6th International Conference on Pervasive Computing Technologies for Healthcare

Research Article

Advanced Pervasive Clinical Decision Support for the Intensive Care Unit

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  • @INPROCEEDINGS{10.4108/icst.pervasivehealth.2012.248675,
        author={Femke De Backere and Filip De Turck and Kirsten Colpaert and Johan Decruyenaere},
        title={Advanced Pervasive Clinical Decision Support for the Intensive Care Unit},
        proceedings={6th International Conference on Pervasive Computing Technologies for Healthcare},
        publisher={IEEE},
        proceedings_a={PERVASIVEHEALTH},
        year={2012},
        month={7},
        keywords={clinical decision support systems context-aware pervasive devices algorithms workflow integration},
        doi={10.4108/icst.pervasivehealth.2012.248675}
    }
    
  • Femke De Backere
    Filip De Turck
    Kirsten Colpaert
    Johan Decruyenaere
    Year: 2012
    Advanced Pervasive Clinical Decision Support for the Intensive Care Unit
    PERVASIVEHEALTH
    ICST
    DOI: 10.4108/icst.pervasivehealth.2012.248675
Femke De Backere1,*, Filip De Turck1, Kirsten Colpaert2, Johan Decruyenaere2
  • 1: Ghent University - IBBT, Department of Information Technology (INTEC)
  • 2: Ghent University Hospital, Department of Intensive Care
*Contact email: femke.debackere@intec.ugent.be

Abstract

Clinical decision support systems (CDSS) already have proven their use in supporting physicians and nurses in their daily responsibilities. However the uptake of these systems remains low. This is due to a number of reasons, such as little to no integration within the workflow of the medical staff, a multitude of available devices and a large amount of medical data that has to be processed. This research focusses on closing the communication gap between software engineers and domain experts and on integrating CDSS into the workflow of the medical staff by providing support at the right time, at the right place on the most suitable device, based on the current context. This way the variation in care can be reduced and costs are minimized.