| New strategies for medical data mining, part 2: the customizable productivity pacer. | |
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MedLine Citation:
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PMID: 21211762 Owner: NLM Status: In-Process |
Abstract/OtherAbstract:
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With continuing efforts to reduce medical reimbursements, many radiology service providers have reacted by increasing productivity to maintain revenue. This continuing push to increase speed carries the risk for diminished quality in the form of diagnostic accuracy. Data mining offers the potential to synergistically improve both productivity and quality, through the combined analysis of examination complexity, interpretation accuracy, and interpretation times specific to each individual radiologist. The resulting technology can in turn be used to create external pacers, which can be customized to the individual needs and preferences of each radiologist. The derived data can also be used to identify best-practice patterns and end-user performance, which can in turn be used by radiologists for individualized education and training. |
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Authors:
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Bruce Reiner |
Publication Detail:
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Type: Journal Article |
Journal Detail:
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Title: Journal of the American College of Radiology : JACR Volume: 8 ISSN: 1558-349X ISO Abbreviation: J Am Coll Radiol Publication Date: 2011 Jan |
Date Detail:
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Created Date: 2011-01-07 Completed Date: - Revised Date: - |
Medline Journal Info:
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Nlm Unique ID: 101190326 Medline TA: J Am Coll Radiol Country: United States |
Other Details:
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Languages: eng Pagination: 33-8 Citation Subset: IM |
Copyright Information:
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Copyright © 2011. Published by Elsevier Inc. |
Affiliation:
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Department of Diagnostic Imaging, Baltimore VA Medical Center, Baltimore, Maryland 21201, USA. breiner1@comcast.net |
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From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
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