Overbooking for physical examination considering late cancellation and set-resource relationship

Abstract Background Late cancellations of physical examination has severe impact on the operations of a physical examination center since it is often too late to fill vacancy. A booking control policy that considers overbooking is then one natural solution. Unlike appointment scheduling problems for...

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Autores principales:	Te-Wei Ho, Ling-Chieh Kung, Hsin-Ya Huang, Jui-Fen Lai, Han-Mo Chiu
Formato:	article
Lenguaje:	EN
Publicado:	BMC 2021
Materias:	Healthcare management Physical examination Late cancellation Overbooking Set-resource relationship Stochastic mathematical programming Public aspects of medicine RA1-1270
Acceso en línea:	https://doaj.org/article/8c5e4b840291477aacec9134341c8b73
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spelling	oai:doaj.org-article:8c5e4b840291477aacec9134341c8b732021-11-21T12:06:10ZOverbooking for physical examination considering late cancellation and set-resource relationship10.1186/s12913-021-07148-y1472-6963https://doaj.org/article/8c5e4b840291477aacec9134341c8b732021-11-01T00:00:00Zhttps://doi.org/10.1186/s12913-021-07148-yhttps://doaj.org/toc/1472-6963Abstract Background Late cancellations of physical examination has severe impact on the operations of a physical examination center since it is often too late to fill vacancy. A booking control policy that considers overbooking is then one natural solution. Unlike appointment scheduling problems for clinics and hospitals, in which treating a patient mostly requires only one type of resource, a physical examination set typically requires multiple types of resources. Traditional methods that do not consider set-resource relationship thus may be inapplicable. Methods We formulate a stochastic mathematical programming model that maximizes the expected net reward, which is the examination revenue minus overage cost. A complete search algorithm and a greedy search algorithm are designed to search for optimal booking limits for all examination sets. To estimate the late cancellation probability for each individual consumer, we apply logistic regression to identify significant factors affecting the probability. After clustering is used to estimate individual probabilities, Monte Carlo simulation is conducted to generate probability distributions for the number of consumers without late cancellations. A discrete-event simulation is performance to evaluate the effectiveness of our proposed solution. Results We collaborate with a leading physical examination center to collect real data to evaluate our proposed overbooking policies. We show that the proposed overbooking policy may significantly increase the expected net reward. Our simulation results also help us understand the impact of overbooking on the expected number of customers and expected overage. A sensitivity analysis is conducted to demonstrate that the benefit of overbooking is insensitive to the accuracy of cost estimation. A Pareto efficiency analysis gives practitioners suggestions regarding policy determination considering multiple performance indications. Conclusions Our proposed overbooking policies may greatly enhance the overall performance of a physical examination center.Te-Wei HoLing-Chieh KungHsin-Ya HuangJui-Fen LaiHan-Mo ChiuBMCarticleHealthcare managementPhysical examinationLate cancellationOverbookingSet-resource relationshipStochastic mathematical programmingPublic aspects of medicineRA1-1270ENBMC Health Services Research, Vol 21, Iss 1, Pp 1-20 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Healthcare management Physical examination Late cancellation Overbooking Set-resource relationship Stochastic mathematical programming Public aspects of medicine RA1-1270
spellingShingle	Healthcare management Physical examination Late cancellation Overbooking Set-resource relationship Stochastic mathematical programming Public aspects of medicine RA1-1270 Te-Wei Ho Ling-Chieh Kung Hsin-Ya Huang Jui-Fen Lai Han-Mo Chiu Overbooking for physical examination considering late cancellation and set-resource relationship
description	Abstract Background Late cancellations of physical examination has severe impact on the operations of a physical examination center since it is often too late to fill vacancy. A booking control policy that considers overbooking is then one natural solution. Unlike appointment scheduling problems for clinics and hospitals, in which treating a patient mostly requires only one type of resource, a physical examination set typically requires multiple types of resources. Traditional methods that do not consider set-resource relationship thus may be inapplicable. Methods We formulate a stochastic mathematical programming model that maximizes the expected net reward, which is the examination revenue minus overage cost. A complete search algorithm and a greedy search algorithm are designed to search for optimal booking limits for all examination sets. To estimate the late cancellation probability for each individual consumer, we apply logistic regression to identify significant factors affecting the probability. After clustering is used to estimate individual probabilities, Monte Carlo simulation is conducted to generate probability distributions for the number of consumers without late cancellations. A discrete-event simulation is performance to evaluate the effectiveness of our proposed solution. Results We collaborate with a leading physical examination center to collect real data to evaluate our proposed overbooking policies. We show that the proposed overbooking policy may significantly increase the expected net reward. Our simulation results also help us understand the impact of overbooking on the expected number of customers and expected overage. A sensitivity analysis is conducted to demonstrate that the benefit of overbooking is insensitive to the accuracy of cost estimation. A Pareto efficiency analysis gives practitioners suggestions regarding policy determination considering multiple performance indications. Conclusions Our proposed overbooking policies may greatly enhance the overall performance of a physical examination center.
format	article
author	Te-Wei Ho Ling-Chieh Kung Hsin-Ya Huang Jui-Fen Lai Han-Mo Chiu
author_facet	Te-Wei Ho Ling-Chieh Kung Hsin-Ya Huang Jui-Fen Lai Han-Mo Chiu
author_sort	Te-Wei Ho
title	Overbooking for physical examination considering late cancellation and set-resource relationship
title_short	Overbooking for physical examination considering late cancellation and set-resource relationship
title_full	Overbooking for physical examination considering late cancellation and set-resource relationship
title_fullStr	Overbooking for physical examination considering late cancellation and set-resource relationship
title_full_unstemmed	Overbooking for physical examination considering late cancellation and set-resource relationship
title_sort	overbooking for physical examination considering late cancellation and set-resource relationship
publisher	BMC
publishDate	2021
url	https://doaj.org/article/8c5e4b840291477aacec9134341c8b73
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Overbooking for physical examination considering late cancellation and set-resource relationship

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