Literature review on multi-appointment scheduling problems in hospitals

Marynissen, Joren; Demeulemeester, Erik

doi:10.1016/j.ejor.2018.03.001

Cited by 86 publications

(48 citation statements)

References 122 publications

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“…The proposed methodology is a hybrid metaheuristic framework combining iterated greedy and variable neighborhood descent components. Marynissen and Demeulemeester (2019) reviews documents on multi-appointment scheduling problems in hospitals, in which patients need to sequentially visit multiple resource types to receive treatment or be diagnosed. Each patient is assigned a specific path over a subset of the resources and each step has to be scheduled.…”

Section: Public Goodsmentioning

confidence: 99%

Modern Optimization and Simulation Methods in Managerial and Business Economics: A Review

Calvet

Torre

Goyal

et al. 2020

Administrative Sciences

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Managerial and Business Economics (ME/BE) aims at using quantitative and computational methods to make an efficient (ideally optimal) assignment of the scarce resources owned by firms and organizations. In the current global market, characterized by a fierce competition, an optimal use of the available resources is more important than ever for guaranteeing the economical sustainability of organizations and enterprises of any size. Heuristic optimization algorithms and simulation methods have been successfully employed to analyze and enhance complex systems and processes in a myriad of ME/BE-related fields. This paper reviews recent works on the use of these methodologies in competitive markets, as well as in imperfect markets considering externalities. The paper also discusses open challenges and how state-of-the art methods combining optimization, simulation, and machine learning can contribute to properly address them.

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Section: Public Goodsmentioning

confidence: 99%

Modern Optimization and Simulation Methods in Managerial and Business Economics: A Review

Calvet

Torre

Goyal

et al. 2020

Administrative Sciences

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“…In the literature, according to the cost structure and arrival time, most scholars believe that patients can be divided into some categories: outpatients, inpatients and emergency patients, they pay attention to the scheduling of different types of patients, and make their waiting time tied to the hospital income [33][34][35]. In addition, some scholars linked patient satisfaction with economic benefits of hospitals, and considered the patients' time preferences and doctors' preferences.…”

Section: Literature Reviewmentioning

confidence: 99%

Optimizing Daily Service Scheduling for Medical Diagnostic Equipment Considering Patient Satisfaction and Hospital Revenue

et al. 2018

Sustainability

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Under the background of the unbalanced supply and demand of medical diagnostic equipment and rising health care costs, this study aims to optimize the service scheduling for medical diagnostic equipment so as to improve patient satisfaction by ensuring the equipment utilization rate and hospital revenue. The finite horizon Markov Decision Process (MDP) was adopted to solve this problem. On the basis of field research, we divided patients into four categories: emergency patients, inpatients, appointed outpatients, and the randomly arrived outpatients according to the severity of illness and appointment situations. In the construction of the MDP model, we considered the possibility of cancellation (no-show patients) in scheduling optimization. Combined with the benefits and costs related to patient satisfaction, based on the value iteration algorithm, we took patient satisfaction and hospital revenue as the objective functions. Results indicated that, compared with the current scheduling strategy, the integrated strategy proposed in this study has a better performance, which could maintain the sustainable usage rate of large medical resources and patient satisfaction.

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“…Klassen and Yoogalingam (2019) investigated the effect of adding mid-level service providers (assistants and nurse practitioners) on patient wait time, flow time and physician service time. Cayirli and Veral (2003), Lakshmi and Iyer (2013) and Marynissen and Demeulemeester (2019) provide a comprehensive survey on appointment scheduling problems in an Outpatient setting. But in emerging economies such as Pakistan, all outpatients are walk-in with variable arrival pattern, hence a dynamic framework which continuously monitors the patient flow system will be more effective.…”

Section: Introductionmentioning

confidence: 99%

An optimized queue management system to improve patient flow in the absence of appointment system

Safdar

Emrouznejad

Dey

2020

IJHCQA

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PurposeThe aim of this research study is to develop a queue assessment model to evaluate the inflow of walk-in outpatients in a busy public hospital of an emerging economy, in the absence of appointment systems, and construct a dynamic framework dedicated towards the practical implementation of the proposed model, for continuous monitoring of the queue system.Design/methodology/approachThe current study utilizes data envelopment analysis (DEA) to develop a combined queuing–DEA model as applied to evaluate the wait times of patients, within different stages of the outpatients' department at the Combined Military Hospital (CMH) in Lahore, Pakistan, over a period of seven weeks (23rd April to 28th May 2014). The number of doctors/personnel and consultation time were considered as outputs, where consultation time was the non-discretionary output. The two inputs were wait time and length of queue. Additionally, VBA programming in Excel has been utilized to develop the dynamic framework for continuous queue monitoring.FindingsThe inadequate availability of personnel was observed as the critical issue for long wait times, along with overcrowding and variable arrival pattern of walk-in patients. The DEA model displayed the “required” number of personnel, corresponding to different wait times, indicating queue build-up.Originality/valueThe current study develops a queue evaluation model for a busy outpatients' department in a public hospital, where “all” patients are walk-in and no appointment systems. This model provides vital information in the form of “required” number of personnel which allows the administrators to control the queue pre-emptively minimizing wait times, with optimal yet dynamic staff allocation. Additionally, the dynamic framework specifically targets practical implementation in resource-poor public hospitals of emerging economies for continuous queue monitoring.

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Literature review on multi-appointment scheduling problems in hospitals

Cited by 86 publications

References 122 publications

Modern Optimization and Simulation Methods in Managerial and Business Economics: A Review

Modern Optimization and Simulation Methods in Managerial and Business Economics: A Review

Optimizing Daily Service Scheduling for Medical Diagnostic Equipment Considering Patient Satisfaction and Hospital Revenue

An optimized queue management system to improve patient flow in the absence of appointment system

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