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Article

Decision Support for the Optimization of Provider Staffing for Hospital Emergency Departments with a Queue-Based Approach

1
Department of Computer Science, Tunghai University, No. 1727, Section 4, Taiwan Boulevard, Taichung 40704, Taiwan
2
Department of Biological Science and Technology, National Chiao Tung University, No. 1001, Daxue Rd., Hsinchu 30010, Taiwan
3
Information and Communication Research Division, National Chung-Shan Institute of Science & Technology, Taoyuan 32546, Taiwan
4
Department of Orthopedics, Taichung Veterans General Hospital, No. 1650, Section 4, Taiwan Boulevard, Taichung 40705, Taiwan
5
Department of Food Science and Technology, Hung Kuang University, No. 1018, Section 6, Taiwan Boulevard, Taichung 43302, Taiwan
*
Author to whom correspondence should be addressed.
These authors contributed equally.
J. Clin. Med. 2019, 8(12), 2154; https://doi.org/10.3390/jcm8122154
Received: 6 October 2019 / Revised: 20 November 2019 / Accepted: 24 November 2019 / Published: 5 December 2019
(This article belongs to the Special Issue Clinical Medicine for Healthcare and Sustainability)
Deployment or distribution of valuable medical resources has emerged as an increasing challenge to hospital administrators and health policy makers. The hospital emergency department (HED) census and workload can be highly variable. Improvement of emergency services is an important stage in the development of the healthcare system and research on the optimal deployment of medical resources appears to be an important issue for HED long-term management. HED performance, in terms of patient flow and available resources, can be studied using the queue-based approach. The kernel point of this research is to approach the optimal cost on logistics using queuing theory. To model the proposed approach for a qualitative profile, a generic HED system is mapped into the M/M/R/N queue-based model, which assumes an R-server queuing system with Poisson arrivals, exponentially distributed service times and a system capacity of N. A comprehensive quantitative mathematical analysis on the cost pattern was done, while relevant simulations were also conducted to validate the proposed optimization model. The design illustration is presented in this paper to demonstrate the application scenario in a HED platform. Hence, the proposed approach provides a feasibly cost-oriented decision support framework to adapt a HED management requirement. View Full-Text
Keywords: hospital emergency department; queuing theory; decision support; cost optimization hospital emergency department; queuing theory; decision support; cost optimization
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MDPI and ACS Style

Jiang, F.-C.; Shih, C.-M.; Wang, Y.-M.; Yang, C.-T.; Chiang, Y.-J.; Lee, C.-H. Decision Support for the Optimization of Provider Staffing for Hospital Emergency Departments with a Queue-Based Approach. J. Clin. Med. 2019, 8, 2154. https://doi.org/10.3390/jcm8122154

AMA Style

Jiang F-C, Shih C-M, Wang Y-M, Yang C-T, Chiang Y-J, Lee C-H. Decision Support for the Optimization of Provider Staffing for Hospital Emergency Departments with a Queue-Based Approach. Journal of Clinical Medicine. 2019; 8(12):2154. https://doi.org/10.3390/jcm8122154

Chicago/Turabian Style

Jiang, Fuu-Cheng, Cheng-Min Shih, Yun-Ming Wang, Chao-Tung Yang, Yi-Ju Chiang, and Cheng-Hung Lee. 2019. "Decision Support for the Optimization of Provider Staffing for Hospital Emergency Departments with a Queue-Based Approach" Journal of Clinical Medicine 8, no. 12: 2154. https://doi.org/10.3390/jcm8122154

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