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Evidence Base for Quality Control Activities in Cardiovascular Imaging
Author(s) -
Mehdi Eskandari,
Christopher M. Kramer,
Harvey S. Hecht,
Wael A. Jaber,
Thomas H. Marwick
Publication year - 2016
Publication title -
jacc. cardiovascular imaging
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 5.79
H-Index - 120
eISSN - 1936-878X
pISSN - 1876-7591
DOI - 10.1016/j.jcmg.2015.11.012
Subject(s) - psychological intervention , accreditation , quality (philosophy) , control (management) , variety (cybernetics) , medicine , knowledge base , quality management , image quality , risk analysis (engineering) , computer science , artificial intelligence , operations management , medical education , image (mathematics) , engineering , nursing , management system , philosophy , epistemology
Quality control is pervasive in most modern business, but, surprisingly, is in its infancy in medicine in general-and cardiovascular imaging in particular. The increasing awareness of the cost of cardiovascular imaging, matched by a desire to show benefits from imaging to patient outcome, suggests that this deficiency should be reassessed. Demonstration of improved quality has been proposed to require a focus on several domains: laboratory organization, patient selection, image acquisition, image interpretation, and results communication. Improvement in these steps will require adoption of a variety of interventions, including laboratory accreditation, appropriate use criteria, and continuous quality control and enhancements in reporting, but the evidence base for the benefit of interventions on these steps has been sparse. The purpose of this review is to evaluate the current status and future goals of developing the evidence base for these processes in cardiovascular imaging.

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