Literature DB >> 24889471

Hidden costs of poor image quality: a radiologist's perspective.

Bruce I Reiner1.   

Abstract

Although image quality is a well-recognized component in the successful delivery of medical imaging services, it has arguably declined over the past decade owing to several technical, economic, cultural, and geographic factors. To improve quality, the radiologist community must take a more proactive role in image quality analysis and optimization; these require analysis of not just the single step of image acquisition but the entire imaging chain. Radiologists can benefit through improved report accuracy, diagnostic confidence, and workflow efficiency. The derived data-driven analyses offer an objective means for provider performance analysis, which can help combat commoditization trends and self-referral by nonradiologist providers.
Copyright © 2014 American College of Radiology. Published by Elsevier Inc. All rights reserved.

Keywords:  Image quality; data mining; outcomes analysis; quality assurance

Mesh:

Year:  2014        PMID: 24889471     DOI: 10.1016/j.jacr.2014.04.008

Source DB:  PubMed          Journal:  J Am Coll Radiol        ISSN: 1546-1440            Impact factor:   5.532


  2 in total

1.  Quantitative assessment on coronary computed tomography angiography (CCTA) image quality: comparisons between genders and different tube voltage settings.

Authors:  Teo Chee Chian; Norziana Mat Nassir; Mohd Izuan Ibrahim; Ahmad Khairuddin Md Yusof; Akmal Sabarudin
Journal:  Quant Imaging Med Surg       Date:  2017-02

2.  The quality/safety medical index: a standardized method for concurrent optimization of radiation dose and image quality in medical imaging.

Authors:  Bruce I Reiner
Journal:  J Digit Imaging       Date:  2014-12       Impact factor: 4.056

  2 in total

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