Health Information Management and Patient Profile Estimation Using Data Mining Classification Techniques

Abstract

Nowadays, the rapid advancement of technological developments consists of complex and large databases. Software programmes are needed because it can be very difficult to process the complex data. The aim of the study is to reveal the patient profile by data mining of the hospital information system and to help make strategic decisions according to patient profile analysis in the establishment of a new hospital or additional hospital departments in the future. The application of data mining in the health sector provides the sector with a faster, reliable and different perspective on decision-making by reaching the desired data. For this purpose, data mining decision tree algorithms were applied, and patient profile estimations were found by using the data of patients receiving service from a private health institution with hospitals in different settlements. By categorising the characteristics of the individuals receiving service and the branches from which they receive service, it was revealed with which variables the patient profile is related. It is thought that determining patient profile will help to follow a more accurate path in the stage of meeting their demands.