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Stroke is a major cause of mortality and long-term disability in the world. Predictive outcome models in stroke are valuable for personalized treatment, rehabilitation planning and in controlled clinical trials. We design a new multi-class classification model to predict outcome in the short-term, the putative therapeutic window for several treatments. Our model addresses the challenges of class imbalance,...
Simulation modeling has been around for many years and produced many papers. Arguably, there has been a lack of impact in the health arena, some may say due to modeling such a large, complex, diverse and often interconnected industry. Other observations suggests that academics get rewarded for publishing large complicated models with detailed analysis rather than focusing on the requirements of the...
Effective simulation models require robust development methodologies. Planning, design, data, and testing are integral to ensure valuable answers to the model's customers. This paper discusses how supporting static models provide guidelines and directional correctness to simulation models. Static models can also provide supplemental answers which allow the reduction in simulation model complexity.
The production process inside a hospital surgery department is made up of three distinct main sub-processes: waiting list management, operating theatre planning and scheduling, stay area sizing and organization. Overall department performance depends on how these sub-processes are managed as well as they are integrated. In the literature, they are mainly treated separately recurring to two approaches:...
Operating room (OR) sessions planning is often critical, due to potential clinical consequences of errors, while access to surgery often follows non transparent prioritization. In previous projects we designed the Surgical Waiting List InfoSystem (SWALIS) model to prioritize elective waiting lists. In the present study we present further modeling work, aiming at building instruments to plan OR session...
Simulation modeling has become a well-established tool to aid healthcare decision makers in evaluating alternative system design in order to improve hospital performances. A simulation model is developed in this study to evaluate an alternative planning strategy for an operating theatre of a medium-size university hospital in Belgium. Real data are used in this model to derive the simulation parameters...
Evaluating best strategies across the organization has been a major challenge for healthcare decision makers. The complex nature of patient flow and the unpredictability involved makes discrete event simulation an ideal tool for evaluating strategic decisions in hospital inpatient capacity planning. In this paper, simulation was used to evaluate scenarios pertaining to hospital inpatient capacities...
The work presented here registers in an approach of improving performance of sterilization services in hospitals. Using the results of a survey realized next to many health establishments in the Rhone-Alpes region, in France, we build a generic model for the quantitative comparison of performance indicators of various sterilization services. We show and comment some numerical results obtained with...
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