VizCom: a novel workflow model for ICU clinical decision support
作者： Anthony Faiola , Preethi Srinivas , Yamini Karanam , David Chartash , Bradley Doebbeling
关键词: Intensivist 、 Clinical decision support system 、 Patient safety 、 Medical emergency 、 Intensive care 、 Health information technology 、 Workflow 、 Health care 、 Workflow model 、 Intensive care unit 、 Computer science 、 Human error 、 Knowledge management
摘要: The Intensive Care Unit (ICU) has the highest annual mortality rate (4.4M) of any hospital unit or 25% all clinical admissions. Studies show a relationship between clinician cognitive load and workflow, their impact on patient safety subsequent occurrence medical mishaps due to diagnostic error - in spite advances health information technology, e.g., bedside decision support (CDS) systems. aim our research is to: 1) investigate root causes (underlying mechanisms) ICU related effects workflow: cognition, team communication/collaboration, use diagnostic/CDS systems 2) construct validate novel workflow model that supports improved with goals decrease adverse events, increase safety, reduce intensivist time, effort, resources. Lastly, long-term objective apply data from aims one two design next generation visualization-communication (VizCom) system improves intensive care communication, effectiveness healthcare.
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