Robust Overbooking for No-Shows and Cancellations in Healthcare

Any country’s healthcare system is vital for its progress, quality of life, and long-term viability. During the pandemic, many developed countries encountered challenges of differing degrees in the administration of their healthcare systems. The overloading of healthcare services is common, leading to prolonged waiting times for medical services. Thus, the wastage of hospital resources must be taken seriously. In this paper, we examine the problem of no-shows and cancellations in outpatient clinics. By examining the literature and drawing from practical industry experience, we uncover the operational procedures of these clinics. We then suggest a robust optimization strategy for overbooking, incorporating both a conventional overbooking model and a resilient system approach. The proposed model seeks to address the substantial uncertainties in parameters encountered during the pandemic. Taking into account risk aversion, we develop an optimal overbooking policy that considers the associated costs. The primary contribution lies in introducing an alternative approach to manage the uncertainty of no-shows and cancellations through the utilization of an overbooking technique.

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Publication Details

Journal
Mathematics
Published
2024-08-19
DOI
https://doi.org/10.3390/math12162563
Citations
1
Primary Topic
Healthcare Operations and Scheduling Optimization
Type
article
Field-Weighted Citation Impact
0.74
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article

Robust Overbooking for No-Shows and Cancellations in Healthcare

Chun Kit Lau, Bhagwat Ram, Feng Xiao, Kin Keung Lai
1 citations
Mathematics
Healthcare Operations and Scheduling Optimization
0.74
article

Robust Overbooking for No-Shows and Cancellations in Healthcare

Chun Kit Lau, Bhagwat Ram, Feng Xiao, Kin Keung Lai
article en
1 citations

Abstract

Any country’s healthcare system is vital for its progress, quality of life, and long-term viability. During the pandemic, many developed countries encountered challenges of differing degrees in the administration of their healthcare systems. The overloading of healthcare services is common, leading to prolonged waiting times for medical services. Thus, the wastage of hospital resources must be taken seriously. In this paper, we examine the problem of no-shows and cancellations in outpatient clinics. By examining the literature and drawing from practical industry experience, we uncover the operational procedures of these clinics. We then suggest a robust optimization strategy for overbooking, incorporating both a conventional overbooking model and a resilient system approach. The proposed model seeks to address the substantial uncertainties in parameters encountered during the pandemic. Taking into account risk aversion, we develop an optimal overbooking policy that considers the associated costs. The primary contribution lies in introducing an alternative approach to manage the uncertainty of no-shows and cancellations through the utilization of an overbooking technique.

MathematicsVol. 12(16)
University of Delhi (IN), Beijing Normal-Hong Kong Baptist University (CN), Hong Kong Baptist University (HK), Beijing Normal University (CN), Shaanxi Normal University (CN)
Openalex Percentile: Top 28%
Healthcare Operations and Scheduling Optimization
0.74
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