Electronic Data Capture, Powered by ClinSpark®
Built for Speed, Quality, and Confidence
The ClinSpark® database is the single source of truth for analysis and reporting, allowing teams to access high‑quality data as it is captured. This can accelerate reporting timelines, reduce manual intervention, and support confident, data driven decision -making across early-phase studies.
ClinSpark® is implemented across all four Fortrea Clinical Research Units, creating consistency in execution and data delivery. Electronic Data Capture (EDC) system in clinical trials is used to capture data accurately, securely, and efficiently at the point of care.
Purpose‑built for early‑phase clinical studies
Fully integrated bedside data capture
Supports quality, speed, and regulatory readiness
ClinSpark® is a registered trademark of IQVIA, Inc.
Unified Electronic Data Capture (EDC) Platform for Efficient Clinical Trial Delivery
Direct bedside entry and system‑driven workflows reduce errors associated with paper and manual transcription. This reduces hand‑offs, shortens wait times between activities, and removes unnecessary quality control steps. The result is a more efficient, connected workflow that supports faster insight generation while maintaining regulatory readiness and data integrity.
Why is real-time data important in early phase trials?
By combining eSource and EDC within a single platform, ClinSpark® system enables CPS teams and sponsors to work from one consistent, high‑quality dataset in near real time. This integrated approach supports faster, better‑informed decisions while maintaining the standards required for regulatory submission and inspection readiness.
One Platform. Real-Time Data. Better Study Quality
ClinSpark® combines eSource and EDC in a single platform—providing study teams with real‑time access to critical data across the trial lifecycle.
Improved Data Quality and Integrity
Targeted SDR and hybrid monitoring can reduce CRA queries by up to 60% and travel costs by up to 40%, enabling faster, more efficient monitoring.
Enabling Faster Decisions Through Data Sciences
Earlier SDTM readiness and integrated data visualizations can enable faster decisions in trial data.
Driving Operational Efficiency and Quality
Reduced manual effort and faster database cleaning can improve efficiency and quality across study teams.