Tuyển tập các báo cáo nghiên cứu về y học được đăng trên tạp chí y học Critical Care giúp cho các bạn có thêm kiến thức về ngành y học đề tài: Between prediction, education, and quality control: simulation models in critical care. | Available online http content 11 4 146 Commentary Between prediction education and quality control simulation models in critical care Herwig Gerlach and Susanne Toussaint Department of Anaesthesia Intensive Care Medicine and Pain Management Vivantes - Klinikum Neukolln Rudower Strasse 48 D-12313 Berlin Germany Corresponding author Herwig Gerlach Published 6 July 2007 This article is online at http content 11 4 146 2007 BioMed Central Ltd Critical Care 2007 11 146 doi cc5950 See related research by Saka et al. http content 11 3 R65 Abstract Today computer-aided strategies in social sciences are an indispensable component of teaching programs. In recent years microsimulation modeling has gained attention in its ability to represent predicted physiological developments visually thus providing the user with a full understanding of the impacts of a proposed scheme. There are several microsimulation models in human medicine and they can be either dynamic or static. If the model is dynamic the course of variables changes over time in contrast in the static case time constancy is assumed. In critical care there have been several approaches to implement microsimulation models to predict outcome. This commentary describes current approaches for predicting disease progression by using dynamic microsimulation in pneumonia-related sepsis. In the previous issue of Critical Care Saka and colleagues describe one of the latest developments of complex microsimulation 1 . In social sciences in economy and in technical areas the technique of simulation is widely accepted as an important intervention that can prevent adverse events 2 . Simulation is the concept of building an environment or part of the environment resembling a real-life environment in appearance and behavior. Basically there are three main reasons for using simulation as a method for quality control as a teaching tool and for the prediction of time
