Clinical decision support in physiological monitoring

Effective use of the information produced by current and future physiological sensors can be used to improve monitoring, diagnosis, and treatment of patients. The successful introduction of intelligent monitoring and automated control promises to harness this information to enhance safety, as it has in aviation. Intelligent data analysis requires a multifaceted approach. A range of techniques that include statistical characterisation, modelling, feature extraction, and prediction augmented with expert knowledge can be used to present the salient information and combine information from multiple sources. We present a collaborative effort to embrace intelligent monitoring and automated control for physiological monitoring.