Simulating the allocation of organs for transplantation.
The demand for donated organs greatly exceeds supply and many candidates die awaiting transplantation. Policies for allocating deceased donor organs may address equity of access and medical efficacy, but typically must be implemented with incomplete information. Simulation-based analysis can inform the policy process by predicting the likely effects of alternative policies on a wide variety of outcomes of interest. This paper describes a family of simulations developed by the US Scientific Registry of Transplant Recipients and initial experience in the application of one member of this family, the Liver Simulated Allocation Model (LSAM).
Thompson
David
D
Altarum Institute, Ann Arbor, 3520 Green Court, MI 48105, USA. david.thompson@altarum.org
Waisanen
Larry
L
Wolfe
Robert
R
Merion
Robert M
RM
McCullough
Keith
K
Rodgers
Ann
A
D006801:Humans; D009010:Monte Carlo Method; D016377:Organ Transplantation; D009927:Tissue and Organ Procurement / Q000458:organization & administration*; D014481:United States
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