Modeling Patient''s Behavior of Taking Medical Treatment under National Health Insurance System

• Main Authors: Jung-Chi Chang, 張羢琦
• Other Authors: Jung-Fa Tsai
• Format: Others
• Language: zh-TW
• Published: 2005
• Online Access: http://ndltd.ncl.edu.tw/handle/387czw

碩士 === 國立臺北科技大學 === 商業自動化與管理研究所 === 93 === Since the national health insurance was enforced in 1995, we found that the medical treatment costs continually arise. According to the investigation, we understand that this situation is mainly caused by the waste of health insurance resource and the huge amount of hospital application costs. Though the national health insurance has tried to encourage the patient seeing a doctor in the basic level hospital (ex. clinic) in term of partial payment system, the effect of the system is obviously limited. In order to run the system more effective, understanding the patient’s behavior of taking medical treatment become a crucial task. In this research, a traditional Probit model was constructed to illustrate patient’s decision behavior. The main objective of the developed model is to explore the identification of patient heterogeneity and to understand why patient would choose their specific hospital by using the Hierarchical Bayesian Model (HBM). To demonstrate the effectiveness of the proposed model, the data from Taiwan National Health Insurance Research Database was used. Based on actual application results, we have discovered that the key factors which affect patients choosing hospital level can be successfully identified.