Linked Life Data

16525702

Source:http://linkedlifedata.com/resource/pubmed/id/16525702

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:dateCreated
2006-3-9
pubmed:abstractText
Current developments in medical information technologies provide the clinical researcher with overwhelming amounts of data that need to be retrieved, organized, analyzed, and shared using secure, efficient, and robust protocols. The development of a local research database can provide an infrastructure for improved data management and detailed data analysis. For example, a pediatric brain tumor database of magnetic resonance imaging data, including conventional MRI imaging, hemodynamic MRI, diffusion weighted MRI and MR spectroscopic imaging, combined with neuropathological and neurological evaluation data, will significantly enhance the assessment and treatment of pediatric brain tumor patients. Furthermore, a negotiation system by which different clinical research facilities can share and combine data will permit re-analyses and meta-analyses of large data arrays that are beyond the focus or time constraints of the original researchers. Such a system will greatly enhance the utility of different data sets to a wide array of scientists. At present, efforts to organize medical data locally and between different sites is limited by diversity, interoperability, security, and accountability difficulties.
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:status
MEDLINE
pubmed:issn
1021-335X
pubmed:author
pubmed:issnType
Print
pubmed:volume
15 Spec no.
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
1065-9
pubmed:meshHeading
pubmed:year
2006
pubmed:articleTitle
The clinical perspective of large scale projects: a case study of multiparametric MR imaging of pediatric brain tumors.
pubmed:affiliation
NMR Surgical Laboratory, Department of Surgery, Massachusetts General Hospital, Harvard Medical School, 51 Blossom Street, Boston, MA 02114, USA.
pubmed:publicationType
Journal Article