Oeconomica Jadertina, Vol. 15 No. 1, 2025.
Prethodno priopćenje
https://doi.org/10.15291/oec.4687
Evaluation of the operational efficiency of GH Zadar departments using the DEA method
Zdenko Jukić
orcid.org/0009-0000-2991-4592
; Sveučilište u Rijeci, Ekonomski fakultet
Sažetak
This paper analyzes the efficiency of hospital departments at Zadar General Hospital using
Data Envelopment Analysis (DEA). The focus is on optimizing input and output activities of these
departments to enhance their operational efficiency. The methodology involves constructing a linear
frontier function based on collected input and output departmental data. The analysis employs the
following parameters - inputs: number of hospital beds (P) and number of employed physicians (L), and
outputs: number of discharged patients (BOB) and number of performed examinations (BOP). The CCR
model is utilized to analyze hospital efficiency, demonstrating how departments could reduce their
inputs while maintaining the same output levels, or alternatively, increase their outputs while
maintaining current input levels. Data Envelopment Analysis is employed to measure the relative
efficiency of departments compared to their peers and to identify specific factors that explain their
efficiency. Results indicate significant variability in departmental efficiency, suggesting opportunities
for improvement. Key findings emphasize the need for continuous evaluation and enhancement of
departmental operational efficiency, coupled with the implementation of targeted training programs and
technological investments. Specific strategies are proposed, including consolidation, specialization, and
improved resource management to achieve optimal efficiency. In conclusion, this study provides
empirically-grounded guidelines for decision-making and resource optimization, contributing to
improved hospital operational efficiency. This analysis can serve as a model for similar studies in other
healthcare institutions, aimed at enhancing their efficiency and quality of services provided.
Ključne riječi
efficiency, analysis, hospital, DEA, data envelopment analysis, DMU, decision making units
Hrčak ID:
332522
URI
Datum izdavanja:
1.6.2025.
Posjeta: 705 *