Integrated DEA and BCG matrix to evaluate operation performance and productivity for DOH hospitals

• Main Authors: Kuo-Hsien Lu, 呂國賢
• Other Authors: Ching-Hsue Cheng
• Format: Others
• Language: zh-TW
• Published: 2010
• Online Access: http://ndltd.ncl.edu.tw/handle/10774410630531725841

碩士 === 雲林科技大學 === 資訊管理系碩士班 === 98 === After 1995 the implementation of the National Health Insurance, the domestic medical environment has changed rapidly, and the more competitive capacity among hospitals. Accompanied with the financial depress of government, the executive of public hospitals are more concerned about how to cut down management costs, allocate internal resources efficiently, and to improve health care quality and business performance. This study aims to explore the operation performance of Department of Health (DOH) hospitals in 2008, and analyze the situation of efficiency changes between 2005 and 2008 by using Data Envelopment Analysis (DEA). The decision making units (DMU) and research objects are 28 DOH hospitals, and select 8 input variables and 3 output variables from DOH in Taiwan. In verification, this study uses CCR and BCC model to analyze single year performance, and integrates the Malmquist Productivity Index (MPI) and Boston Consulting Group (BCG) matrix to analyze the efficiency changes across periods. The results show that in 2008, there are 21 (75%) of 28 DOH hospitals with the overall efficiency, 24 hospitals (85%) with pure technical efficiency, 21 hospitals (75%) with scale efficiency, and 21 hospitals (75%) with constant returns to scale. The year 2008 is better than year 2007 in operation performance of hospitals. And then we compare 2008 with across periods between 2005 and 2007 using MPI under efficiency changes, there are 14 hospitals (50%) with increasing productivity in each year. However, 5 hospitals (17%) are low efficiency and poor productivity in the BCG matrix. The results can help the administration agency to understand the performance of DOH hospitals, also provide suggestions for inefficiency hospitals as the reference of policy making and future development, and to enhance competitive advantage of DOH hospitals.