Invention and validation of an automated camera system that uses optical character recognition to identify patient name mislabeled samples.
Identifieur interne : 000020 ( PubMed/Curation ); précédent : 000019; suivant : 000021Invention 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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Hawker</name><affiliation wicri:level="2"><nlm:affiliation>ARUP Laboratories, Salt Lake City, UT;</nlm:affiliation><country xml:lang="fr">États-Unis</country><placeName><region type="state">Utah</region></placeName><wicri:cityArea>ARUP Laboratories, Salt Lake City</wicri:cityArea></affiliation></author><author><name sortKey="Mccarthy, William" sort="Mccarthy, William" uniqKey="Mccarthy W" first="William" last="Mccarthy">William Mccarthy</name></author><author><name sortKey="Cleveland, David" sort="Cleveland, David" uniqKey="Cleveland D" first="David" last="Cleveland">David Cleveland</name></author><author><name sortKey="Messinger, Bonnie L" sort="Messinger, Bonnie L" uniqKey="Messinger B" first="Bonnie L" last="Messinger">Bonnie L. Messinger</name></author></titleStmt><publicationStmt><idno type="wicri:source">PubMed</idno><date when="2014">2014</date><idno type="doi">10.1373/clinchem.2013.215434</idno><idno type="RBID">pubmed:24366726</idno><idno type="pmid">24366726</idno><idno type="wicri:Area/PubMed/Corpus">000020</idno><idno type="wicri:Area/PubMed/Curation">000020</idno></publicationStmt><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><country xml:lang="fr">États-Unis</country><placeName><region type="state">Utah</region></placeName><wicri:cityArea>ARUP Laboratories, Salt Lake City</wicri:cityArea></affiliation></author><author><name sortKey="Mccarthy, William" sort="Mccarthy, William" uniqKey="Mccarthy W" first="William" last="Mccarthy">William Mccarthy</name></author><author><name sortKey="Cleveland, David" sort="Cleveland, David" uniqKey="Cleveland D" first="David" last="Cleveland">David Cleveland</name></author><author><name sortKey="Messinger, Bonnie L" sort="Messinger, Bonnie L" uniqKey="Messinger B" first="Bonnie L" last="Messinger">Bonnie L. Messinger</name></author></analytic><series><title level="j">Clinical chemistry</title><idno type="eISSN">1530-8561</idno><imprint><date when="2014" type="published">2014</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Clinical Laboratory Information Systems</term><term>Clinical Laboratory Techniques (instrumentation)</term><term>Humans</term><term>Optical Devices</term><term>Patient Identification Systems (methods)</term><term>Photography (instrumentation)</term><term>Robotics</term></keywords><keywords scheme="MESH" qualifier="instrumentation" xml:lang="en"><term>Clinical Laboratory Techniques</term><term>Photography</term></keywords><keywords scheme="MESH" qualifier="methods" xml:lang="en"><term>Patient Identification Systems</term></keywords><keywords scheme="MESH" xml:lang="en"><term>Clinical Laboratory Information Systems</term><term>Humans</term><term>Optical Devices</term><term>Robotics</term></keywords></textClass></profileDesc></teiHeader><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></front></TEI><pubmed><MedlineCitation Owner="NLM" Status="MEDLINE"><PMID Version="1">24366726</PMID><DateCreated><Year>2014</Year><Month>03</Month><Day>03</Day></DateCreated><DateCompleted><Year>2014</Year><Month>05</Month><Day>07</Day></DateCompleted><Article PubModel="Print-Electronic"><Journal><ISSN IssnType="Electronic">1530-8561</ISSN><JournalIssue CitedMedium="Internet"><Volume>60</Volume><Issue>3</Issue><PubDate><Year>2014</Year><Month>Mar</Month></PubDate></JournalIssue><Title>Clinical chemistry</Title><ISOAbbreviation>Clin. Chem.</ISOAbbreviation></Journal><ArticleTitle>Invention and validation of an automated camera system that uses optical character recognition to identify patient name mislabeled samples.</ArticleTitle><Pagination><MedlinePgn>463-70</MedlinePgn></Pagination><ELocationID EIdType="doi" ValidYN="Y">10.1373/clinchem.2013.215434</ELocationID><Abstract><AbstractText Label="BACKGROUND" NlmCategory="BACKGROUND">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.</AbstractText><AbstractText Label="METHODS" NlmCategory="METHODS">To reduce or eliminate our mislabeled samples, we invented an automated device using 4 cameras to photograph the outside of a sample tube. The system uses optical character recognition (OCR) to look for discrepancies between the patient name in our laboratory information system (LIS) vs the patient name on the customer label. All discrepancies detected by the system's software then require human inspection. The system was installed on our automated track and validated with production samples.