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IMCS/Publications/CSJM/Issues/CSJM v.32, n.2 (95), 2024/

Decision-Making in Healthcare Resources Optimal Management: the Case of Inpatient Bed Occupancy and Associated Costs

Authors: Smaranda Belciug, Florin Gheorghe Filip, Mihai Florin Filip
Keywords: biology inspired models, collaborative decisions, evaluation criteria, health information technology, swarm intelligence.

Abstract

The aim of this paper is to explore how efficient is the \textit{Fish School Search} (FSS) algorithm in building a \textit{Decision Support System (DSS)} for healthcare facility managers in order to optimize both the number of beds in their facilities and their budget. We have used a finite capacity queueing model with phase-type service distribution combined with a compartmental model and associated cost model. The \textit{Fish School Search} algorithm was used to optimize the queueing model. To illustrate the proposed approach, we used the available data reported by a department of geriatric medicine of a hospital. Our findings showed that by encoding the whole information provided by the queueing system and the cost model in a fish, the Fish School Search is a potentially beneficial tool for optimizing healthcare resources and the facility's budget. The model can be extended to different medical facilities with respect to the objective parameters.

Smaranda Belciug
ORCID: https://orcid.org/0000-0003-2950-3501
Department of Computer Science, Faculty of Sciences, University of Craiova,
Craiova, 200585, Romania
E-mail:

Florin Gheorghe Filip
ORCID: https://orcid.org/0000-0001-8395-7040
The Romanian Academy, Calea Victoriei 125,
Bucharest, 010071, Romania
E-mail:

Mihai Florin Filip
The National Institute for R&D in Informatics (ICI),
Bd. Maresal Averescu 8-10, Bucharest, 71318, Romania
E-mail:

DOI

https://doi.org/10.56415/csjm.v32.09

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