Learn More
Mainstream queueing models are frequently employed in modeling healthcare delivery in a number of settings, and further are used in making operational decisions for the same. The vast majority of these queueing models ignore the effects of delay experienced by a patient awaiting care. However, long delays may have adverse effects on patient outcomes and can(More)
This paper presents a general class of dynamic stochastic optimization problems we refer to as Stochastic Depletion Problems. A number of challenging dynamic optimization problems of practical interest are stochastic depletion problems. Optimal solutions for such problems are difficult to obtain, both from a pragmatic computational perspective as also from(More)
— We study scheduling of multimedia traffic on the downlink of a wireless communication system. We examine a scenario where multimedia packets are associated with strict deadlines and are equivalent to lost packets if they arrive after their associated deadlines. Lost packets result in degradation of playout quality at the receiver, which is quantified in(More)
— In this paper we study communication routes in wireless networks supported by link arrays/grids. We consider canonical models and address key optimization issues associated with transmission schedules, links densities, etc. that are pertinent to performance of such structure in terms of throughput and the power/delay tradeoff. We find that in several(More)
This work examines admission control of the hospital Intensive Care Unit (ICU) which provides care for the most critically ill patients. We focus on how congestion can impact ICU admission decisions and ultimately patient outcomes and hospital costs. We first develop a stylized model for ICU admission that captures key trade-offs in allocating beds to(More)
This work examines the impact of discharge decisions under uncertainty in a capacity-constrained high risk setting: the intensive care unit (ICU). New arrivals to an ICU are typically very high priority patients and, should the ICU be full upon their arrival, discharging a patient currently residing in the ICU may be required to accommodate a newly admitted(More)
In a number of service systems, there can be substantial latitude to vary service rates. However, while using speedup of service during periods of congestion may address the present congestion issue, it may exacerbate the problem by increasing the need for rework. The hospital Intensive Care Unit (ICU) is one such setting where this speedup and subsequent(More)
Patient demand for critical care often exceeds bed availability. In such cases, current Intensive Care Unit (ICU) patients may be discharged in order to accommodate new, more urgent patients. Such a discharge increases the likelihood of physiologic deterioration resulting in readmission to the ICU. We model such an ICU as a state-dependent queueing network(More)