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Efficiency Analysis of Surgical Services by Combined Use of Data Envelopment Analysis and Gray Relational Analysis

  • Patient Facing Systems
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Abstract

The aim of this study was to determine the efficiency of surgical services offered by a public hospital, to rank efficient services and to determine important factors on efficiency of services. DEA (to determine efficiency of services) and GRA (to rank efficient services and ranking of important variables in efficiency) were used in this study. DEA showed that all services were observably efficient except Cardiovascular and Plastic surgery. GRA showed that the services of Ophthalmology, Otorhinolaryngology (ENT) and Paediatric Surgery shared the first three ranks in order of decreasing frequency. Findings obtained from GRA, the most important variables in the performances of surgical services were found to be the number of patients and healthcare personnel. Findings obtained from this study are thought to help inefficient services to attain an efficient structure. When the importance of this issue regarding hospitals and the government is considered, similarly designed studies should be continually updated and revised in line with changing circumstances. When shortcomings in the existing literature are taken into account, this could be considered to be a pioneer study that will contribute to the literature and promote future studies to be conducted on this issue.

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Acknowledgments

The English in this document has been edited for proper English language, grammar, punctuation, spelling, and overall style by one or more of the highly qualified native English speaking editors at American Journal Experts.

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Authors and Affiliations

  1. Eskisehir Osmangazi University, Eskisehir, Turkey

    Nuray Girginer, Tunç Köse & Nurullah Uçkun

Authors
  1. Nuray Girginer
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  2. Tunç Köse
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  3. Nurullah Uçkun
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Correspondence to Tunç Köse.

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This article is part of the Topical Collection on Patient Facing Systems

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Girginer, N., Köse, T. & Uçkun, N. Efficiency Analysis of Surgical Services by Combined Use of Data Envelopment Analysis and Gray Relational Analysis. J Med Syst 39, 56 (2015). https://doi.org/10.1007/s10916-015-0238-y

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