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This paper presents a new double hybridized genetic algorithm for optimizing the variable order in Reduced Ordered Binary Decision Diagrams. The first hybridization adopts embryonic chromosomes as prefixes of variable orders instead of complete variable orders and combines a branch & bound technique with the basic geneticalgorithm. The second hybridization is done with the existing sifting algorithm, known as one of the most effective heuristic for this problem, which is incorporated as a hypermutation operator.

This chapter describes and discusses the applications and solutions under development or implemented in the e-Health care systems, in terms of their technological, social, organizational dimensions. A survey of the present status in relation with e-Government covers the leading countries (and not only) in ICT-based developments in these sectors. The authors present the most important solutions regarding the implementation and administration of a wide range of applications. Certain issues concerning EHR (Electronic Healthcare Record Systems), pharmacy and electronic prescription systems, patient administration and financial systems, intensive care unit systems, laboratory information systems, homecare and telecare applications, radiology information systems, and bioinformatics are outlined. Up and running ICT projects according to European Commission policies for health, ageing well, inclusion, and governance (FP7) are also presented.

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