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Le Dan, Chau Ngoc Tuan The University of Economics The University of Danang Danang , Vietnam

THE STUDY OF APPLYING DATA MINING MODEL FOR ANALYSING THE QUALITY OF HOPITALS’ HEALTHCARE SERVICES IN THE CENTRAL REGION AND HIGHLANDS OF VIETNAM. Le Dan, Chau Ngoc Tuan The University of Economics The University of Danang Danang , Vietnam. Introduction.

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Le Dan, Chau Ngoc Tuan The University of Economics The University of Danang Danang , Vietnam

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  1. THE STUDY OF APPLYING DATA MINING MODEL FOR ANALYSING THE QUALITY OF HOPITALS’ HEALTHCARE SERVICES IN THE CENTRAL REGION AND HIGHLANDS OF VIETNAM Le Dan, Chau Ngoc Tuan The University of Economics The University of Danang Danang, Vietnam

  2. Introduction • In these recent years, measuring the satisfaction of patients to health services in Vietnam is more and more interested. • This project will present the data mining technique according to CRISP-DM to determine the model for measuring the effects of some factors to the satisfaction level. • With experimental results from some hospitals in the Central and Central Highlands in Viet Nam, the authors assessed and modified the model by using the Cronbach’s Alpha coefficient, the exploratory factor analysis, the confirmatory factor analysis; and the structural equation modeling and the variance analysis with the support from SPSS and AMOS. • The achieved results would become the background for the solutions to improve the satisfaction of patients.

  3. The CRISP – DM (CRoss-Industry Standard Process for Data Mining) process

  4. The proposed model and Hypothesis

  5. Functional quality (FUN)

  6. Tangible (TAN)

  7. Reliability (REL)

  8. Empathy (EMP)

  9. Assurance (ASS)

  10. Responsiveness (RES)

  11. Technical quality (TEC)

  12. Image (IMA)

  13. Satisfaction (SAT)

  14. Samples • 1500 questionnaires and the respondentwasalso 1500 withresponse rate of 100%. • 03 irregular questionnaires: lack of information or choose more than one option. • 1497 regular questionnaires as following distribution:

  15. The Cronbach’s Alpha coefficient of the factors

  16. The result of rotation in factor analysis

  17. The estimating parameters of the model Chi-quared/df= 5.767; CFI = 0.897<0.9 and TLI = 0.888< 0.9

  18. The estimating parameters of the modified model Chi–squared/df = 2.712<3; CFI = 0.964>0.9 and TLI =0.960> 0.9, RMSE =0.034<0.05

  19. The results of Bootstrap method with N=3000

  20. The results of testing hypotheses about the relationship of factors

  21. The standardized model

  22. The results of variance analysis

  23. Multiple Comparisons *. The mean difference is significant at the 0.05 level.

  24. Conclusion • The satisfaction to healthcare services’ quality depends on many factors and there is a large difference between regions, the quality of examination and treatment, ethnic and so on. • The leaders of the hospitals have searched for solutions to improve the healthcare services’ quality. • There are more and more data need to be analyzed for decision making; the data is increasing and more various, and in some cases data is abnormal and inadequate to give information. • The analysis methods need to be more modern, accurate and the analysis process must be more completed.

  25. Thanks you for your listening

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