Applying Data Warehousing to a Phase III Clinical Trial From the Fondazione Italiana Linfomi Ensures Superior Data Quality and Improved Assessment of Clinical Outcomes

Clicks: 442
ID: 118685
2019
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Article Quality & Performance Metrics
Overall Quality Improving Quality
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Combines engagement data with AI-assessed academic quality
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Abstract
The DW is a powerful tool to organize results from large phase III clinical trials and to effectively improve DQ through the application of effective engineered tools.
Reference Key
gm2019jcoapplying Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Zaccaria GM;Ferrero S;Rosati S;Ghislieri M;Genuardi E;Evangelista A;Sandrone R;Castagneri C;Barbero D;Lo Schirico M;Arcaini L;Molinari AL;Ballerini F;Ferreri A;Omedè P;Zamò A;Balestra G;Boccadoro M;Cortelazzo S;Ladetto M;;
Journal jco clinical cancer informatics
Year 2019
DOI
DOI not found
URL
https://www.pubmed.gov/31633999/
Keywords
QUALITY ASSURANCE National Center for Biotechnology Information NCBI NLM MEDLINE humans pubmed abstract nih national institutes of health national library of medicine treatment outcome research support non-u.s. gov't female male aged randomized controlled trials as topic multicenter studies as topic survival rate disease progression neoplasm staging lymphoma health care / methods* clinical trials phase iii as topic pmid:31633999 pmc6873907 doi:10.1200/cci.19.00049 gian maria zaccaria simone ferrero marco ladetto data warehousing / methods* data warehousing / standards* mantle-cell / diagnosis mantle-cell / mortality* mantle-cell / therapy*

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