A graphical user interface system allows rapid (average 2 minutes) and facile entry of complex coronary lesion morphology data during routine clinical care.
May facilitate routine lesion morphology capture in clinical workflows; leaves open its value for risk stratification and outcomes research.
An expert panel task force of the AHA/ACC reported that determination of lesion morphology was predictive of adverse events after diagnostic/interventional procedures. The authors have developed a coronary artery tree diagramming system that employs a graphical user interface to allow rapid and facile data entry by clinical personnel. In addition to the baseline anatomic descriptors of coronary artery anatomy, lesion morphology descriptors comprising each data element comprising the AHA/ACC class are easily entered. Average time for data entry per tree is 2 min. The system is used on a daily basis at Duke University Medical Center for recording the results of the 20-25 diagnostic and 10-15 interventional procedures. The recording of complex lesion morphology data can now be easily performed as part of routine clinical care in large clinical populations undergoing catheterization procedures.< <ETX xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">></ETX>
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Fortin et al. (2003) studied this question.
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