Characterizing Clinical Data Management Challenges and Their Impact

2020 Tufts CSDD - IBM Watson Health benchmarking study highlights need for new functionality from EDC solutions and providers The results of several studies published in Applied Clinical Trials and elsewhere have demonstrated the impact of growing clinical trial data volume and the increasing divers...

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Bibliographic Details
Published inApplied clinical trials Vol. 30; no. 1/2; pp. 14 - 16
Main Authors Harper, Beth, Smith, Zachary, Snowdon, Jane, DiCicco, Robert, Hekmat, Rezzan, Getz, Ken
Format Journal Article
LanguageEnglish
Published Monmouth Junction MultiMedia Healthcare Inc 01.01.2021
Subjects
Clinical trials
Collaboration
Medical coding
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Summary:2020 Tufts CSDD - IBM Watson Health benchmarking study highlights need for new functionality from EDC solutions and providers The results of several studies published in Applied Clinical Trials and elsewhere have demonstrated the impact of growing clinical trial data volume and the increasing diversity of clinical data sources on study timelines and inefficiencies.1- 2 New benchmarks show that the increase in data volume and diversity is accelerating. The ability of a solution to handle clinical trial scope and complexity was also noted as a top factor influencing selection decisions. Rising protocol design complexity is driving rapid growth in clinical trial data volume.
ISSN:1064-8542
2150-623X