3d International ICST Conference on Pervasive Computing Technologies for Healthcare

Research Article

A modular Clinical Decision Support System Clinical prototype extensible into multiple clinical settings

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  • @INPROCEEDINGS{10.4108/ICST.PERVASIVEHEALTH2009.6078,
        author={Fran Wu and Mitch Williams and Peter Kazanzides and Ken Brady and Jim Fackler},
        title={A modular Clinical Decision Support System Clinical prototype extensible into multiple clinical settings},
        proceedings={3d International ICST Conference on Pervasive Computing Technologies for Healthcare},
        proceedings_a={PERVASIVEHEALTH},
        year={2009},
        month={8},
        keywords={Pervasive Healthcare Continuous Monitoring Realtime Monitoring Clinical Guidelines Visualization.},
        doi={10.4108/ICST.PERVASIVEHEALTH2009.6078}
    }
    
  • Fran Wu
    Mitch Williams
    Peter Kazanzides
    Ken Brady
    Jim Fackler
    Year: 2009
    A modular Clinical Decision Support System Clinical prototype extensible into multiple clinical settings
    PERVASIVEHEALTH
    ICST
    DOI: 10.4108/ICST.PERVASIVEHEALTH2009.6078
Fran Wu1,*, Mitch Williams1,*, Peter Kazanzides1,*, Ken Brady2,*, Jim Fackler2,*
  • 1: Department of Computer Science, Johns Hopkins University, Baltimore, MD USA
  • 2: Anesthesiology and Critical Care Medicine, Johns Hopkins University School of Medicine, Baltimore, MD USA
*Contact email: franwu@cs.jhu.edu, mitchw@cs.jhu.edu, pkaz@jhu.edu, kbrady5@jhmi.edu, jim@jhmi.edu

Abstract

Traditionally, Clinical Decision Support Systems (CDSS) collect patient data from physiological monitors and other sources, providing clinicians with derived instructions and information to aid treatment planning. With advancements in telecommunication networks, CDSS functionality can be extended over distances, and accessed remotely (e.g. by appropriate healthcare providers not available in the patient's immediate surroundings). This paper discusses a modular CDSS that features real-time continuous patient monitoring, high-fidelity analysis and incorporation of clinical guidelines for decision support. A modular CDSS prototype was designed, implemented and tested in a pediatric intensive care environment, by incorporating a guideline for pediatric traumatic brain injury (TBI). System outputs show successful aggregation and analysis of continuous and periodic data, and automation of guidelines by recognizing deviation of patient's condition from normal states. The modular design will allow extension into pre-hospital treatment environments by taking advantages of advances in pervasive monitoring.