Responsabilità sanitaria e valutazione del rischio di Malpractice di una struttura Ospedaliera. Un modello Fuzzy.

One of the main problem that all the Healthcare systems have been called to handle in the lastdecades is how transposing to health structures the rules and concepts that usually supervise the productivesystem and companies, such as the typical form of control and responsibility.Despite the efforts in terms of standardization and control of health care activity, what Health structures andInsurance Companies still look to miss is a well and commonly defined concept of risk in a medicalenviro nment, probably due to the presence of quantitative as well qualitative significant aspects.What follows is a bad modelling of the complex nature of the problem, unable to provide meaningful results todescribe health outcome and medical practice riskness by the usage of simple score cards dealing with thequantitative aspects only.The aim of this paper is providing an original alternative solution based on a fuzzy inference system to betterdefine and study the imprecise nature who links qualitative and quantitative variables of the subject, in order toevaluate and rank the risk of error connected to health practice (Malpractice).The same technology, here implemented to evaluate a risk index concerning organisational and activity figuresof a single ward of an hospital, could probably find useful application if extended to the whole health structureor to monitor in progress the riskness of the single treatment procedure, through the combined analysis ofstructural data and clinical figures of the patient.