Event reporting systems: MERS-TM, surveillance--seeing and using the data below the waterline.
Identifieur interne : 002321 ( PubMed/Corpus ); précédent : 002320; suivant : 002322Event reporting systems: MERS-TM, surveillance--seeing and using the data below the waterline.
Auteurs : H S KaplanSource :
- Developments in biologicals [ 1424-6074 ] ; 2005.
English descriptors
- KwdEn :
- MESH :
- organization & administration : Safety Management.
- standards : Blood Transfusion.
- Humans, Sentinel Surveillance, Transfusion Reaction.
Abstract
A significant variability in reporting rates, particularly of near-miss events, limits the quantitative reliability of event reporting. Organizations tend to disregard events such as near misses if they are "below the waterline", and outside their classification schemes. High reliability organizations, on the other hand, see near misses as valuable information regarding a system's weaknesses. Another value of near-miss reporting is the opportunity to study recovery factors in order to promote recovery once failure occurs. Since transfusion procedures are well-practised routines, they are often performed as automatic behaviours, vulnerable to interruption and unanticipated occurrences. Data fed back from near-miss events are a useful means of countering this, by maintaining an attitude of alertness in task performance.
PubMed: 16050171
Links to Exploration step
pubmed:16050171Le document en format XML
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Organizations tend to disregard events such as near misses if they are "below the waterline", and outside their classification schemes. High reliability organizations, on the other hand, see near misses as valuable information regarding a system's weaknesses. Another value of near-miss reporting is the opportunity to study recovery factors in order to promote recovery once failure occurs. Since transfusion procedures are well-practised routines, they are often performed as automatic behaviours, vulnerable to interruption and unanticipated occurrences. Data fed back from near-miss events are a useful means of countering this, by maintaining an attitude of alertness in task performance.</div></front></TEI><pubmed><MedlineCitation Status="MEDLINE" Owner="NLM"><PMID Version="1">16050171</PMID><DateCompleted><Year>2005</Year><Month>11</Month><Day>07</Day></DateCompleted><DateRevised><Year>2017</Year><Month>11</Month><Day>16</Day></DateRevised><Article PubModel="Print"><Journal><ISSN IssnType="Print">1424-6074</ISSN><JournalIssue CitedMedium="Print"><Volume>120</Volume><PubDate><Year>2005</Year></PubDate></JournalIssue><Title>Developments in biologicals</Title><ISOAbbreviation>Dev Biol (Basel)</ISOAbbreviation></Journal><ArticleTitle>Event reporting systems: MERS-TM, surveillance--seeing and using the data below the waterline.</ArticleTitle><Pagination><MedlinePgn>173-7</MedlinePgn></Pagination><Abstract><AbstractText>A significant variability in reporting rates, particularly of near-miss events, limits the quantitative reliability of event reporting. Organizations tend to disregard events such as near misses if they are "below the waterline", and outside their classification schemes. High reliability organizations, on the other hand, see near misses as valuable information regarding a system's weaknesses. Another value of near-miss reporting is the opportunity to study recovery factors in order to promote recovery once failure occurs. Since transfusion procedures are well-practised routines, they are often performed as automatic behaviours, vulnerable to interruption and unanticipated occurrences. Data fed back from near-miss events are a useful means of countering this, by maintaining an attitude of alertness in task performance.</AbstractText></Abstract><AuthorList CompleteYN="Y"><Author ValidYN="Y"><LastName>Kaplan</LastName><ForeName>H S</ForeName><Initials>HS</Initials><AffiliationInfo><Affiliation>Department of Pathology, Columbia University, New York, NY 10032, USA. hsk18@columbia.edu</Affiliation></AffiliationInfo></Author></AuthorList><Language>eng</Language><PublicationTypeList><PublicationType UI="D016428">Journal Article</PublicationType></PublicationTypeList></Article><MedlineJournalInfo><Country>Switzerland</Country><MedlineTA>Dev Biol (Basel)</MedlineTA><NlmUniqueID>100940058</NlmUniqueID><ISSNLinking>1424-6074</ISSNLinking></MedlineJournalInfo><CitationSubset>IM</CitationSubset><MeshHeadingList><MeshHeading><DescriptorName UI="D001803" MajorTopicYN="N">Blood Transfusion</DescriptorName><QualifierName UI="Q000592" MajorTopicYN="Y">standards</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D006801" MajorTopicYN="N">Humans</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D017751" MajorTopicYN="N">Safety Management</DescriptorName><QualifierName UI="Q000458" MajorTopicYN="N">organization & administration</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D018571" MajorTopicYN="Y">Sentinel Surveillance</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D065227" MajorTopicYN="N">Transfusion Reaction</DescriptorName></MeshHeading></MeshHeadingList></MedlineCitation><PubmedData><History><PubMedPubDate PubStatus="pubmed"><Year>2005</Year><Month>7</Month><Day>30</Day><Hour>9</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate PubStatus="medline"><Year>2005</Year><Month>11</Month><Day>8</Day><Hour>9</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate PubStatus="entrez"><Year>2005</Year><Month>7</Month><Day>30</Day><Hour>9</Hour><Minute>0</Minute></PubMedPubDate></History><PublicationStatus>ppublish</PublicationStatus><ArticleIdList><ArticleId IdType="pubmed">16050171</ArticleId></ArticleIdList></PubmedData></pubmed></record>Pour manipuler ce document sous Unix (Dilib)
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