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Health network mergers and hospital re-planning / E. D. Günes in Journal of the operational research society (JORS), Vol. 61 N° 2 (Fevrier 2010) 

Public ISBD [article]  in Journal of the operational research society (JORS) > Vol. 61 N° 2 (Fevrier 2010) . - pp. 275–283 Titre : Health network mergers and hospital re-planning Type de document : texte imprimé Auteurs : E. D. Günes, Auteur ; H. Yaman, Auteur Année de publication : 2011 Article en page(s) : pp. 275–283 Note générale : Recherche opérationnelle Langues : Anglais (eng) Mots-clés : Hospital  networks  Merger  and  acquisition  Hospital  planning  Quality  constraints  Resource  allocation Index. décimale : 001.424 Résumé : This paper presents an integer programming formulation for the hospital re-planning problem which arises after hospital network mergers. The model finds the best re-allocation of resources among hospitals, the assignment of patients to hospitals and the service portfolio to minimize the system costs subject to quality and capacity constraints. An application in the Turkish hospital networks case is illustrated to show the implications of consolidation of health insurance funds on resource allocations and flow of patients in the system. DEWEY : 001.424 ISSN : 0160-5682 En ligne : http://www.palgrave-journals.com/jors/journal/v61/n2/abs/jors2008165a.html [article] Health network mergers and hospital re-planning [texte imprimé] / E. D. Günes, Auteur ; H. Yaman, Auteur . - 2011 . - pp. 275–283. Recherche opérationnelle Langues : Anglais (eng) in Journal of the operational research society (JORS) > Vol. 61 N° 2 (Fevrier 2010) . - pp. 275–283 Mots-clés : Hospital  networks  Merger  and  acquisition  Hospital  planning  Quality  constraints  Resource  allocation Index. décimale : 001.424 Résumé : This paper presents an integer programming formulation for the hospital re-planning problem which arises after hospital network mergers. The model finds the best re-allocation of resources among hospitals, the assignment of patients to hospitals and the service portfolio to minimize the system costs subject to quality and capacity constraints. An application in the Turkish hospital networks case is illustrated to show the implications of consolidation of health insurance funds on resource allocations and flow of patients in the system. DEWEY : 001.424 ISSN : 0160-5682 En ligne : http://www.palgrave-journals.com/jors/journal/v61/n2/abs/jors2008165a.html