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A statistical Markov chain approximation of transient hospital inpatient inventory
TLDR
Inventory levels are critical to the operations, management, and capacity decisions of inventory systems but can be difficult to model in heterogeneous, nonstationary throughput systems. Expand
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A Queuing-Base Statistical Approximation of Hospital Emergency Department Boarding
A hospital Emergency Department’s (ED’s) wait times can be driven by high occupancy in its downstream InPatient hospital (IP). ED patients not admitted to the IP due to high IP occupancy or transferExpand
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Resources and Capabilities of the Department of Veterans Affairs to Provide Timely and Accessible Care to Veterans.
The Veterans Access, Choice, and Accountability Act of 2014 addressed the need for access to timely, high-quality health care for veterans. Section 201 of the legislation called for an independentExpand
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Developing nonlinear queuing regressions to increase emergency department patient safety: Approximating reneging with balking
TLDR
We hypothesize that the LWOT reneging percentage is captured by the balking probability (p"K) relationship of an M/M/1/K queue. We derive a binomial response nonlinear weighted regression model that best fits p"K for predicting LWOT to long-term ED performance by means of Gauss-Newton linearization. Expand
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Introduction to time series analysis and forecasting : solutions manual to accompany
TLDR
Introduction to Time Series Analysis and Forecasting presents the time series analysis branch of applied statistics as the underlying methodology for developing practical forecasts, and it also bridges the gap between theory and practice. Expand
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Cataract Blindness and Simulation-Based Training for Cataract Surgeons: An Assessment of the HelpMeSee Approach.
Cataracts account for about half of all cases of blindness worldwide, with the vast majority in developing countries, where blindness and visual impairment can reduce life expectancy and economicExpand
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Modeling employer self-insurance decisions after the Affordable Care Act.
OBJECTIVE To present a microsimulation model that addresses the methodological challenge of estimating the firm decision to self-insure. METHODOLOGY The model considers the risk that the firm bearsExpand
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A Markov decision process to dynamically match hospital inpatient staffing to demand
TLDR
This paper presents a Markov decision process (MDP) for dynamic inpatient staffing. Expand
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