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[null,"1.","Record Nr.",null,"UNINA9910142720403321"]
[null,null,"Titolo",null,"20th IEEE International Symposium on Computer-Based Medical Systems (CBMS 2007): Maribor, Slovenia 20-22 June 2007"]
[null,null,"Pubbl/distr/stampa",null,"[Place of publication not identified], : IEEE Computer Society Press, 2007"]
[null,null,"ISBN",null,"9781509086900"]
[{"$nulls":4},"1509086900"]
[null,null,"Descrizione fisica",null,"1 online resource (750, 118 papers pages) : illustrations"]
[null,null,"Disciplina",null,"610.28563"]
[null,null,"Soggetti",null,"Artificial intelligence - Medical applications"]
[{"$nulls":4},"Medicine - Data processing"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,null,"Note generali","Bibliographic Level Mode of Issuance: Monograph"]
[null,null,null,"Sommario/riassunto","In this paper, we present a modelling framework for patient flow in a healthcare system using semi-open queueing network models, which introduces a total bed constraint, above which new patients will be refused admission. Hence this model provides a realistic representation of a real system. This approach enables us to have access to a range of established methods that deals with queueing network models. We demonstrate the usefulness of the model in the context of a geriatric department and show that hospital managers can use this model to gain better understanding of the dynamics of patient flow and to study potential long-term impacts of policy changes."]