Smart Extraction
Pulls trial data from registries, websites, and PDFs using intelligent rules
How AI-Powered Data Curation Transformed Clinical Trial Operations
An AI-driven clinical trial data curation workflow that automates extraction, normalization, and QA while keeping every value traceable to its source.
Overview
Clinical trial data is scattered everywhere with registries, sponsor websites, PDFs, and internal systems. Teams were spending hours pulling information together, only to find conflicting values and no way to verify what was correct. InvoZone built a workflow that automatically collects, cleans, and organizes trial data from multiple sources while keeping every piece of information traceable back to where it came from. When sources disagree, the system flags the conflict and sends it to experts for review.
100%equired-field completeness
Fasterprovenance coverage
Automatedregression tests passed
The Challenge
A growing remote patient monitoring (RPM) platform was struggling with the same problem plaguing healthcare practices worldwide: too much manual work, too little automation. Clinical teams spent hours tracking patients, managing RPM enrollment, handling resupply requests, and chasing follow-ups.
How AI Makes This Smarter
The platform uses intelligent automation to handle what can be reliably processed, while keeping human judgment where it matters most:
- 1
Pattern recognition identifies trial fields across different source formats.
- 2
Intelligent normalization resolves formatting differences across sources.
- 3
Smart discrepancy detection flags conflicts between sources for review.
- 4
Priority routing ensures reviewers focus on the most critical cases first.
The Solution
InvoZone partnered with the platform to build a transparent, source-traceable data curation workflow that turns fragmented public trial information into structured, review-ready records.
Intelligent Normalization
Standardizes values while preserving original source data.
Trial Linking
Connects each source to the correct trial using NCT IDs or trial names.
Record Consolidation
Brings information from multiple sources into one master record.
AI-Assisted QA + Human Review
Flags discrepancies automatically; routes unclear cases to experts.
Structured Export
Generates CSV, JSON, and quality reports for downstream use.
Results & Impact
100% Required-Field Completeness
100% Provenance Coverage
4/4 Trial Linkages Confirmed
37 Field Observations Processed
23 Items Reviewed by Experts
76 Regression Tests Passed
The Outcome
InvoZone turned fragmented clinical trial data into structured, review-ready records with full traceability. Executed through a clear, auditable workflow, the solution orchestrates intelligent components across multiple data sources, connecting registries, sponsor websites, PDFs, and internal systems into one streamlined pipeline. The workflow automates each step, from source collection and data extraction to normalization, trial linking, QA, and structured export. As a result, InvoZone eliminated manual data curation efforts, reducing hours of manual work to a fully automated process while delivering 100% completeness, 100% traceability, and reliable, consistent output at scale. The result: faster trial timelines, reduced compliance risk, and data teams can actually trust.
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