Efficiency Measurement Using Data Envelopment Analysis (DEA) in Public Healthcare: Research Trends from 2017 to 2022

被引：15

作者：

Jung, Sungwook ^{[1
]}

Son, Jiyoon ^{[2
]}

Kim, Changhee ^{[3
]}

Chung, Kyunghwa ^{[4
]}

机构：

[1] Dong A Univ, Dept Business Adm, Pusan 49237, South Korea

[2] Seoul Natl Univ, Inst Management Res, Seoul 08826, South Korea

[3] Incheon Natl Univ, Coll Business Adm, Incheon 22012, South Korea

[4] VinUniv, Coll Business & Management, Hanoi 131000, Vietnam

来源：

PROCESSES | 2023年 / 11卷 / 03期

关键词：

healthcare; DEA; systematic review; efficiency; productivity; medical resource; RESOURCE-ALLOCATION; HOSPITALS; SYSTEMS;

D O I：

10.3390/pr11030811

中图分类号：

TQ [化学工业];

学科分类号：

0817 ;

摘要：

With the shifting healthcare environment, the importance of public healthcare systems is being emphasized, and the efficiency of public healthcare systems has become a critical research agenda. We reviewed recent research on the efficiency of public healthcare systems using DEA, which is one of the leading methods for efficiency analysis. Through a systematic review, we investigated research trends in terms of research purposes, specific DEA techniques, input/output factors used for models, etc. Based on the review results, future research directions are suggested. The results of this paper provide valuable information and guidelines for future DEA research on public healthcare systems.

引用

页数：17

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