We describe a simulation optimization method to design PSA screening policies based on expected quality adjusted life years (QALYs).
Our method integrates a simulation model in a genetic algorithm which uses a probabilistic method for selection of the best policy. We present computational results about the efficiency of our algorithm. The best policy generated by our algorithm is compared to previously recommended screening policies. Using the policies determined by our model, we present evidence that patients should be screened more aggressively but for a shorter length of time than previously published guidelines recommend.
Written by:
Underwood DJ, Zhang J, Denton BT, Shah ND, Inman BA. Are you the author?
Edward P. Fitts Department of Industrial & Systems Engineering, North Carolina State University, Raleigh, NC, 27695, USA.
Reference: Health Care Manag Sci. 2012 Feb 3. Epub ahead of print.
doi: 10.1007/s10729-012-9195-x
PubMed Abstract
PMID: 22302420
