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Multi-criteria comparison of hospita...
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ProQuest Information and Learning Co.
Multi-criteria comparison of hospital efficiencies using nested radial data envelopment analysis models.
紀錄類型:
書目-語言資料,手稿 : Monograph/item
正題名/作者:
Multi-criteria comparison of hospital efficiencies using nested radial data envelopment analysis models./
作者:
Zhang, Qianqian.
面頁冊數:
1 online resource (134 pages)
附註:
Source: Masters Abstracts International, Volume: 55-05.
標題:
Health care management. -
電子資源:
click for full text (PQDT)
ISBN:
9781339928050
Multi-criteria comparison of hospital efficiencies using nested radial data envelopment analysis models.
Zhang, Qianqian.
Multi-criteria comparison of hospital efficiencies using nested radial data envelopment analysis models.
- 1 online resource (134 pages)
Source: Masters Abstracts International, Volume: 55-05.
Thesis (M.S.)--State University of New York at Binghamton, 2016.
Includes bibliographical references
Hospital performance evaluation is an important research topic in recent years. Various models have been used to compare hospitals as well as improve their efficiencies. DEA (Data Envelopment Analysis) is one of the models which has the advantage of dealing with multiple inputs and outputs. DEA efficiency scores are measured by optimizing the ratio of inputs and outputs by varying the weights of the variables.
Electronic reproduction.
Ann Arbor, Mich. :
ProQuest,
2018
Mode of access: World Wide Web
ISBN: 9781339928050Subjects--Topical Terms:
1148454
Health care management.
Index Terms--Genre/Form:
554714
Electronic books.
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Hospital performance evaluation is an important research topic in recent years. Various models have been used to compare hospitals as well as improve their efficiencies. DEA (Data Envelopment Analysis) is one of the models which has the advantage of dealing with multiple inputs and outputs. DEA efficiency scores are measured by optimizing the ratio of inputs and outputs by varying the weights of the variables.
520
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However, there are some constraints in terms of the number of variables. If there are too many variables compared the hospitals need to be compared, the discrimination will be low and most hospitals will be regarded as efficient due to the uniqueness. Thus, there is a need to reduce the dimension of variables. This research compares the hospital efficiency performances in New York State with many variables, using the DEA model, and combining with PCA (Principal Component Analysis) and ECM (Efficiency Contribution Measure) models. PCA is used to initially reduce the number of variables and make them uncorrelated, while ECM is the continuous step which selects the principal components which are crucial in measuring the hospital efficiency scores. This enables the hospitals to be evaluated with a high discrimination. Furthermore, the performances are evaluated by particular aspects of the hospitals such as the patients' experience, and the timely and effective care. Finally, the scores are analyzed for different types of hospitals. The efficiency result could provide reference for both hospital managers and police makers for the aim of improving the hospitals in New York State.
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