Society has demanded reform in medical resident work scheduling; conse
quently, hospitals are implementing changes having organizational, cli
nical, financial, social, emotional, and educational consequences for
physician training and patient care. We report the use of simulation m
odeling as an approach to evaluate the outcomes of alternative designs
prior to implementation. Mobile resources such as physicians with com
plex job descriptions and patients with time-varying arrival processes
complicated the modeling task. A flexible, powerful simulation langua
ge helped to model resource decision rules and the frequent preemption
s of less urgent activities as more urgent requests arise. A distribut
ion fitting package enhanced the synthesis of data from diverse source
s into distributions that adequately modeled input processes. The resu
lting simulation model was used to examine alternatives in the design
of a new housestaff work schedule. We were able to predict accurately
the effects on the sleep and activity profile of interns when their sc
hedules were modified. Furthermore, this model has remained an asset f
or investigating consequences of many types of variation within the sy
stem, including changes in patient demand as well as numbers or job de
scriptions of the housestaff.