• DocumentCode
    2603108
  • Title

    Healthcare at home facility location-allocation problem

  • Author

    Rodriguez-Verjan, Carlos ; Augusto, Vincent ; Garaix, Thierry ; Xie, Xiaolan ; Buthion, Valerie

  • Author_Institution
    Lab. LIMOS, Ecole Nat. Super. de Mines de St.-Etienne, St. Etienne, France
  • fYear
    2012
  • fDate
    20-24 Aug. 2012
  • Firstpage
    150
  • Lastpage
    155
  • Abstract
    This article presents the healthcare at home (HAH) facility location-allocation problem, introducing new decisions: (i) location of facilities in a region, (ii) assignment of demand to HAH companies, (iii) authorization for delivering some specific care and (iv) allocation of resources. HAH became popular in developed country because they offer flexible services to patients at home while decreasing the number of hospitalized patients. This study is motivated by the two statements: (i) increasing demand for healthcare services such as palliative care due to an ageing population, and (ii) increasing costs in traditional hospitalization due to new economic regulation (fee for service basis, “Tarification à l´activité”). The proposed problem is NP-Hard (multi-period, multi-resource, multi-facility location-allocation problem). Instances derived from real case study (HAH network of Rhone-Alps region) of the problem are solved using the branch and bound procedure of IBM ILOG CPLEX.
  • Keywords
    computational complexity; facility location; health care; optimisation; resource allocation; tree searching; HAH companies; HAH facility location-allocation problem; IBM ILOG CPLEX; NP-hard problem; Rhone-Alps region; ageing population; branch and bound procedure; delivery authorization; demand assignment; developed country; economic regulation; flexible services; healthcare at home facility location-allocation problem; healthcare services; hospitalized patients; multifacility location-allocation problem; multiperiod location-allocation problem; multiresource location-allocation problem; Argon; Authorization; Companies; Hospitals; Mathematical model; Pathology;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Automation Science and Engineering (CASE), 2012 IEEE International Conference on
  • Conference_Location
    Seoul
  • ISSN
    2161-8070
  • Print_ISBN
    978-1-4673-0429-0
  • Type

    conf

  • DOI
    10.1109/CoASE.2012.6386476
  • Filename
    6386476