General Information
    • ISSN: 1793-8201 (Print), 2972-4511 (Online)
    • Abbreviated Title: Int. J. Comput. Theory Eng.
    • Frequency: Quarterly
    • DOI: 10.7763/IJCTE
    • Editor-in-Chief: Prof. Mehmet Sahinoglu
    • Associate Editor-in-Chief: Assoc. Prof. Alberto Arteta, Assoc. Prof. Engin Maşazade
    • Managing Editor: Ms. Cecilia Xie
    • Abstracting/Indexing: Scopus (Since 2022), INSPEC (IET), CNKI,  Google Scholar, EBSCO, etc.
    • Average Days from Submission to Acceptance: 192 days
    • APC: 800 USD
    • E-mail: editor@ijcte.org
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IJCTE 2014 Vol.6(3): 220-226 ISSN: 1793-8201
DOI: 10.7763/IJCTE.2014.V6.866

Use of DES for the Quantitative Analysis of the Workflow of the Hypertension Center at the “Azienda Ospedaliera Universitaria Federico II” of Naples

A. Torri, A. Pepino, M. Rovani, and N. De Luca

Abstract—The healthcare sector is very complex and healthcare managers have difficulty in describing the behavior of these systems. Management tools used by the managers of healthcare facilities, Business Intelligence for example, can help them to find the most suitable management solution in order to achieve the objectives that have been defined during the business planning phase, but they fail to fully describe the real workflow. This paper aims to develop a new operating paradigm that permits an improved definition of the operation of a healthcare structure by means of the adoption of simulated models based on Discrete Event Simulation (DES) theory in order to study its behavior and to obtain quantitative information about its activities and its use of human resources. The structure under scrutiny was the Hypertension Center of the “Azienda Ospedaliera Universitaria Federico II” of Naples.

Index Terms—Business process management, discrete event simulation, healthcare process analysis, simulation in healthcare.

A. Torri, A. Pepino, and M. Rovani are with the Department of Electrical Engineering and Information Technologies, University Federico II, Naples (e-mail: torri2005@libero.it).
N. De Luca is with the Department of Translational Medical Sciences, University Hospital Federico II, Naples.

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Cite:A. Torri, A. Pepino, M. Rovani, and N. De Luca, "Use of DES for the Quantitative Analysis of the Workflow of the Hypertension Center at the “Azienda Ospedaliera Universitaria Federico II” of Naples," International Journal of Computer Theory and Engineering vol. 6, no. 3, pp. 220-226, 2014.


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