FRAMEWORK FOR BIOSIGNAL INTERPRETATION IN INTENSIVE-CARE AND ANESTHESIA

Improved monitoring improves outcomes of care. As critical care is ''c ritical'', everything that can be done to detect and prevent complicat ions as early as possible benefits the patients, In spite of major eff orts by the research community to develop and apply sophisticated bios ignal interpretation methods (BSI), the uptake of the results by indus try has been poor. Consequently, the BSI methods used in clinical rout ine are fairly simple. This paper postulates that the main reason for the poor uptake is the insufficient bridging between the actors (i.e., clinicians, industry and research). This makes it difficult for the B SI developers to understand what can be implemented into commercial sy stems and what will be accepted by clinicians as routine tools, A fram ework is suggested that enables improved interaction and cooperation b etween the actors, This framework is based on the emerging commercial patient monitoring and data management platforms which can be shared a nd utilized by all concerned, from research to development and finally to clinical evaluation.