Business intelligence for the management of waiting times in the emergency service

Authors

DOI:

https://doi.org/10.35381/i.p.v6i9.2617

Keywords:

Business, artificial intelligence, management, service, emergency., (UNESCO thesaurus)

Abstract

Propose a business intelligence system for the management of waiting times in the emergency service. The research was of a quantitative nature to capture the data resulting from a survey and the type of descriptive study to determine the characteristics of the KPI: waiting time in the emergency room. The results obtained from the survey evidenced the lack of digital information sources and the need to develop and implement an initial data capture tool that provides the raw material for Business Intelligence. As a conclusion, it is found that scientific research based on design allows the implementation of practical solutions in scenarios with a deficient information system through the design and development of artifacts applying common methodologies and techniques, however, the evaluation stage does not guarantee knowing the degree satisfaction of the artifact.

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References

Aaron, C., Galindo, C., Lorena, E., & Monge, P. (s. f.). Inteligencia de Negocios: Evaluación de riesgos laborales a través de un tablero de control enfocado a la toma de decisiones Business Intelligence : Evaluation of occupational. [Business Intelligence: Evaluation of occupational risks through a control panel focused on decision making Business Intelligence: Evaluation of occupational]. 2018 13th Iberian Conference on Information Systems and Technologies (CISTI), 1–4.

Abrego Almazán, D., Sánchez Tovar, Y., & Medina Quintero, J. M. (2017). Influencia de los sistemas de información en los resultados organizacionales. [Influence of information systems on organizational results]. Contaduría y Administración, 62(2), 303-320. https://doi.org/10.1016/j.cya.2016.07.005

Ahumada, E., & Perusquia, J. (2016). Inteligencia de negocios: estrategia para el desarrollo de competitividad en empresas de base tecnológica. [Business intelligence: strategy for the development of competitiveness in technology-based companies ].Contaduría y Administración,61(1),127-158. https://n9.cl/3tz3j

Baskerville, R., Baiyere, A., & Gergor, S. (2018). Design Science Research Contributions: Finding a Balance between Artifact and Theory. Journal of the Association for Information Systems, 19(5), 358-376. https://doi.org/10.17705/1jais.00495

Bergs, J., Vandijck, D., Hoogmartens, O., Heerinckx, P., Van Sassenbroeck, D., Depaire, B., … Verelst, S. (2016). Emergency department crowding: Time to shift the paradigm from predicting and controlling to analysing and managing. International Emergency Nursing, 24, 74-77. https://doi.org/10.1016/j.ienj.2015.05.004

Duque Méndez, N. D., Hernández Leal, E. J., Pérez Zapata, Á. M., Arroyave Tabares, A. F., & Espinosa Gómez, D. A. (2016). Modelo para el proceso de extracción, transformación y carga en bodegas de datos. Una aplicación con datos ambientales. [Model for the extraction, transformation and loading process in data warehouses. An application with environmental data]. Ciencia e Ingeniería Neogranadina, 26(2), 95-109. https://doi.org/10.18359/rcin.1799

Moreira, D. de A., Tibães, H. B. B., Batista, R. C. R., Cardoso, C. M. L., & Brito, M. J. M. (2017). Manchester Triage System in Primary Health Care: Ambiguities and Challenges Related To Access / El Sistema De Triage De Manchester En La Atención Primaria En Salud: Ambiguedades Y Desafios Relacionados Al Acceso / O Sistema De Triagem De Manchester Na Ate. Texto & Contexto - Enfermagem, 26(2), 1–8. https://doi.org/10.1590/0104-07072017005970015

Morley, C., & Unwin, M. (2018). Emergency department crowding: A systematic review of causes, consequences and solutions. PLOS ONE, 13(8), e0203316. https://doi.org/10.1371/journal.pone.0203316

Oxman, A., Moberg, J., & Vandvik, P. O. (2017). Marcos GRADE de la evidencia a la decisión (EtD): un enfoque sistemático y transparente para tomar decisiones sanitarias bien informadas. 2: Guías de práctica clínica. [Evidence to Decision (EtD) Frameworks: A systematic and transparent approach to making well-informed healthcare decisions. 2: Clinical practice guidelines]. Gaceta Sanitaria, 32(2), 167.e1–167.e10. https://doi.org/10.1016/j.gaceta.2017.03.008

Vásquez, & Luna. (2019). EL TRIAGE HOSPITALARIO EN LOS SERVICIOS DE EMERGENCIA. [ HOSPITAL TRIAGE IN EMERGENCY SERVICES]. Revista de la Facultad de Medicina Humana, 19(1), 1-5. https://doi.org/10.25176/RFMH.v19.n1.1797

Published

2023-07-31

How to Cite

Guadalupe-Abad, C. A., Romero-Fernández, A. J., Fernández-Villacres, G. E., & Molina-Chalacan, L. J. (2023). Business intelligence for the management of waiting times in the emergency service. Ingenium Et Potentia, 5(9), 43–54. https://doi.org/10.35381/i.p.v6i9.2617

Issue

Section

De Investigación

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