dc.relationK. Kendall and J. Kendall, Análisis y Diseño de Sistemas. 2011.
dc.relationS. 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.
dc.relationK. 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.
dc.relationN. Bhansali, Data governance creating value from information assets. 2013.
dc.relationA. 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.
dc.relationD. 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.
dc.relationD. 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.
dc.relationM. 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.
dc.relationN. 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.
dc.relationN. 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.
dc.relationA. 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.
dc.relationL. 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.
dc.relationB. 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.
dc.relationL. 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.
dc.relationJ.-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.
dc.relationH. 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.
dc.relationE. 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.
dc.relationY. Kirikkayis, F. Gallik, and M. Reichert, “Modeling, Executing and Monitoring IoT-Driven Business Rules with BPMN and DMN: Current Support and Challenges”.
dc.relationK. 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.
dc.rightshttp://creativecommons.org/licenses/by-nc-nd/2.5/co/
dc.rightsAbierto (Texto Completo)
dc.rightsinfo:eu-repo/semantics/openAccess
dc.rightshttp://purl.org/coar/access_right/c_abf2
dc.rightsAtribución-NoComercial-SinDerivadas 2.5 Colombia
dc.rightsAtribución-NoComercial-SinDerivadas 2.5 Colombia
dc.titleModelo de gestión de datos en salud para la toma de decisiones operacionales


Este ítem pertenece a la siguiente institución