Linked Life Data

10977138

Source:http://linkedlifedata.com/resource/pubmed/id/10977138

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
4
pubmed:dateCreated
2000-7-28
pubmed:abstractText
Risk management in medicine is often seen as lagging behind other safety-critical domains where there has been considerable research into incident causation models. In this article, incident analysis theory and methodology from fields other than medicine are applied to an incident reporting scheme in an Edinburgh Intensive Care Unit. The incident analysis model used emphasizes the importance of latent organizational factors and complex, multilayered incident causation. It also takes the role of cognitive performance-shaping factors into account. This provides an analytical framework that integrates the identification of distal causal factors and a mechanism for comparing alternative causal hypotheses.
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
H
pubmed:status
MEDLINE
pubmed:month
May
pubmed:issn
1065-0989
pubmed:author
pubmed:issnType
Print
pubmed:volume
20
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
1-11
pubmed:dateRevised
2006-11-15
pubmed:meshHeading
pubmed:year
2000
pubmed:articleTitle
Classification and analysis of incidents in complex medical environments.
pubmed:affiliation
Department of Computing Science, University of Glasgow, United Kingdom.
pubmed:publicationType
Journal Article, Research Support, Non-U.S. Gov't