Stochastic programming for outpatient scheduling with flexible inpatient exam accommodation.

This study is concerned with the determination of an optimal appointment schedule in an outpatient-inpatient hospital system where the inpatient exams can be cancelled based on certain rules while the outpatient exams cannot be cancelled. Stochastic programming models were formulated and solved to tackle the stochasticity in the procedure durations and patient arrival patterns. The first model, a two-stage stochastic programming model, is formulated to optimize the slot size.

Emergency Magnetic Resonance Imaging 3-Tiered Prioritization.

Background/purpose: Traditional methods for prioritization are limited and insufficient for today's magnetic resonance imaging (MRI) demands. In particular, the discrepancy in urgency of the heterogeneous emergency department (ED) patient population necessitates risk stratification to meet different degrees of urgency. The purpose of this study is to more effectively prioritize the MRI imaging needs of ED patients commensurate with the severity of their presenting illness.