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Performance and cost evaluation of health information systems using micro-costing and discrete-event simulation

Author

Listed:
  • Olfa Rejeb

    (LIMOS - Laboratoire d'Informatique, de Modélisation et d'Optimisation des Systèmes - ENSM ST-ETIENNE - Ecole Nationale Supérieure des Mines de St Etienne - UCA [2017-2020] - Université Clermont Auvergne [2017-2020] - CNRS - Centre National de la Recherche Scientifique)

  • Claire Pilet

    (Mines Saint-Étienne MSE - École des Mines de Saint-Étienne - IMT - Institut Mines-Télécom [Paris])

  • Sabri Hamana

    (LIMOS - Laboratoire d'Informatique, de Modélisation et d'Optimisation des Systèmes - ENSM ST-ETIENNE - Ecole Nationale Supérieure des Mines de St Etienne - UCA [2017-2020] - Université Clermont Auvergne [2017-2020] - CNRS - Centre National de la Recherche Scientifique)

  • Xie Xiaolan

    (LIMOS - Laboratoire d'Informatique, de Modélisation et d'Optimisation des Systèmes - ENSM ST-ETIENNE - Ecole Nationale Supérieure des Mines de St Etienne - UCA [2017-2020] - Université Clermont Auvergne [2017-2020] - CNRS - Centre National de la Recherche Scientifique, Shanghai Jiao Tong University [Shanghai])

  • Thierry Durand

    (Direction du Système d'Information - Centre Léon Bérard [Lyon])

  • Saber Aloui

    (Centre hospitalier de Sens)

  • Anne Doly

    (UNICANCER/CJP - Centre Jean Perrin [Clermont-Ferrand] - UNICANCER)

  • Pierre Biron

    (Centre Léon Bérard [Lyon])

  • Lionel Perrier

    (Centre Léon Bérard [Lyon], GATE Lyon Saint-Étienne - Groupe d'Analyse et de Théorie Economique Lyon - Saint-Etienne - ENS de Lyon - École normale supérieure de Lyon - UL2 - Université Lumière - Lyon 2 - UCBL - Université Claude Bernard Lyon 1 - Université de Lyon - UJM - Université Jean Monnet - Saint-Étienne - CNRS - Centre National de la Recherche Scientifique)

  • Vincent Augusto

    (LIMOS - Laboratoire d'Informatique, de Modélisation et d'Optimisation des Systèmes - ENSM ST-ETIENNE - Ecole Nationale Supérieure des Mines de St Etienne - UCA [2017-2020] - Université Clermont Auvergne [2017-2020] - CNRS - Centre National de la Recherche Scientifique)

Abstract

Innovation and health-care funding reforms have contributed to the deployment of Information and Communication Technology (ICT) to improve patient care. Many health-care organizations considered the application of ICT as a crucial key to enhance health-care management. The purpose of this paper is to provide a methodology to assess the organizational impact of high-level Health Information System (HIS) on patient pathway. We propose an integrated performance evaluation of HIS approach through the combination of formal modeling using the Architecture of Integrated Information Systems (ARIS) models, a micro-costing approach for cost evaluation, and a Discrete-Event Simulation (DES) approach. The methodology is applied to the consultation for cancer treatment process. Simulation scenarios are established to conclude about the impact of HIS on patient pathway. We demonstrated that although high level HIS lengthen the consultation, occupation rate of oncologists are lower and quality of service is higher (through the number of available information accessed during the consultation to formulate the diagnostic). The provided method allows also to determine the most cost-effective ICT elements to improve the care process quality while minimizing costs. The methodology is flexible enough to be applied to other health-care systems.
(This abstract was borrowed from another version of this item.)

Suggested Citation

  • Olfa Rejeb & Claire Pilet & Sabri Hamana & Xie Xiaolan & Thierry Durand & Saber Aloui & Anne Doly & Pierre Biron & Lionel Perrier & Vincent Augusto, 2018. "Performance and cost evaluation of health information systems using micro-costing and discrete-event simulation," Post-Print halshs-01526704, HAL.
  • Handle: RePEc:hal:journl:halshs-01526704
    DOI: 10.1007/s10729-017-9402-x
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    References listed on IDEAS

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    1. Jonas Schreyögg, 2008. "A micro‐costing approach to estimating hospital costs for appendectomy in a Cross‐European context," Health Economics, John Wiley & Sons, Ltd., vol. 17(S1), pages 59-69, January.
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    Cited by:

    1. Reda Lebcir & Usame Yakutcan & Eren Demir, 2022. "A decision support tool with health economic modelling for better management of DVT patients," Health Economics Review, Springer, vol. 12(1), pages 1-16, December.

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