18787442

Source:http://linkedlifedata.com/resource/pubmed/id/18787442

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Predicate	Object
rdf:type	pubmed:Citation
lifeskim:mentions	umls-concept:C0033325, umls-concept:C0220885, umls-concept:C0392747, umls-concept:C1274040, umls-concept:C1511726, umls-concept:C1547647
pubmed:issue	5
pubmed:dateCreated	2008-9-12
pubmed:abstractText	Intensive care medicine consumes a high share of healthcare costs, and there is growing pressure to use the scarce resources efficiently. Accordingly, organizational issues and quality management have become an important focus of interest in recent years. Here, we will review current concepts of how outcome data can be used to identify areas requiring action.
pubmed:language	eng
pubmed:journal	http://linkedlifedata.com/resource/pubmed/journal/9504454
pubmed:citationSubset	IM
pubmed:status	MEDLINE
pubmed:month	Oct
pubmed:issn	1531-7072
pubmed:author	pubmed-author:RothenHans UlrichHU, pubmed-author:TakalaJukkaJ
pubmed:issnType	Electronic
pubmed:volume	14
pubmed:owner	NLM
pubmed:authorsComplete	Y
pubmed:pagination	513-9
pubmed:meshHeading	pubmed-meshheading:18787442-Benchmarking, pubmed-meshheading:18787442-Critical Care, pubmed-meshheading:18787442-Efficiency, Organizational, pubmed-meshheading:18787442-Humans, pubmed-meshheading:18787442-Outcome Assessment (Health Care), pubmed-meshheading:18787442-Quality Assurance, Health Care, pubmed-meshheading:18787442-Severity of Illness Index
pubmed:year	2008
pubmed:articleTitle	Can outcome prediction data change patient outcomes and organizational outcomes?
pubmed:affiliation	Department of Intensive Care Medicine, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland. hrothen@insel.ch
pubmed:publicationType	Journal Article, Review