This smart anaesthesia monitoring system allows the physician to look into the near-future and make decisions that are more objective, timely, and accurate.

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Smart Anaesthesia Monitor Technology Summary:  WSU researchers have developed a technology to assist anaesthesiologists using real-time monitoring, outcome prediction and anaesthesia decision support in operating rooms. This smart anaesthesia monitoring system allows the physician to look into the near-future and make decisions that are more objective, timely, and accurate. The core of the technology is a novel information processing methodology that uses measured drug rates, physiological signals and real-time data analysis to establish and update individual patient models. Background:  General anaesthesia is an integral part of most surgical operations. Anaesthesia decisions are very challenging, in which anaesthetic requirements and agent dosages depend critically on patient medical conditions, surgical procedures, drug interactions, and coordinated levels of anaesthesia depth and physiological variables such as blood pressures and heart rates. As a result, drug impact is very difficult to predict subjectively and manually. Satisfactory anaesthesia decisions require extensive clinical experience and highly sharpened vigilance. Errors in anaesthesia decisions occur even with experienced personnel, and the resulting impact ranges from minor consequences to serious morbidity and mortality.   Advantages •  Drug impact predictions •  Optimal drug dosage  •  Real-time recommendations  •  Increased decision accuracy •  Reduced clinical workload  •  Critical condition warning Stage of Development — Pre-clinical Initial prototype developed and tested with commercial anaesthesia monitoring systems (i.e. Covidan Bispectral index (BIS), GE Entropy Monitoring). Clinical data collected from human patients to verify the utility of the system performance, response time, model accuracy. Fully automated drug control systems can possibly be integrated into future systems.  

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