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The multicriteria analysis for construction of benchmarkers to support the Clinical Engineering in the Healthcare Technology Management

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  • de Moraes, Luciano
  • Garcia, Renato
  • Ensslin, Leonardo
  • da Conceição, Mário José
  • de Carvalho, Stella Maris

Abstract

In developing countries, approximately half of the healthcare equipments are not in full use and the main cause of this is the inadequate management of them. The Clinical Engineering might face this problem in the healthcare environment analyzing the equipment with a health technological process perspective to identify opportunities of improvements. Generally, the inadequate management is a result of lack of systemized and contextualized information about the health technological process. The effort to make an adequate management generates an increasing interest in the use of benchmarker. Currently, the benchmarkers used by the Clinical Engineering are not representative of a health technological process as a whole. Health technological process concept is stated in this article. The multicriteria analysis methodology MCDA (Multicriteria Decision Aid) is used to obtain benchmarkers and to identify opportunities of improvements, thus generating conditions for that the Clinical Engineering consolidates its relevant contribution for the healthcare.

Suggested Citation

  • de Moraes, Luciano & Garcia, Renato & Ensslin, Leonardo & da Conceição, Mário José & de Carvalho, Stella Maris, 2010. "The multicriteria analysis for construction of benchmarkers to support the Clinical Engineering in the Healthcare Technology Management," European Journal of Operational Research, Elsevier, vol. 200(2), pages 607-615, January.
  • Handle: RePEc:eee:ejores:v:200:y:2010:i:2:p:607-615
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    References listed on IDEAS

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    1. Bana e Costa, Carlos A. & Ensslin, Leonardo & Correa, Emerson C. & Vansnick, Jean-Claude, 1999. "Decision Support Systems in action: Integrated application in a multicriteria decision aid process," European Journal of Operational Research, Elsevier, vol. 113(2), pages 315-335, March.
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    Cited by:

    1. Yiting Xing & Ling Li & Zhuming Bi & Marzena Wilamowska‐Korsak & Li Zhang, 2013. "Operations Research (OR) in Service Industries: A Comprehensive Review," Systems Research and Behavioral Science, Wiley Blackwell, vol. 30(3), pages 300-353, May.
    2. White, Leroy & Smith, Honora & Currie, Christine, 2011. "OR in developing countries: A review," European Journal of Operational Research, Elsevier, vol. 208(1), pages 1-11, January.
    3. Madeira, Armando Gonçalves & Cardoso, Moacyr Machado & Belderrain, Mischel Carmen Neyra & Correia, Anderson Ribeiro & Schwanz, Silvia Helena, 2012. "Multicriteria and multivariate analysis for port performance evaluation," International Journal of Production Economics, Elsevier, vol. 140(1), pages 450-456.
    4. Ensslin, Leonardo & Dezem, Vinicius & Dutra, Ademar & Ensslin, Sandra R. & Somensi, Karine, 2017. "Management support for agricultural enterprises: a case study for a fruit-producing company," International Food and Agribusiness Management Review, International Food and Agribusiness Management Association, vol. 20(4), March.
    5. Longaray, André Andrade & Ensslin, Leonardo & Dutra, Ademar & Ensslin, Sandra & Brasil, Ricardo & Munhoz, Paulo, 2019. "Using MCDA-C to assess the organizational performance of industries operating at Brazilian maritime port terminals," Operations Research Perspectives, Elsevier, vol. 6(C).

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