Validate Data Before Submission
Validate completeness, business rules, and cross-system discrepancies to improve regulatory data quality and submission readiness
Overview
Quality & Readiness helps teams detect missing mandatory fields, inconsistent values, and data gaps across RIM, MDM, PMS, and reference datasets before enrichment or submission.
Business Rule Validation
Check mandatory, conditional, and format rules against IDMP requirements and authority expectations.
.svg){kind=icon}
Cross-System Comparison
Compare structured data with RIM, MDM, PMS, and reference datasets to identify mismatches and missing elements.
Submission Readiness
Assess whether datasets are complete, aligned, and ready for enrichment or downstream submission workflows
Example Code for
Quality & Readiness
See how Theranext turns complex regulatory data into structured, validated, and operational outputs through configurable workflows across extraction, integration, and readiness activities.
# Example readiness workflow
dataset = "structured regulatory dataset"
validate_rules = [
"mandatory fields",
"conditional rules",
"format checks",
"granularity checks"
]
compare_sources = [
"RIM",
"MDM",
"PMS"
]
output = [
"validation report",
"discrepancy log",
"readiness status"
]Move from complexity to execution
Theranext helps pharma teams structure data, deliver transformations, and operationalize AI across R&D processes.
