Assessing the Health Care Efficiency by using Classification Analyses

In order to reduce costs ensuring good standards, all the health institutions are increasingly encouraged to implement rational tools (able to fastly identify the inefficiency situations) for the better management of available resources and the best cost-benefit ratio. This contribution aims to study and investigate efficiency in health organization using multivariate methods of data mining (first, segmentation analysis; after that, neural networks). Its practical interest will be directed in particular to the assessment of organizational appropriateness in health care, in order to evaluate the incidence of the “day hospital” and “day surgery” procedures, analyzing their relevance in the health system as well as their appropriate level in the Apulian region. One of the results of such analysis is to understand some decisional mechanism of the Health Care management, as well as the structure of inefficiency in the health network