Computational Intelligence for Modelling, Control and Automation, International Conference on (2008)
Dec. 10, 2008 to Dec. 12, 2008
Clinical pathway (CP) defines the optimalsequencing and timing for the treatment of a givendiagnosis. Its aims include controlling healthcareexpenses, improving care quality and some others. CPdevelopment team needs consensus about a preferablesequence against the alternatives, in conformity tothose sometimes controversial targets. This papersuggests that the team faces a Multi-ObjectiveCombinatorial Optimization problem. A norm basedapproach is proposed to model the problem, in whichfeasible solutions are represented as set of norms. Acomputer simulation system maps a solution toobjective variables, then the team can intuitively seewhat will happen if this set of norms applies. Thedevelopment team has opportunity to revise the normsand test them again. An artifact example shows howthis approach could harnesses efficient fromformalized definition and computer simulation, withfull regard to human judgment.
Clinical pathway, Norms, Modeling, Simulation, Multi-Objective Combinatorial Optimization
Y. Zhang, G. Cui and K. Liu, "Consensus Forming in Clinical Pathway Development: Norm Based Modeling and Simulation," 2008 International Conference on Computational Intelligence for Modelling Control & Automation (CIMCA 2008)(CIMCA), Vienna, 2008, pp. 931-936.