Literature DB >> 19643383

Quantifying radiation safety and quality in medical imaging, part 1: creating the infrastructure.

Bruce I Reiner1.   

Abstract

An integral part of cost-benefit analysis within medicine is the comparative assessment of the clinical gains introduced by a service or application compared with the patient costs, which can be measured in economic or clinical terms. When analyzing medical imaging, a number of factors must be included, the most important of which include issues pertaining to patient safety, image quality, and clinical outcomes. Although ionizing radiation has long been recognized as a potential carcinogen capable of introducing harm to patients, the long-term derived benefits have been accepted because of the diagnostic and therapeutic benefits derived from its use. With the increased utilization of high-dose ionizing radiation examinations (such as multidetector computed tomography), it is essential that the medical community create data-driven methodologies to quantify risk in objective terms, develop community-wide radiation standards and "best practice" guidelines (evidence-based medicine), develop new technologies and applications to proactively minimize radiation dose while maintaining quality, and create accountability measures for all pertinent stakeholders.

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Year:  2009        PMID: 19643383     DOI: 10.1016/j.jacr.2009.04.007

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


  6 in total

Review 1.  Nuclear medicine: what kind of quality would we want if we were the patient?

Authors:  Giovanni Lucignani; Angelo Del Sole
Journal:  Eur J Nucl Med Mol Imaging       Date:  2010-11       Impact factor: 9.236

2.  Creating accountability in image quality analysis. Part 4: quality analytics.

Authors:  Bruce I Reiner
Journal:  J Digit Imaging       Date:  2013-10       Impact factor: 4.056

Review 3.  Improving healthcare delivery through patient informatics and quality centric data.

Authors:  Bruce I Reiner
Journal:  J Digit Imaging       Date:  2011-04       Impact factor: 4.056

4.  Innovating through measurement.

Authors:  Bruce I Reiner
Journal:  J Digit Imaging       Date:  2013-02       Impact factor: 4.056

Review 5.  Transforming health care service delivery and provider selection.

Authors:  Bruce I Reiner
Journal:  J Digit Imaging       Date:  2011-06       Impact factor: 4.056

Review 6.  The challenges, opportunities, and imperative of structured reporting in medical imaging.

Authors:  Bruce I Reiner
Journal:  J Digit Imaging       Date:  2009-12       Impact factor: 4.056

  6 in total

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