02145oam 2200421zu 450 99620205500331620210807002657.01-5090-8690-0(CKB)1000000000331073(SSID)ssj0000451855(PQKBManifestationID)12140694(PQKBTitleCode)TC0000451855(PQKBWorkID)10463377(PQKB)11718263(NjHacI)991000000000331073(EXLCZ)99100000000033107320160829d2007 uy engur|||||||||||txtccr20th IEEE International Symposium on Computer-Based Medical Systems (CBMS 2007): Maribor, Slovenia 20-22 June 2007[Place of publication not identified]IEEE Computer Society Press20071 online resource (750, 118 papers pages) illustrationsBibliographic Level Mode of Issuance: Monograph0-7695-2905-4 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.Artificial intelligenceMedical applicationsCongressesMedicineData processingCongressesArtificial intelligenceMedical applicationsMedicineData processing610.28563PQKBPROCEEDING99620205500331620th IEEE International Symposium on Computer-Based Medical Systems (CBMS 2007): Maribor, Slovenia 20-22 June 20072415643UNISA