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Editor-in-chief
Dr. Lin Huang
Metropolitan State University of Denver, USA
It's my honor to take on the position of editor in chief of IJMLC. We encourage authors to submit papers concerning any branch of machine learning and computing.
IJMLC 2012 Vol.2(6):817-821 ISSN: 2010-3700
DOI: 10.7763/IJMLC.2012.V2.244

Chronological Comparison on Productivity for the Assessment of the Department of Health -Affiliated Hospitals in Taiwan – Application of Malmquist Productivity Index

Ching-Kuo Wei
Abstract—This study used Malmquist Productivity Index and Bilateral Model to investigate the performance of productivity of the DOH (Department of Health)-affiliated in Taiwan in chronological order. The results showed that most of the DOH-affiliated hospitals experienced a progress in efficiency performance, technological transformation, and overall productivity from 2005 to 2006. However, there was a regress in all of them from 2006 to 2007. The reduction in production technology was mainly affected by NHI policies and the change in the management system of the DOH. However, according to the two-year comparison, there was still a progress in 2007, compared with that in 2005. Moreover, there was no significant difference in the operational efficiency between the two regional alliance systems divided by the DOH.

Index Terms—Malmquist productivity index, bilateral model , DOH-affiliated hospitals.

Ching-Kuo Wei is with the Oriental Institute of Technology, New Taipei City, Taiwan. (e-mail: fl003@ mail.oit.edu.tw).

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Cite:Ching-Kuo Wei, "Chronological Comparison on Productivity for the Assessment of the Department of Health -Affiliated Hospitals in Taiwan – Application of Malmquist Productivity Index," International Journal of Machine Learning and Computing vol.2, no. 6, pp. 817-821, 2012.

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