Modeling the transplant waiting list: A queueing model with reneging
Queueing Systems: Theory and Applications
Optimal Control of a Paired-Kidney Exchange Program
Management Science
WSC '04 Proceedings of the 36th conference on Winter simulation
A queuing model of time waiting based on kidney transplantation
CCDC'09 Proceedings of the 21st annual international conference on Chinese Control and Decision Conference
Dynamic Scheduling of Outpatient Appointments Under Patient No-Shows and Cancellations
Manufacturing & Service Operations Management
A Broader View of Designing the Liver Allocation System
Operations Research
Commentaries to “The Vital Role of Operations Analysis in Improving Healthcare Delivery”
Manufacturing & Service Operations Management
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The crux of the kidney allocation problem is the trade-off between clinical efficiency and equity. We consider a dynamic resource allocation problem with the tri-criteria objective of maximizing the quality-adjusted life expectancy of transplant candidates (clinical efficiency) and minimizing two measures of inequity: a linear function of the likelihood of transplantation of the various types of patients, and a quadratic function that quantifies the differences in mean waiting times across patient types. The dynamic status of patients is modeled by a set of linear differential equations, and an approximate analysis of the optimal control problem yields a dynamic index policy. We construct a large-scale simulation model using data from over 30,000 transplants, and the simulation results demonstrate that, relative to the organ allocation policy currently employed in the United States, the dynamic index policy increases the quality-adjusted life expectancy and reduces the mean waiting time until transplantation for all six demographic groups (two sexes, races, and age groups) under consideration.