title: Reproductive health services discrete-event simulation.
abstract: Low resource healthcare environments are often characteristic of patient flow patterns with varying patient risks, extensive patient waiting times, uneven workload distributions, and inefficient service delivery. Models from industrial and systems engineering allow for a greater examination of processes by applying discrete-event computer simulation techniques to evaluate and optimize hospital performance.
authors.affiliation: Georgia Institute of Technology, Atlanta, GA, USA.
authors.forename: Sungjoo
authors.initials: S
authors.lastname: Lee
authors.forename: Denise F
authors.initials: DF
authors.lastname: Giles
authors.forename: David
authors.initials: D
authors.lastname: Goldsman
authors.forename: Douglas A
authors.initials: DA
authors.lastname: Cook
authors.forename: Ninad
authors.initials: N
authors.lastname: Mishra
authors.forename: Brian
authors.initials: B
authors.lastname: McCarthy
mesh_terms: D003198:Computer Simulation; D019091:Critical Pathways; D006801:Humans; D017146:Models, Organizational; D034121:Reproductive Health Services / Q000458:organization & administration*; D012984:Software