Streamline Data Capture and Automate EHR-to-EDC Data Transfer

Why It Matters

Accelerating EHR‑to‑EDC transfer cuts trial timelines and audit expenses, giving sponsors faster access to high‑quality data while freeing sites to run more studies with existing staff.

Key Takeaways

• eSource Casebook auto‑populates eCRFs from structured and unstructured EHR data.
• AI tools reduce manual entry time, cutting average 8‑day lag.
• Single interface replaces site‑facing EDC, minimizing clicks and training.
• Direct FHIR integration enables real‑time, standards‑based data flow.
• Scalable architecture supports multiple trials and therapeutic areas.

Pulse Analysis

The clinical research landscape is confronting a data bottleneck as protocols become more intricate and site staff juggle increasing documentation demands. Manual transcription from electronic health records to trial databases not only inflates labor costs but also introduces latency—studies now often wait a week before data become available for analysis. Regulators and sponsors are pressing for real‑time insights, prompting a shift toward electronic source (eSource) strategies that can pull data directly from the point of care. However, fragmented systems and the need to reconcile structured fields with narrative notes have slowed adoption, leaving many trials reliant on error‑prone, time‑intensive entry processes.

Paradigm Health’s eSource Casebook addresses these pain points by embedding a FHIR‑based connector into the EHR workflow and employing large‑language‑model algorithms to parse unstructured clinical narratives. The platform automatically fills eCRFs, attaches source citations for verification, and pushes the completed forms into the sponsor’s electronic data capture (EDC) system, effectively replacing the traditional site‑facing EDC interface. This unified view reduces click‑fatigue, shortens training cycles, and leverages AI to flag inconsistencies before they become audit findings. By supporting both structured lab results and free‑text observations, the solution ensures comprehensive data capture without forcing sites to duplicate effort.

For sponsors, the immediate benefit is a faster, cleaner data pipeline that can accelerate interim analyses and decision‑making, potentially shortening development timelines and lowering overall trial costs. Sites gain the capacity to enroll more patients or studies without expanding staff, improving their competitiveness in a crowded market. As regulatory bodies increasingly endorse eSource and real‑world evidence, tools like eSource Casebook are poised to become standard infrastructure, driving a more efficient, data‑rich clinical trial ecosystem.