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OBJECTIVE To present a decision support system for optimising mechanical ventilation in patients residing in the intensive care unit. METHODS Mathematical models of oxygen transport, carbon dioxide transport and lung mechanics are combined with penalty functions describing clinical preference toward the goals and side-effects of mechanical ventilation in(More)
A multicentre study in five postanaesthesia care units (PACUs) was performed to investigate patient and staff opinion of a specially designed music environment (DME), related to geographical location. Patients (325) and staff (91) described their opinion by means of a questionnaire-anonymously in the case of staff. Patients were not asked beforehand for(More)
OBJECTIVE To evaluate a model describing postoperative hypoxemia after cardiac surgery by using two variables, i.e., shunt and resistance to oxygen diffusion (Rdff). DESIGN Estimation of these two variables in normal subjects and postoperative cardiac patients. SETTING The pulmonary function laboratory for the normal subjects and the intensive care unit(More)
Selecting appropriate ventilator settings decreases the risk of ventilator-induced lung injury. A decision support system (DSS) has been developed based on physiological models, which can advise on setting of tidal volume (Vt), respiratory frequency (f) and fraction of inspired oxygen (FiO2). The aim of this study is to assess the feasibility of the DSS by(More)
The automatic lung parameter estimator (ALPE) method was developed in 2002 for bedside estimation of pulmonary gas exchange using step changes in inspired oxygen fraction (FIO₂). Since then a number of studies have been conducted indicating the potential for clinical application and necessitating systems evolution to match clinical application. This paper(More)
OBJECTIVE To investigate whether parameters describing pulmonary gas exchange (shunt and ventilation-perfusion mismatch) can be estimated consistently by the use of non-invasive data as input to a mathematical model of oxygen transport. DESIGN Prospective study. SETTING Investigations were carried out in the post-anaesthesia care unit, coronary care(More)
PURPOSE The aim of the study was to prospectively evaluate a decision support system for its ability to provide appropriate suggestions of inspired oxygen fraction in intensive care patients comparing with levels used by clinicians in attendance. MATERIALS AND METHODS Thirteen mechanically ventilated patients were studied in an intensive care unit where(More)
PURPOSE The purpose of this study was to evaluate Danish clinicians' opinions toward ventilator settings using standardized model-simulated patients. The models ensured that all clinicians received identical presentations of data and anticipated responses to changes in patient state, enabling opinions on the same patient cases to be obtained from different(More)
Management of mechanical ventilation in intensive care patients is complicated by conflicting clinical goals. Decision support systems (DSS) may support clinicians in finding the correct balance. The objective of this study was to evaluate a computerized model-based DSS for its advice on inspired oxygen fraction, tidal volume and respiratory frequency. The(More)