Applying data mining model for analyzing the quality of healthcare services: the empirical study for the central region and highlands of Vietnam
Le Dan, Chau Ngoc Tuan
With the support from information technology, data analytic techniques and processes are significantly improved. Consequently, data mining model has been widely introduced and used in data analysis to support decision making. This paper introduces applications of data mining techniques to analyze the factors affecting patients’ satisfaction to the quality of healthcare services. The analysis process is performed according to CRISP – DM (Cross - Industry Standard Process for Data Mining). It also uses the Gi-Du Kang & Jeffrey-James model (2004) to test the causal relationships between factors of healthcare service quality and patients’ satisfaction. The sample data was collected from 1500 patients using healthcare services in hospitals in the Central region and Highlands of Vietnam in the year 2016. The reliability of the data source was assessed using EFA (Exploratory Factor Analysis); and the parameters of the model were estimated using SEM (Structural Equation Modeling), path analysis and Bootstrap analysis.