A health case for e-government

Nowadays, e-government is a key theme, focused on a set of digital public utilities offered to citizens in order to reduce administrative burdens with the use of information and communication technologies. The proposed work aims to propose a procedure for simplification of classification of medical and health data in order to efficiently support e-government in healthcare, having a large amount of data (more than 800.000 hospitalizations), provided by healthcare organizations located all over the Apulian territory in 2014. These data must be transformed into information to be managed in an optimal way for the Puglia region. By using different techniques of statistical data exploration and multivariate data analysis, we here focus on a descriptive epidemiological analysis, based on duration of hospitalization, aggregated by clinical diagnosis group (CCS, Clinical Classification Software), distinguishing between multi pathologies within the CCS and between CCS. As reference variable we use not only diagnosis item, but also some variables that characterize each hospitalized patient, such as age, sex, province of residence, the province of birth, month of hospitalization etc.