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Simulation and Modeling Methodologies, Technologies and Applications pp 313–331Cite as

The Optimization of a Surgical Clinical Pathway

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Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 402))

Abstract

A Clinical Pathway (CP) can be conceived as an algorithm based on a flow chart that details all decisions and treatments related to a patient with a given pathology. CPs can be considered an operational tool in the clinical treatment of diseases, from a patient-focused point of view. Although it has been shown their benefits in clinical practices, little attention has been dedicated to study how CP can optimize the use of resources. We focus our attention on the analysis of a surgical CP from a patient-centred point of view in order to optimize the most critical resources of a surgical CP, and to evaluate the impact of the optimization with respect to a set of patient- and facility-centred indices.

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Acknowledgments

The authors acknowledge support from the Italian Ministry of Education, University and Research (MIUR), under the grant n. RBFR08IKSB, “Firb – Futuro in Ricerca 2008”. This paper extends the preliminary work reported in [24].

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Authors and Affiliations

  1. Department of Computer Science, Università degli Studi di Torino, Corso Svizzera 185, 10149, Torino, Italy

    Roberto Aringhieri & Davide Duma

Authors
  1. Roberto Aringhieri
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  2. Davide Duma
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Corresponding author

Correspondence to Davide Duma .

Editor information

Editors and Affiliations

  1. Dept. of Computer & Info Science, Fordham University, Bronx, New York, USA

    Mohammad S. Obaidat

  2. Faculty of Engg school of ECE, University of Ottawa, Ottawa, Ontario, Canada

    Tuncer Ören

  3. Intelligent Systems Laboratory, Sys Rese Insti of Polish Academy of Sci, Warsaw, Poland

    Janusz Kacprzyk

  4. INSTICC, Setubal, Portugal

    Joaquim Filipe

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Aringhieri, R., Duma, D. (2015). The Optimization of a Surgical Clinical Pathway. In: Obaidat, M., Ören, T., Kacprzyk, J., Filipe, J. (eds) Simulation and Modeling Methodologies, Technologies and Applications . Advances in Intelligent Systems and Computing, vol 402. Springer, Cham. https://doi.org/10.1007/978-3-319-26470-7_16

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  • DOI: https://doi.org/10.1007/978-3-319-26470-7_16

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-26469-1

  • Online ISBN: 978-3-319-26470-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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