The allocation of surgeries to operating rooms (ORs) is a challenging combinatorial optimization
problem. There is also significant uncertainty in the duration of surgical procedures, …

Operating room (OR) scheduling is an important operational problem for most hospitals. In
this study, we present a novel two-stage stochastic mixed-integer programming model to …

Uncertainty in the duration of surgical procedures can cause long patient wait times, poor
utilization of resources, and high overtime costs. We compare several heuristics for scheduling …

In 2007, total health-care spending in the United States reached US $2. 3 trillion, and continues
to rise at the fastest rate in US history. The design and implementation of better planning …

Patient appointment booking, sequencing, and scheduling decisions are challenging for
outpatient procedure centers due to uncertainty in procedure times and patient attendance. We …

Objective. To measure the cost of nonattendance (“no-shows”) and benefit of overbooking
and interventions to reduce no-shows for an outpatient endoscopy suite. Methods. We used a …

Background . Clinicians often use validated risk models to guide treatment decisions for
cardiovascular risk reduction. The most common risk models for predicting cardiovascular risk …

The unprecedented availability of data now affords the opportunity to improve decision making
and inform the scientific discovery of best practices for healthcare delivery. This book will …

Prostate cancer is the most common solid tumor in American men and is screened for using
prostate-specific antigen (PSA) tests. We report on a nonstationary partially observable …

Outpatient surgery scheduling involves the coordination of several activities in an uncertain
environment. Due to the very customized nature of surgical procedures there is significant …