Abstract
With the raising awareness of disease prevention and healthcare as well as the popularization of social security, people in Taiwan tend to seek for higher quality of medication. For these reasons, more selections of medical treatments appeared to fulfill the mass. Due to the competitive pressure, hospitals have not only improved their service and medical technology, but also many new and valuable equipment were invested and introduced to medical treatments. According to the statistics of National Health Insurance Administration (NHI) for high capital expenditure equipments including CT (Computerized Tomography) and MRI (Magnetic Resonance Imaging) stands for the largest proportion of our health insurance expense and is increasing annually. Despite that NHI has establish the policy of global budget system to raise the payment condition, hospitals still regularly eliminate and purchase valuable equipment at no cost in order to meet the needs of medical treatment and to improve the accuracy of medical detective rate. For this way, hospitals can not only gain the trust of people but also mainly to increase their revenue in a more rapid way and balance between expenditure. There are great varieties of medical equipment in a hospital and many of them are valuable equipment. Every year, great amount of budget will be spent on the purchase of new equipment and signing maintenance contracts. Up to now, few thesis focus on the management or the decision making of purchasing medical equipment. This study aims to apply the concept of Total Resource Management (TRM) to build up the structure of resource managing and the decision making of investing medical equipment in hospitals. By PCDA cycle, we can continuously control the efficiency of valuable equipment upon its clinical usage. Medical departments can promptly adjust their strategies of resource using and improve their services and furthermore, to evaluate the right timing for purchasing valuable equipment. Then, we will focus on the overall benefit evaluation for MRI machines in a specific regional hospital. By applying Simple Multi-Attribute Ranking Technique (SMART) in UNISON Decision Analysis Framework, we are able to analyze the purchase of new machines in a more systematic way. Form this study, we will find out positive effects for valuable equipment management as well as improving the quality of medical treatments in the hospitals to increase competitiveness.