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Optimization of Decision Making in the Supply of Medicinal Gases Used in Health Care

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  • María Carmen Carnero

    (Technical School of Industrial Engineering, University of Castilla-la Mancha, 13071 Ciudad Real, Spain
    CEG-IST, Instituto Superior Técnico, Universidade de Lisboa, 1049-001 Lisbon, Portugal)

  • Andrés Gómez

    (Technical School of Industrial Engineering, University of Castilla-la Mancha, 13071 Ciudad Real, Spain)

Abstract

Systems that supply medicinal gases—oxygen, nitrous oxide and medical air—serve all care units of a hospital; for example, they feed distribution systems for operating theatres, neonatal and pediatric units, dialysis, X-ray, casualty, special tests, outpatients, etc. Systems for the provision of medicinal gases are therefore critical in guaranteeing hospital sustainability, since the functionality or availability of other hospital systems depends on them. Availability of 100% in these systems would avoid the need to reschedule patient appointments. It would also eliminate repeat testing, which poses risk to staff and patients, and could avoid affecting people’s lives through unavailability of, for example, operating theatres or intensive care units. All this contributes to a more rational resource consumption and an increase in quality of care both for the hospital itself and for patients and visitors. Although these systems are of vital importance to health care organizations, no previous work has been found in the literature that optimizes the technical decisions on supply in these systems. This research describes a model for these systems via continuous-time Markov chains. The results obtained are used in a multicriteria model constructed with the measuring attractiveness by a categorical-based evaluation technique (MACBETH) approach. In order to assess reliability when incorporating doubt or uncertainty via the MACBETH approach, the model has been validated by means of the fuzzy analytic hierarchy process. The aim is to obtain the best objective decision, with respect to the design of these systems, by analyzing the use of economic resources, the risks, and the impact on hospital activity, all with the aim of guaranteeing the best quality of care. The models constructed by means of MACBETH and the fuzzy analytic hierarchy process give, as the most suitable alternatives, duplicate the external supply in medical oxygen systems and maintain the original design conditions for supply systems of nitrous oxide and medicinal air.

Suggested Citation

  • María Carmen Carnero & Andrés Gómez, 2019. "Optimization of Decision Making in the Supply of Medicinal Gases Used in Health Care," Sustainability, MDPI, vol. 11(10), pages 1-31, May.
    • Handle: RePEc:gam:jsusta:v:11:y:2019:i:10:p:2952-:d:233878
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    2. Pereira, Miguel Alves & Machete, Inês Freire & Ferreira, Diogo Cunha & Marques, Rui Cunha, 2020. "Using multi-criteria decision analysis to rank European health systems: The Beveridgian financing case," Socio-Economic Planning Sciences, Elsevier, vol. 72(C).
    3. Miroslav Variny & Dominika Jediná & Miroslav Rimár & Ján Kizek & Marianna Kšiňanová, 2021. "Cutting Oxygen Production-Related Greenhouse Gas Emissions by Improved Compression Heat Management in a Cryogenic Air Separation Unit," IJERPH, MDPI, vol. 18(19), pages 1-32, October.
    4. Fahime Lotfian Delouyi & Seyed Hassan Ghodsypour & Maryam Ashrafi, 2021. "Dynamic Portfolio Selection in Gas Transmission Projects Considering Sustainable Strategic Alignment and Project Interdependencies through Value Analysis," Sustainability, MDPI, vol. 13(10), pages 1-25, May.
    5. Miroslav Variny & Dominika Jediná & Patrik Furda, 2021. "Comment on Hamayun et al. Evaluation of Two-Column Air Separation Processes Based on Exergy Analysis. Energies 2020, 13 , 6361," Energies, MDPI, vol. 14(20), pages 1-8, October.

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