Source:http://linkedlifedata.com/resource/pubmed/id/17238745
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Predicate | Object |
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rdf:type | |
lifeskim:mentions | |
pubmed:dateCreated |
2007-1-22
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pubmed:abstractText |
A major challenge for large scale, multi-site research studies is the time-sensitive tracking of numerous subjects, samples and results through multiple encounters and processes, by many team members in several different locations. This may be compounded by collaborations with other studies to share samples, data collection and subjects. The Screening for Impaired Glucose Tolerance (SIGT) study has met this challenge by developing a secure, informatics system with web and client server interfaces.
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pubmed:language |
eng
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pubmed:journal | |
pubmed:citationSubset |
IM
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pubmed:status |
MEDLINE
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pubmed:issn |
1942-597X
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pubmed:author | |
pubmed:issnType |
Electronic
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pubmed:owner |
NLM
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pubmed:authorsComplete |
Y
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pubmed:pagination |
1126
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pubmed:dateRevised |
2009-3-9
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pubmed:meshHeading |
pubmed-meshheading:17238745-Biomedical Research,
pubmed-meshheading:17238745-Database Management Systems,
pubmed-meshheading:17238745-Glucose Metabolism Disorders,
pubmed-meshheading:17238745-Glucose Tolerance Test,
pubmed-meshheading:17238745-Humans,
pubmed-meshheading:17238745-Information Systems,
pubmed-meshheading:17238745-Internet,
pubmed-meshheading:17238745-Mass Screening
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pubmed:year |
2006
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pubmed:articleTitle |
An informatics model for clinical research--screening for impaired glucose tolerance study.
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pubmed:affiliation |
Emory University School of Medicine, USA.
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pubmed:publicationType |
Journal Article
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