889Assessment of an Automated Surveillance System for Detection of Ventilator Associated Events

Survey on Perception of People Regarding Utilization of Computer Science & Information Technology in Manipulation of Big Data, Disease Detection & Drug Discovery

this research explores the manipulation of biomedical big data and diseases detection using automated computing mechanisms. As efficient and cost effective way to discover disease and drug is important for a society so computer aided automated system is a must. This paper aims to understand the importance of computer aided automated system among the people. The analysis result from collected da...

Patient Surveillance in the Intensive Care Unit: Utilization of Clinical Decision Support Tools for the Management of Ventilated Patients Optimizing Patient Surveillance to Increase Protocol Adherence, Improve Ventilator Settings, and Prevent Acute Lung Injury

∙ Patient surveillance technology can improve adherence to and optimization of ventilator protocols, shorten the time on the ventilator, and reduce the likelihood of acute lung injury. ∙ Patient surveillance technology can aid clinicians in preventing or reducing the incidence of adverse ventilator associated events, including ventilator-associated pneumonia, and ultimately, help improve patien...

Fire detection using video sequences in urban out-door environment

Nowadays automated early warning systems are essential in human life. One of these systems is fire detection which plays an important role in surveillance and security systems because the fire can spread quickly and cause great damage to an area. Traditional fire detection methods usually are based on smoke and temperature detectors (sensors). These methods cannot work properly in large space a...

Real-Time Automated Surveillance for Ventilator Associated Events Using Streaming Electronic Health Data

Development of trigger-based semi-automated surveillance of ventilator-associated pneumonia and central line-associated bloodstream infections in a Dutch intensive care

BACKGROUND Availability of a patient data management system (PDMS) has created the opportunity to develop trigger-based electronic surveillance systems (ESSs). The aim was to evaluate a semi-automated trigger-based ESS for the detection of ventilator-associated pneumonia (VAP) and central line-associated blood stream infections (CLABSIs) in the intensive care. METHODS Prospective comparison o...