A new software tool for analyzing mental health data in a spanish region

Abstract

Mental Health disorders such as schizophrenia, depression, and dementia have a great impact on society worldwide. Recent developments have witnessed numerous advances in telemedicine that allow remote monitoring of elderly people with diseases of this pathology. One of key factors influencing recent advances in health information systems is the use of data extraction robust techniques used to extract knowledge from medical databases. The main objective of the paper is to develop a web application that allows extracting knowledge from a database of patients with psychiatric disorders and helps health personnel to know in depth the existing patient profiles and thus improve decision making. The scenario chosen for this study consists in a government of Castile and Leon database of 53641 income records of patients with Mental Health disorders between 2005 and 2015. Applying descriptive statistics for the analysis of data, the results show different parameters regarding Hospitalization behavior such as rate, average, hospitalization days of the patient’s number per hospital and outsourcing services.