Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
4231652 | Journal of the American College of Radiology | 2009 | 7 Pages |
Abstract
The practice of medical imaging is fraught with inconsistency as it relates to quality assurance, which is due in part to the lack of standardization and objective quality-centric data. By applying the scientific methods of Shewhart and Deming to medical imaging quality assessment, one can devise an objective, data-driven quality model, encompassing the various steps and processes that take place within the medical imaging chain. Through automated recording, tracking, and analysis of these quality data elements, a quantitative scorecard can be derived that provides an objective measure of quality performance, relating to each individual process, participating stakeholder, and technology being used. Through meta-analysis of these quality-centric data, best practice guidelines can be created, which in turn promote quality as the major differentiating feature of service providers.
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Authors
Bruce I. MD,