Interdisplinary Journal of Research and Development “Alexander Moisiu“ University, Durrës, Albania Vol (I), No.2, 2014 ____________________________________________________________________________________________________ 92 Paper presented in VI th International Scientific Conference on Economic Policy and EU Integration Business Faculty, “Aleksander Moisiu” University December, 2014 EFFICIENCY ANALYSIS IN HEALTH CARE BY MULTIVARIATE CLASSIFICATION METHODS Francesco D. d'OVIDIO 1 , Domenico LEOGRANDE 2 , Rossana MANCARELLA 3 , Domenico VIOLA 4 1 Department of Economics and Mathematics francescodomenico.dovidio@uniba.it 2 Department of Business and Private Law Studies domenico.leogrande@uniba.it 3 Department of Business and Private Law Studies rossanamancarella@gmail.com , University of Bari “Aldo Moro”, Largo Abbazia Santa Scolastica, 70124 Bari, Italy Abstract Due to the rapidly rising costs and to limited financial resources, in recent years, the European health institutions were increasingly encouraged to implement rational tools in order to better manage available resources and to make efficient choices in order to have the best cost-benefit ratio. Due to the strategic role of the Health Care sector is very important in an economic system, the fulfilment of the European standards government requires to develop tools able to fastly identify the inefficiency situations. This contribution aims to study and investigate efficiency in health organization using multivariate methods of data mining (by example, segmentation analysis and 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, analysing 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. Key words; health system, segmentation analysis, cost benefit ratio. Introduction: framework of the research This paper aims to evaluate statistical techniques (such as segmentation analysis sample) the quality of hospital services, paying particular attention to a specific aspect: the organizational appropriateness, referring to the use of the instrument of the "day hospital". The organizational appropriateness of health care, particularly in hospital admissions, has recently become a topic of great interest not only in Italy. The overall intention is to move, where possible, assistance from the hospital to the area and avoid unnecessary hospitalizations, or they can be adequately addressed by other means of assistance. In light of this, the objective of this work is to verify, by means of statistical procedures, the organizational appropriateness of hospital admissions made in public and private institutions in a local area, from 2003 to 2008 (latest correct data available at this time, but the identified methodology can be easily applied also to the most recent data). This survey was carried out by using data provided by the Regional Health (ARES) of the Apulia region, consisting of all the information (except identity data) that can be extrapolated from hospital discharge records (HDR) of patients admitted in that region within the relevant time for the survey. The data included in the HDR (now including more than 65,000 diagnostic codes) are grouped according to different classifications: the DRG system (Diagnosis related groups), and the grouping system ACC (Aggregated Clinical Codes, now known as