Hospital Patient Wait Times : One of the most unpredictable environments in the Healthcare Industry is the Emergency Department, ED. We have all been there, spending countless hours in a waiting room only to finally receive medical attention in a hallway, or if you were lucky enough to make it to an examination room, you sat hopeless, wondering if a doctor even knew that you existed. Excessive patient wait times can be tolling on the patient both physically and emotionally; affecting the morale of the patient, doctors, nurses and medical staff. Let's take a look at some of the most common contributing factors (and their implications) which lead to one of America's biggest challenges in the healthcare community today; optimizing the ED to reduce patient wait times and increase overall efficiency.

Next generation dynamic simulator operates under an entirely different paradigm than traditional static tools. The graphical interface used to build models does not generate or compile code since it interfaces directly with the multi-core simulation engine. When the simulation starts, the animation instantly displays, both in 2D and 3D , the current state of the engine. As inefficiencies develop, real time modifications can be made to model properties and constraints. These “on-the-fly” changes allow users to instantly realize potential gains and perform dynamic optimization.

What is Simulation? - Simulation Explained

Simulation software and methodology have been successfully used in supply chain, logistics, and manufacturing for many years and will continue to play a major role in these industries. The drive for more efficient operations, producing more with less, and constantly increasing and refining quality has been the driving force in adopting simulation software. Moreover, the heavy shift toward lean thinking and six sigma methods coupled with increasing operational variability have forced many companies to introduce dynamic predictive technologies to be an integral part of their daily operation procedures.

Monte Carlo simulations can be used to study the variability of the model and determine the model behavior boundaries along with the expected performance. In simulation models that contain variable failure rates, variable processing rates at each stations, and variable inputs, Monte Carlo simulation runs can be a tremendous asset to any organization in order to understand the intricate behavior of the model environment. Simcad Pro created models benefit from the fact that Simcad Pro integrates all the tools required to run and analyze Monte Carlo simulations quickly and effectively. Coupled with the patented On-the-fly dynamic model updates, Simcad Pro provides an unprecedented simulation environment unmatched in the industry.