A Mathematical Formulation for Reducing Overcrowding in Hospitals' Waiting Rooms

Caselli, Giulia; Santis, De; Delorme, Maxence; Iori, Manuel

doi:10.1109/ieem50564.2021.9673050

Cited by 1 publication

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References 8 publications

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“…During the COVID-19 emergency, social distancing was identified as one of the most effective measures to limit the spread of the virus. Caselli et al proposed an integer linear programming model to determine the optimal layout of outpatient services to reduce the congestion in the waiting room [10]. The experimental results on real hospital data show that this method can reduce congestion by 80% on average.…”

Section: Introductionmentioning

confidence: 99%

Research on outpatient capacity planning combining lean thinking and integer linear programming

Yang

et al. 2023

BMC Med Inform Decis Mak

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Background The size and cost of outpatient capacity directly affect the operational efficiency of a whole hospital. Many scholars have faced the study of outpatient capacity planning from an operations management perspective. Objective The outpatient service is refined, and the quantity allocation problem of each type of outpatient service is modeled as an integer linear programming problem. Thus, doctors’ work efficiency can be improved, patients’ waiting time can be effectively reduced, and patients can be provided with more satisfactory medical services. Methods Outpatient service is divided into examination and diagnosis service according to lean thinking. CPLEX is used to solve the integer linear programming problem of outpatient service allocation, and the maximum working time is minimized by constraint solution. Results A variety of values are taken for the relevant parameters of the outpatient service, using CPLEX to obtain the minimum and maximum working time corresponding to each situation. Compared with no refinement stratification, the work efficiency of senior doctors has increased by an average of 25%. In comparison, the patient flow of associate senior doctors has increased by an average of 50%. Conclusion In this paper, the method of outpatient capacity planning improves the work efficiency of senior doctors and provides outpatient services for more patients in need; At the same time, it indirectly reduces the waiting time of patients receiving outpatient services from senior doctors. And the patient flow of the associate senior doctors is improved, which helps to improve doctors’ technical level and solve the problem of shortage of medical resources.

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Section: Introductionmentioning

confidence: 99%

Research on outpatient capacity planning combining lean thinking and integer linear programming

Yang

et al. 2023

BMC Med Inform Decis Mak

View full text Add to dashboard Cite

show abstract

A Mathematical Formulation for Reducing Overcrowding in Hospitals' Waiting Rooms

Cited by 1 publication

References 8 publications

Research on outpatient capacity planning combining lean thinking and integer linear programming

Research on outpatient capacity planning combining lean thinking and integer linear programming

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