Evaluating Operating Performance of Clinical Sections in Hospital Using Data Envelopment Analysis --- A Case of Regional Hospital

碩士 === 元智大學 === 經營管理碩士在職專班 === 99 === This article provided Data Envelopment Analysis method ( DEA ) namely the CCRand BCC models, which measure the technical efficiency, scale efficiency and pure technical efficiency of regional hospital through effective measures. Measures were used to understand...

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Bibliographic Details
Main Authors: Hsueh-Yueh Wang, 王雪月
Other Authors: Wei-kang Wang
Format: Others
Language:zh-TW
Published: 2011
Online Access:http://ndltd.ncl.edu.tw/handle/95083496965613345197
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Summary:碩士 === 元智大學 === 經營管理碩士在職專班 === 99 === This article provided Data Envelopment Analysis method ( DEA ) namely the CCRand BCC models, which measure the technical efficiency, scale efficiency and pure technical efficiency of regional hospital through effective measures. Measures were used to understand the utilization of medical resources and peers comparison between subjects and find the most appropriate operational scale and efficiency of various subjects, to be taken as reference for the allocation of resources. From 2009 to 2010 there were a total of 36 clinical divisions, 18 clinical divisions each year which were included in the decision making units that included inputs in terms of the number of physicians, nursing personnel, physician compensation and outputs for the outpatient visits, number of inpatients along with medical income. Research result showed :In 2009 and 2010 there were 18 decision making units in each year, 7 (38.9%) units were relatively efficient, as oppose to 11 (61.1%) units were non-efficient. Within 2 years, the average efficiency value was 76.7% and 76.2% . In 2 years time, the most efficient units were the Endocrinology and Psychiatric division which were reference 10 times. Combining the 2 years, Psychiatric unit(2009) was referred 24 times and the Endocrinology unit(2009) 18 times, making the Psychiatric unit (2009)he best and the Endocrinology unit (2009)coming in second. Regarding input, the biggest difference in efficiency value was in the number of physician followed by nurses, and lastly physician compensation; In terms of output, the largest difference in efficiency value was with medical income, number of inpatients per day, and lastly outpatient visits. Keywords: Data envelopment analysis, regional hospitals, operating performance