Abstract:
:While uncertainty is ubiquitous in medical practice, minimal work to date has been performed to analyze the cause and effect relationship between uncertainty and patient outcomes. In medical imaging practice, uncertainty in the radiology report has been well documented to be a source of clinician dissatisfaction. Before one can effectively create intervention strategies aimed at reducing uncertainty, it must first be better understood through context- and user-specific analysis. One strategy for accomplishing this task is to characterize the source of uncertainty and create user-specific uncertainty profiles which take into account a number of provider-specific variables which may contribute to report uncertainty. The resulting data can in turn be used to create real-time report uncertainty metrics aimed at providing uncertainty analytics at the point of care, for the combined purposes of decision support, improved communication, and enhanced clinical/economic outcomes.
journal_name
J Digit Imagingjournal_title
Journal of digital imagingauthors
Reiner BIdoi
10.1007/s10278-018-0057-zsubject
Has Abstractpub_date
2018-08-01 00:00:00pages
379-382issue
4eissn
0897-1889issn
1618-727Xpii
10.1007/s10278-018-0057-zjournal_volume
31pub_type
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journal_title:Journal of digital imaging
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更新日期:2009-12-01 00:00:00
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journal_title:Journal of digital imaging
pub_type: 杂志文章
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更新日期:2020-02-01 00:00:00
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pub_type: 杂志文章
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更新日期:2015-12-01 00:00:00
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更新日期:2020-10-01 00:00:00
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journal_title:Journal of digital imaging
pub_type: 杂志文章
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更新日期:2020-02-01 00:00:00
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journal_title:Journal of digital imaging
pub_type: 杂志文章
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更新日期:2014-06-01 00:00:00
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pub_type: 杂志文章
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更新日期:2000-05-01 00:00:00
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doi:10.1007/s10278-002-0003-x
更新日期:2002-03-01 00:00:00
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journal_title:Journal of digital imaging
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