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A cross-source, system-agnostic solution for clinical data review
- Source :
- Database: The Journal of Biological Databases and Curation
- Publication Year :
- 2019
- Publisher :
- Oxford University Press (OUP), 2019.
-
Abstract
- Assembly of complete and error-free clinical trial data sets for statistical analysis and regulatory submission requires extensive effort and communication among investigational sites, central laboratories, pharmaceutical sponsors, contract research organizations and other entities. Traditionally, this data is captured, cleaned and reconciled through multiple disjointed systems and processes, which is resource intensive and error prone. Here, we introduce a new system for clinical data review that helps data managers identify missing, erroneous and inconsistent data and manage queries in a unified, system-agnostic and efficient way. Our solution enables timely and integrated access to all study data regardless of source, facilitates the review of validation and discrepancy checks and the management of the resulting queries, tracks the status of page review, verification and locking activities, monitors subject data cleanliness and readiness for database lock and provides extensive configuration options to meet any study’s needs, automation for regular updates and fit-for-purpose user interfaces for global oversight and problem detection.
- Subjects :
- Clinical Trials as Topic
0303 health sciences
business.industry
Computer science
Source system
030302 biochemistry & molecular biology
Data science
Automation
Regulatory Submission
General Biochemistry, Genetics and Molecular Biology
03 medical and health sciences
Resource (project management)
Databases as Topic
Data Warehousing
Original Article
Statistical analysis
User interface
General Agricultural and Biological Sciences
business
030304 developmental biology
Information Systems
Subjects
Details
- ISSN :
- 17580463
- Volume :
- 2019
- Database :
- OpenAIRE
- Journal :
- Database
- Accession number :
- edsair.doi.dedup.....f0f19a81ec29289e9cc30dcabc4fecc7