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Cálculo de un indicador multicriterio para la gestión de recursos humanos y tecnológicos en un servicio de hemodiálisis || Calculation of a multicriteria indicator for the management of human and technological resources in a hemodialysis service

Author

Listed:
  • Curchod, Miguel Ángel

    (Universidad Nacional de Córdoba (Argentina))

  • Alberto, Catalina Lucía

    (Universidad Nacional de Córdoba (Argentina))

Abstract

El objetivo de este trabajo es construir un indicador compuesto, consistente y confiable, para evaluar las condiciones fisiológicas de un grupo de pacientes bajo tratamiento de hemodiálisis. Los indicadores compuestos, desarrollados a partir de indicadores individuales, tienen la ventaja de poder interpretarse rápidamente y dar a quien toma las decisiones una orientación sobre los procedimientos a seguir. El propósito es proporcionar un indicador de gestión que ayude a optimizar el funcionamiento del servicio hospitalario para brindar a los pacientes el máximo de cuidado. Para formalizar el indicador compuesto se consideraron los laboratorios clínicos realizados a los pacientes antes del proceso de hemodiálisis. La idea central del estudio es realizar un ranking de los pacientes sustentado en los criterios que fundamentan las condiciones fisiológicas de cada uno de ellos. El estudio se realizó en un importante hospital de la ciudad de Córdoba, Argentina. Para resolver el problema se aplicó el método multicriterio de apoyo a las decisiones Reference Ideal Method. Se han propuesto modificaciones a la técnica originaria para que sea posible trabajar con varios intervalos ideales de referencia en un mismo criterio. La consulta a expertos para determinar los criterios de la evaluación y los pesos relativos asignados a cada uno de ellos se cumplimentó respetando las formalidades del método de indagación Delphi. || The aim of this presentation is to develop a composite indicator, which should be consistent and reliable, to evaluate the physiological conditions of a group of patients on dialysis therapy. The composite indicators are developed based on key performance indicators. They have the advantage of being able to be interpreted quickly and give to the decision makers an orientation on the procedures to be followed. The purpose is to provide a management indicator to optimize the activities of this hospital unit, and in this way, to provide patients maximum care. The composite indicator was built with the clinical laboratories, which are performed on patients on dialysis treatment. The central idea of the study is to make a ranking of patients based on the criteria that support the physiological conditions of each one of them. The study was carried out in one of the major hospitals in the city of Córdoba, Argentina. To solve the problem, we applied the multicriteria decision analysis, specifically, the Reference Ideal Method. Modifications to the traditional technique have been proposed to make it possible to work with several ideal reference intervals in the same criterion. The referral to experts in order to define the criteria and the relative weights has been performed by application of the Delphi Method.

Suggested Citation

  • Curchod, Miguel Ángel & Alberto, Catalina Lucía, 2021. "Cálculo de un indicador multicriterio para la gestión de recursos humanos y tecnológicos en un servicio de hemodiálisis || Calculation of a multicriteria indicator for the management of human and tech," Revista de Métodos Cuantitativos para la Economía y la Empresa = Journal of Quantitative Methods for Economics and Business Administration, Universidad Pablo de Olavide, Department of Quantitative Methods for Economics and Business Administration, vol. 32(1), pages 49-65, December.
  • Handle: RePEc:pab:rmcpee:v:32:y:2021:i:1:p:49-65
    DOI: https://doi.org/10.46661/revmetodoscuanteconempresa.4195
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    References listed on IDEAS

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    1. Giuseppe Munda, 2004. "Métodos y procesos multicriterio para la evaluación social de las políticas públicas," Revista Iberoamericana de Economía Ecológica, Red Iberoamericana de Economía Ecológica, vol. 1, pages 31-45.
    2. Arthur F. Burns & Wesley C. Mitchell, 1946. "Measuring Business Cycles," NBER Books, National Bureau of Economic Research, Inc, number burn46-1.
    3. Opricovic, Serafim & Tzeng, Gwo-Hshiung, 2004. "Compromise solution by MCDM methods: A comparative analysis of VIKOR and TOPSIS," European Journal of Operational Research, Elsevier, vol. 156(2), pages 445-455, July.
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    More about this item

    Keywords

    Indicador de Gestión; Indicadores Clave de Performance (KPIs); Servicios hospitalarios; Análisis Multicriterio Discreto; Método RIM modificado; Management Indicators; Key Performance Indicators (KPIs); Hospital Units; Multicriteria Decision Analysis; Modified Reference Ideal Method;
    All these keywords.

    JEL classification:

    • C02 - Mathematical and Quantitative Methods - - General - - - Mathematical Economics
    • C44 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Operations Research; Statistical Decision Theory
    • C65 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Miscellaneous Mathematical Tools

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