An integrated HFMEA simulation-based multi-objective optimisation model to improve the performances of hospitals: A case study

Rise, Zeinab Rahimi; Ershadi, Mohammad Mahdi

doi:10.1080/17477778.2021.2015260

Cited by 3 publications

(1 citation statement)

References 54 publications

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“…If many patients need care services, the ordered patients who arrive later may be scheduled ahead of those who come earlier, causing the system to enhance its "rate of service." is study proposes a combination of ABS [124][125][126] and nonlinear mixedinteger programming (MIP) to reduce WTS in Ass [127][128][129]. ABS [130] updated their concept for broad adoption, and it has been effectively implemented at ten ASs and several hospital units.…”

Section: Simulation-based Complexity Of Healthcarementioning

confidence: 99%

Appointment Scheduling Problem in Complexity Systems of the Healthcare Services: A Comprehensive Review

Ala

Chen

2022

Journal of Healthcare Engineering

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This paper provides a comprehensive review of Appointment Scheduling (AS) in healthcare service while we propose appointment scheduling problems and various applications and solution approaches in healthcare systems. For this purpose, more than 150 scientific papers are critically reviewed. The literature and the articles are categorized based on several problem specifications, i.e., the flow of patients, patient preferences, and random arrival time and service. Several methods have been proposed to shorten the patient waiting time resulting in the shortest idle times in healthcare centers. Among existing modeling such as simulation models, mathematical optimization techniques, Markov chain, and artificial intelligence are the most practical approaches to optimizing or improving patient satisfaction in healthcare centers. In this study, various criteria are selected for structuring the recent literature dealing with outpatient scheduling problems at the strategic, tactical, or operational levels. Based on the review papers, some new overviews, problem settings, and hybrid modeling approaches are highlighted.

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