Clinical Data That
Works For You
We don't just deliver lab and imaging results — we deliver structured, analysis-ready data bundles with an AI intelligence layer that monitors quality, detects safety signals, and accelerates your path from last patient last visit to regulatory submission.
More Than Data Delivery —
Active Intelligence
Every data bundle from KoHealthLabs includes an AI monitoring layer — analyzing patterns, automating QC, and surfacing insights that previously required weeks of manual review.
Real-Time Safety Monitoring
ML models trained on clinical trial populations continuously monitor incoming lab values — flagging out-of-range results, Grade 3/4 adverse events, and protocol-defined stopping rules before your safety team opens a CRF.
Data Quality Automation
Automated edit check logic identifies implausible values, missing data, and cross-form inconsistencies at ingestion — reducing query volume by up to 40% and shortening database lock timelines.
Biomarker Pattern Recognition
Deep learning models analyze multi-analyte signatures to surface patient sub-populations, predict responder phenotypes, and support adaptive trial design decisions in real time.
Integrated Multi-Modal Analysis
Combine lab biomarkers, imaging quantitative data, genomic markers, and clinical observations into unified patient-level profiles — enabling richer endpoint analysis.
Automated Narrative Generation
AI-drafted patient narratives and safety summaries for individual case safety reports (ICSRs), periodic safety update reports (PSURs), and DSUR/PBRER submissions.
Predictive Site Performance
Forecast enrollment velocity, screen failure rates, and data completeness per site — enabling proactive risk-based monitoring (RBM) before issues impact timelines.
Submission-Ready
From Day One
Our data engineering team ensures every output is mapped to the correct domain, validated against FDA technical conformance guidelines, and ready for your statistical analysis plan.
Proven Results
For Real Trials
Adaptive Trial Design Support
Real-time biomarker dashboards enabled a sponsor to make interim analysis decisions 6 weeks ahead of schedule — reducing total trial duration by 4 months.
Safety Signal Detection
AI anomaly detection flagged a cluster of hepatic enzyme elevations across 3 sites 11 days before the traditional SAE reporting pathway would have surfaced the signal.
Database Lock Acceleration
Automated data quality checks at ingestion reduced outstanding queries by 38% — cutting database lock from 14 weeks to 9 weeks post-last patient last visit.
See Your Data in Action
Request a live walkthrough of our data platform with sample outputs from a trial matching your therapeutic area.