title: Interoperability optimization in healthcare collaboration networks.
abstract: Interoperability is one of the most challenging concerns that face healthcare information system (HIS) actors. Interoperability implementation in this context may be a data exchange interfacing, a service oriented interaction or even a composition of new composite healthcare processes. In fact, optimizing efforts of interoperability achievement is a key requirement to effectively setup, develop and evolve intra- and interorganizational collaboration. To ensure interoperability project effectiveness, this paper proposes a modeling representation of health processes interoperability evolution. Interoperability degrees of involved automated processes are assessed using a ratio metric, taking into account all significant aspects, such as potentiality, compatibility and operational performance. Then, a particle swarm optimization algorithm (PSO) is used as a heuristic optimization method to find the best distribution of effort needed to establish an efficient healthcare collaborative network.
authors: Biomedical Technology Department, College of Applied Medical Sciences, King Saud University, P.O. Box 91138, Riyadh 11633, Saudi Arabia. nabil@ksu.edu.sa
authors: Nabil A
authors: NA
authors: Alrajeh
authors: Badr
authors: B
authors: Elmir
authors: Bouchaïb
authors: B
authors: Bounabat
authors: Norelislam
authors: N
authors: El Hami
mesh_terms: D000465:Algorithms; D003198:Computer Simulation / Q000592:standards*; D003199:Computer Systems / Q000706:statistics & numerical data*