• DocumentCode
    2665072
  • Title

    Consensus Forming in Clinical Pathway Development: Norm Based Modeling and Simulation

  • Author

    Zhang, Yunchuan ; Liu, Kecheng ; Cui, Guoxi

  • Author_Institution
    Sch. of Manage., Wuhan Univ. of Sci. & Technol., Wuhan, China
  • fYear
    2008
  • fDate
    10-12 Dec. 2008
  • Firstpage
    931
  • Lastpage
    936
  • Abstract
    Clinical pathway (CP) defines the optimal sequencing and timing for the treatment of a given diagnosis. Its aims include controlling healthcare expenses, improving care quality and some others. CP development team needs consensus about a preferable sequence against the alternatives, in conformity to those sometimes controversial targets. This paper suggests that the team faces a Multi-Objective Combinatorial Optimization problem. A norm based approach is proposed to model the problem, in which feasible solutions are represented as set of norms. A computer simulation system maps a solution to objective variables, then the team can intuitively see what will happen if this set of norms applies. The development team has opportunity to revise the norms and test them again. An artifact example shows how this approach could harnesses efficient from formalized definition and computer simulation, with full regard to human judgment.
  • Keywords
    combinatorial mathematics; health care; medical computing; optimisation; clinical pathway; clinical pathway development; consensus forming; healthcare expenses control; multiobjective combinatorial optimization problem; norm based modeling; optimal sequencing; optimal timing; Biomedical informatics; Computer simulation; Costs; Hospitals; Humans; Medical services; Technology management; Testing; Timing; USA Councils; Clinical pathway; Modeling; Multi-Objective Combinatorial Optimization; Norms; Simulation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Intelligence for Modelling Control & Automation, 2008 International Conference on
  • Conference_Location
    Vienna
  • Print_ISBN
    978-0-7695-3514-2
  • Type

    conf

  • DOI
    10.1109/CIMCA.2008.128
  • Filename
    5172750