InElectronic Data Capture (EDC)systems, edit checks are categorized based on when and how they are executed — typicallyimmediate (at data entry)orbatch (post-entry). Checks that require data frommultiple visits or formsare generallyinefficient to run at data entrybecause they depend on information that may not yet exist in the system.
According to theGood Clinical Data Management Practices (GCDMP, Chapter: Data Validation and Cleaning),cross-visit consistency checks— such as comparing baseline and follow-up blood pressure or verifying date order between screening and dosing — should be executed asbatch or scheduled validations, not at the point of data entry. Running these complex checks in real time can slow system performance, increase query load unnecessarily, and confuse site users if related data are not yet entered.
Conversely, edit checks against valid ranges, formats, or predefined value lists (options A, C, and D) are simple, local validations ideally performed immediately at data entry to prevent basic errors.
Therefore,cross-visit consistency checks(Option B) are best executed later, making theminefficient for real-time data entry validation.
Reference (CCDM-Verified Sources):
SCDM Good Clinical Data Management Practices (GCDMP), Chapter: Data Validation and Cleaning, Section 6.4 – Real-Time vs. Batch Edit Checks
FDA Guidance for Industry: Computerized Systems Used in Clinical Investigations – Section on Edit Checks and Data Validation Logic
CDISC SDTM Implementation Guide – Section on Temporal Data Consistency Validation
