Identifying Key Performance Indicators for Holistic Hospital Management with a Modified Dematel Approach
Bibliographic Data
| ID | 15515484 |
|---|---|
| Authors | Shengli Si (Tongji University), Sheng-Li Si (Tongji University), Xiao‐Yue You (0000-0003-1541-5383, Tongji University), Xiao-Yue You (Tongji University), Hu‐Chen Liu (0000-0003-4566-2107, Shanghai University, corresponding author), Jia Huang (0000-0001-7269-6797, Shanghai University) |
| Year | 2017 |
| Volume | 14 |
| Issue | 8 |
| Pages | 934-934 |
| Publication date | 2017-08-19 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | International Journal of Environmental Research and Public Health (JOURNAL) |
| Journal identifiers | ISSN: 1661-7827 • E-ISSN: 1660-4601 |
| Publisher | Multidisciplinary Digital Publishing Institute (PUBLISHER • CH) |
| DOI | 10.3390/ijerph14080934 |
| PMID | 28825613 |
| OpenAlex | W2747715087 |
| Language | EN |
| Citations received | 8 |
| References cited | 47 |
Performance analysis is an important way for hospitals to achieve higher efficiency and effectiveness in providing services to their customers. The performance of the healthcare system can be measured by many indicators, but it is difficult to improve them simultaneously due to the limited resources. A feasible way is to identify the central and influential indicators to improve healthcare performance in a stepwise manner. In this paper, we propose a hybrid multiple criteria decision making (MCDM) approach to identify key performance indicators (KPIs) for holistic hospital management. First, through integrating evidential reasoning approach and interval 2-tuple linguistic variables, various assessments of performance indicators provided by healthcare experts are modeled. Then, the decision making trial and evaluation laboratory (DEMATEL) technique is adopted to build an interactive network and visualize the causal relationships between the performance indicators. Finally, an empirical case study is provided to demonstrate the proposed approach for improving the efficiency of healthcare management. The results show that "accidents/adverse events", "nosocomial infection", ''incidents/errors", "number of operations/procedures" are significant influential indicators. Also, the indicators of "length of stay", "bed occupancy" and "financial measures" play important roles in performance evaluation of the healthcare organization. The proposed decision making approach could be considered as a reference for healthcare administrators to enhance the performance of their healthcare institutions
Business · Computer security · Health care · Key (lock · Multiple-criteria decision analysis · Operations research · Performance indicator · Process management · Risk analysis (engineering · Computer Science · Engineering · Multi-Criteria Decision Making · Research studies in Vietnam
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| Citations per year | 1.14 |
|---|---|
| Citation span | 2019 - 2024 (6) |
| Highly cited | No |