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Healthcare decision support tool: multi-agent system for bed management
LTSIRS Laboratory, Tunis EL Manar University, ENIT, 1002 Tunis, Tunisia.
Linköping University, Faculty of Science & Engineering. Linköping University, Department of Management and Engineering, Business Administration.
LTSIRS Laboratory, Tunis EL Manar University, MIS Laboratory, ESIEE-Amiens, UPJV University, France.
Laboratoire d'Automatique, de Mécanique, d'Informatique, Industrielles et Humaines (LAMIH), University of Valenciennes,, France..
2018 (English)In: International Journal of Applied Management Science, ISSN 1755-8913, E-ISSN 1755-8921, Vol. 10, no 1, p. 59-71Article in journal (Refereed) Published
Abstract [en]

The effective management of the allocation of limited resources such as beds is a key to the delivery of timely, high quality and low cost healthcare. However, an efficient utilisation of beds is not easy to accomplish because of the complexity of the healthcare system and the higher amount of problems that the hospitals are facing such as the overcrowding. Moreover, in order to solve these problems, effective bed management remains one of the prominent solutions for the majority of hospitals. In this paper, a decision support system based on multi-agent systems has been proposed. The suggested tool will assist healthcare practitioners to manage beds in the hospitals and also to address the problem of bed management by offering a referral depending on availability of beds to avoid tension in hospitals.

Place, publisher, year, edition, pages
2018. Vol. 10, no 1, p. 59-71
National Category
Other Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
URN: urn:nbn:se:liu:diva-213137DOI: 10.1504/ijams.2018.089954OAI: oai:DiVA.org:liu-213137DiVA, id: diva2:1953332
Available from: 2025-04-20 Created: 2025-04-20 Last updated: 2025-04-23

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Publisher's full texthttps://www.inderscienceonline.com/doi/epdf/10.1504/IJAMS.2018.089954

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