The Comparison of Models about Cash Flow Magament for Medical Institution in the Future—ARIMA VS. BC Model

• Main Authors: Chia-Jen Chang, 張嘉仁
• Other Authors: Ching-Wen Chien
• Format: Others
• Language: zh-TW
• Published: 2006
• Online Access: http://ndltd.ncl.edu.tw/handle/61728230655986288133

碩士 === 國立陽明大學 === 醫務管理研究所 === 94 === 英文摘要 Under the Health Insurance Payment System of Taiwan , have caused a lot of hospitals to face the predicament on the financial affairs , and then influence the medical industrial structure , the impact can go on in medical treatmenting accessibility and local economic society. So this text does a discussion to the financial situation of the hospital. This text has utilized BCG model and ARIMA model to analyse the financial situation of the hospital, a further one can be more accurate to grasp the financial situation of the hospital . This text mainly utilizes BCG model to regard medical industry as the case for the first time, assay with t-test, Pearson assays and analyses coefficient correlation , with the independent variable to make analysis while defining , the factors found out and financial present situation comparative analysis of the hospital , in order to understand the financial management state of hospital. And the result of study shows that it is most apparent that the account payable and sinventory influence the financial situation of the hospital. ARIMA model predicts the financial situation in the future of the hospital to the financial situation of the hospital in addition. To above-mentioned results, this research sugest to the researcher for the future , can also make the analysis with quadric regression forecast, and suppose to the model in this research that comparatively simplifies , intend to be a researcher similar to this research backward, can put into other parameter influence , for instance sharp- peak period among model, accuracy that can make the model predict . Having 48 only for 4 years on the sample of this research on the other hand, researchers for the future should increase samples , the model could be more intact.