Nursing service planning for the satisfaction of patients: models and algorithms

Sharifi, Seyed Sirvan and Nejad Attari, Mahdi Yousefi and Ebadi Torkayesh, Ali and Jami, Ensiyeh Neishabouri (2021) Nursing service planning for the satisfaction of patients: models and algorithms. International Journal of Services and Operations Management, 39 (3). pp. 377-398. ISSN 1744-2370 (Print) 1744-2389 (Online)

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In this study, we aim to plan nursing services in order to reduce number of personnel and increase patient satisfaction in hospitals. Lack of enough expert staff is one of the main reasons for long-term waiting period of patients in hospitals. This research is a descriptive-analytical, applicable type that is conducted to determine the minimum required nurses according to patients referring at different times, determine program shift with the minimum required work hours and planning shifts of nurses with the lowest cost for emergency department. Its population includes the referred patients to emergency department and nurses of a medical centre. Time series method is used to predict number of the referred patients to emergency using MINITAB 2016 software. This paper provided a bi-objective mathematical model to minimise the number of nurses and wait time with a focus on patients’ satisfaction. NSGA-II and Bees meta-heuristic algorithms are used as solution approach to solve the model. Results obtained from each algorithm is compared with each other under several indexes.
Item Type: Article
Uncontrolled Keywords: Bees algorithm; Human resource planning; Multi-objective optimisation model; NSGA-II algorithm; Nurse services; Queuing theory
Divisions: Faculty of Engineering and Natural Sciences
Depositing User: Ali Ebadi Torkayesh
Date Deposited: 01 Sep 2022 16:22
Last Modified: 01 Sep 2022 16:22

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