Linked Life Data

12548275

Source:http://linkedlifedata.com/resource/pubmed/id/12548275

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
2
pubmed:dateCreated
2003-1-27
pubmed:abstractText
Success of prospective studies, particularly in the emergency department, often depends on immediate identification of eligible patients to ensure timely sample collection and initiation of study interventions. We report use of a real-time automated notification system to identify potential patients for a clinical trial at the time of ED registration on the basis of information routinely collected. We hypothesize that the automated notification system improves the rate of investigator notification.
pubmed:grant
pubmed:commentsCorrections
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
AIM
pubmed:status
MEDLINE
pubmed:month
Feb
pubmed:issn
0196-0644
pubmed:author
pubmed:issnType
Print
pubmed:volume
41
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
242-6
pubmed:dateRevised
2007-11-15
pubmed:meshHeading
pubmed:year
2003
pubmed:articleTitle
Computerized recruiting for clinical trials in real time.
pubmed:affiliation
Division of Emergency Medicine, the Children's Hospital Informatics Program, Children's Hospital Boston, Boston, MA, USA. weiner_d@tch.harvard.edu
pubmed:publicationType
Journal Article, Research Support, U.S. Gov't, P.H.S., Research Support, U.S. Gov't, Non-P.H.S.