</AbstractText><AbstractText Label="RESULTS" NlmCategory="RESULTS">We obtained 1 009 830 images during the validation period, and every image was reviewed. OCR passed approximately 75% of the samples, and no mislabeled samples were passed. The 25% failed by the system included 121 samples actually mislabeled by patient name and 148 samples with spelling discrepancies between the patient name on the customer label and the patient name in our LIS. Only 71 of the 121 mislabeled samples detected by OCR were found through our normal quality assurance process.</AbstractText><AbstractText Label="CONCLUSIONS" NlmCategory="CONCLUSIONS">We have invented an automated camera system that uses OCR technology to identify potential mislabeled samples. We have validated this system using samples transported on our automated track. Full implementation of this technology offers the possibility of zero mislabeled samples in the preanalytic stage.</AbstractText></Abstract><AuthorList CompleteYN="Y"><Author ValidYN="Y"><LastName>Hawker</LastName><ForeName>Charles D</ForeName><Initials>CD</Initials><AffiliationInfo><Affiliation>ARUP Laboratories, Salt Lake City, UT;</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>McCarthy</LastName><ForeName>William</ForeName><Initials>W</Initials></Author><Author ValidYN="Y"><LastName>Cleveland</LastName><ForeName>David</ForeName><Initials>D</Initials></Author><Author ValidYN="Y"><LastName>Messinger</LastName><ForeName>Bonnie L</ForeName><Initials>BL</Initials></Author></AuthorList><Language>eng</Language><PublicationTypeList><PublicationType UI="D016428">Journal Article</PublicationType><PublicationType UI="D023361">Validation Studies</PublicationType></PublicationTypeList><ArticleDate DateType="Electronic"><Year>2013</Year><Month>12</Month><Day>23</Day></ArticleDate></Article><MedlineJournalInfo><Country>United States</Country><MedlineTA>Clin Chem</MedlineTA><NlmUniqueID>9421549</NlmUniqueID><ISSNLinking>0009-9147</ISSNLinking></MedlineJournalInfo><CitationSubset>IM</CitationSubset><CommentsCorrectionsList><CommentsCorrections RefType="CommentIn"><RefSource>Clin Chem. 2014 Mar;60(3):433-4</RefSource><PMID Version="1">24407911</PMID></CommentsCorrections></CommentsCorrectionsList><MeshHeadingList><MeshHeading><DescriptorName MajorTopicYN="N" UI="D002984">Clinical Laboratory Information Systems</DescriptorName></MeshHeading><MeshHeading><DescriptorName MajorTopicYN="N" UI="D019411">Clinical Laboratory Techniques</DescriptorName><QualifierName MajorTopicYN="N" UI="Q000295">instrumentation</QualifierName></MeshHeading><MeshHeading><DescriptorName MajorTopicYN="N" UI="D006801">Humans</DescriptorName></MeshHeading><MeshHeading><DescriptorName MajorTopicYN="Y" UI="D055096">Optical Devices</DescriptorName></MeshHeading><MeshHeading><DescriptorName MajorTopicYN="N" UI="D010355">Patient Identification Systems</DescriptorName><QualifierName MajorTopicYN="Y" UI="Q000379">methods</QualifierName></MeshHeading><MeshHeading><DescriptorName MajorTopicYN="N" UI="D010781">Photography</DescriptorName><QualifierName MajorTopicYN="N" UI="Q000295">instrumentation</QualifierName></MeshHeading><MeshHeading><DescriptorName MajorTopicYN="N" UI="D012371">Robotics</DescriptorName></MeshHeading></MeshHeadingList></MedlineCitation><PubmedData><History><PubMedPubDate PubStatus="aheadofprint"><Year>2013</Year><Month>12</Month><Day>23</Day></PubMedPubDate><PubMedPubDate PubStatus="aheadofprint"><Year>2014</Year><Month>1</Month><Day>24</Day></PubMedPubDate><PubMedPubDate PubStatus="entrez"><Year>2013</Year><Month>12</Month><Day>25</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate PubStatus="pubmed"><Year>2013</Year><Month>12</Month><Day>25</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate PubStatus="medline"><Year>2014</Year><Month>5</Month><Day>8</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate></History><PublicationStatus>ppublish</PublicationStatus><ArticleIdList><ArticleId IdType="pii">clinchem.2013.215434</ArticleId><ArticleId IdType="doi">10.1373/clinchem.2013.215434</ArticleId><ArticleId IdType="pubmed">24366726</ArticleId></ArticleIdList></PubmedData></pubmed></record>Pour manipuler ce document sous Unix (Dilib)
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