Impulse response function analysis of the impacts of hospital accreditations on hospital efficiency

dc.contributor.author Lin, Fengyi
dc.contributor.author Deng, Yung-Jr
dc.contributor.author Lu, Wen-Min
dc.contributor.author Kweh, Qian Long
dc.date.accessioned 2020-01-23T12:01:23Z
dc.date.available 2020-01-23T12:01:23Z
dc.date.copyright 2019 en_US
dc.date.issued 2019
dc.description Full text of this article is available in CUD LRC electronic resources at: https://search-proquest-com.ezp.cud.ac.ae/docview/2176573906?pq-origsite=summon. en_US
dc.description.abstract Improving hospital efficiency is an emerging area of interest among policy makers in the new global economy’s healthcare system. To ensure accurate efficiency analyses, we consider the nonhomogeneous input/output characteristics of various hospital departments, particularly the Department of Medicine, Department of Surgery, and Department of Other Specialist Medicine. These departments employ co-inputs to produce nonhomogeneous outputs. Specifically, we employ data envelopment analysis to evaluate the efficiency of 15 veterans hospitals in Taiwan. Empirical results show that the performance of the Department of Surgery has higher quality than that of the Department of Medicine and Department of Other Specialist Medicine. In addition, we include another data science technique, namely, impulse response function analysis. The findings indicate that “the New Hospital Accreditation” introduced in 2007 and revised in 2011 improved the efficiency of all departments in their respective first year of introductions. By contrast, the efficiencies of the Department of Surgery and Department of Other Specialist Medicine immediately decreased in the second year after the introductions. © 2019, Springer Science+Business Media, LLC, part of Springer Nature. en_US
dc.description.sponsorship Ministry of Science and Technology, Taiwan en_US
dc.description.uri http://hdl.handle.net/20.500.12519/18
dc.identifier.citation Lin, F., Deng, Y.-J., Lu, W.-M., & Kweh, Q. L. (2019). Impulse response function analysis of the impacts of hospital accreditations on hospital efficiency. Health Care Management Science, 22(3), 394–409. https://doi.org/10.1007/s10729-019-09472-6 en_US
dc.identifier.issn 13869620
dc.identifier.uri https://search-proquest-com.ezp.cud.ac.ae/docview/2176573906?pq-origsite=summon
dc.identifier.uri http://hdl.handle.net/20.500.12519/18
dc.language.iso en en_US
dc.publisher Springer New York LLC en_US
dc.relation Authors Affiliations: Lin, F., Department of Business Management at the College of Management, National Taipei University of Technology, No.1, Sec. 3, Zhongxiao E. Rd., Da an Dist, Taipei City, 106, Taiwan; Deng, Y.-J., Department of Business Management at the College of Management, National Taipei University of Technology, No.1, Sec. 3, Zhongxiao E. Rd., Da an Dist, Taipei City, 106, Taiwan; Lu, W.-M., Department of Financial Management, National Defense University, No. 70, Sec. 2, Zhongyang North Rd., Beitou, Taipei, 112, Taiwan; Kweh, Q.L., Faculty of Management, Canadian University Dubai, P.O. Box 117781, 1st Interchange, Sheikh Zayed Road, Dubai, United Arab Emirates
dc.relation.ispartofseries Health Care Management Science;Vol. 22, no. 3
dc.rights Permission to reuse the abstract has been secured from Springer New York LLC.
dc.rights.holder Copyright : 2019, Springer Science+Business Media, LLC, part of Springer Nature
dc.subject Data envelopment analysis en_US
dc.subject Hospital accreditation en_US
dc.subject Hospital efficiency en_US
dc.subject Impulse response function en_US
dc.subject Nonhomogeneous departments en_US
dc.subject Accreditation en_US
dc.subject Article en_US
dc.subject Data science en_US
dc.subject Human en_US
dc.subject Multicenter study en_US
dc.subject Taiwan en_US
dc.subject Veteran en_US
dc.title Impulse response function analysis of the impacts of hospital accreditations on hospital efficiency en_US
dc.type Article en_US
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