Invention and validation of an automated camera system that uses optical character recognition to identify patient name mislabeled samples.
Identifieur interne : 000097 ( Main/Curation ); précédent : 000096; suivant : 000098Invention and validation of an automated camera system that uses optical character recognition to identify patient name mislabeled samples.
Auteurs : Charles D. Hawker [États-Unis] ; William Mccarthy ; David Cleveland ; Bonnie L. MessingerSource :
- Clinical chemistry [ 1530-8561 ] ; 2014.
English descriptors
- KwdEn :
- MESH :
- instrumentation : Clinical Laboratory Techniques, Photography.
- methods : Patient Identification Systems.
- Clinical Laboratory Information Systems, Humans, Optical Devices, Robotics.
Abstract
Mislabeled samples are a serious problem in most clinical laboratories. Published error rates range from 0.39/1000 to as high as 1.12%. Standardization of bar codes and label formats has not yet achieved the needed improvement. The mislabel rate in our laboratory, although low compared with published rates, prompted us to seek a solution to achieve zero errors.
DOI: 10.1373/clinchem.2013.215434
PubMed: 24366726
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pubmed:24366726Le document en format XML
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<author><name sortKey="Hawker, Charles D" sort="Hawker, Charles D" uniqKey="Hawker C" first="Charles D" last="Hawker">Charles D. Hawker</name>
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<author><name sortKey="Cleveland, David" sort="Cleveland, David" uniqKey="Cleveland D" first="David" last="Cleveland">David Cleveland</name>
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<author><name sortKey="Messinger, Bonnie L" sort="Messinger, Bonnie L" uniqKey="Messinger B" first="Bonnie L" last="Messinger">Bonnie L. Messinger</name>
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<sourceDesc><biblStruct><analytic><title xml:lang="en">Invention and validation of an automated camera system that uses optical character recognition to identify patient name mislabeled samples.</title>
<author><name sortKey="Hawker, Charles D" sort="Hawker, Charles D" uniqKey="Hawker C" first="Charles D" last="Hawker">Charles D. Hawker</name>
<affiliation wicri:level="2"><nlm:affiliation>ARUP Laboratories, Salt Lake City, UT;</nlm:affiliation>
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<author><name sortKey="Cleveland, David" sort="Cleveland, David" uniqKey="Cleveland D" first="David" last="Cleveland">David Cleveland</name>
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<author><name sortKey="Messinger, Bonnie L" sort="Messinger, Bonnie L" uniqKey="Messinger B" first="Bonnie L" last="Messinger">Bonnie L. Messinger</name>
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<series><title level="j">Clinical chemistry</title>
<idno type="eISSN">1530-8561</idno>
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<term>Patient Identification Systems (methods)</term>
<term>Photography (instrumentation)</term>
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<front><div type="abstract" xml:lang="en">Mislabeled samples are a serious problem in most clinical laboratories. Published error rates range from 0.39/1000 to as high as 1.12%. Standardization of bar codes and label formats has not yet achieved the needed improvement. The mislabel rate in our laboratory, although low compared with published rates, prompted us to seek a solution to achieve zero errors.</div>
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