AI-Powered eCOA Localization and COA Migration: YPrime in Applied Clinical Trials

YPrime was featured in Applied Clinical Trials for its research on AI-powered eCOA localization and clinical outcome assessment (COA) migration. The feature highlights how artificial intelligence can reduce migration errors, accelerate clinical trial startup timelines, and expand global patient participation, without compromising regulatory or linguistic integrity.

In this Applied Clinical Trials feature, YPrime shares data from a multi-study analysis demonstrating how AI-enabled COA migration into eCOA platforms improves first-pass accuracy, shortens localization review cycles, and preserves linguistic and regulatory integrity across global trials. The findings reflect a growing industry focus on scalable eCOA localization, inspection-ready data workflows, and faster study activation without compromising quality.

This research was also presented at ISPOR, reinforcing YPrime’s leadership in applying AI responsibly to solve one of the most persistent bottlenecks in global eCOA delivery.

How AI Improves eCOA Localization and COA Migration Accuracy

As clinical trials expand into more regions and languages, eCOA localization and COA migration have become critical path activities for study startup and patient access. Manual, error-prone migration processes can delay first-patient-in, increase re-proofing cycles, and introduce unnecessary risk into regulatory submissions.

YPrime’s AI-supported approach to eCOA localization demonstrates how sponsors can reduce localization delays, maintain linguistic accuracy, and scale global trials with confidence—without removing the human oversight regulators expect. By automating the most technical aspects of COA migration and preserving expert linguistic review, YPrime helps sponsors move faster while protecting data integrity and patient experience.

To explore the full dataset and learn how YPrime applies AI to eCOA localization in production environments, view the ISPOR poster.

To learn more about YPrime eCOA, visit www.yprime.com/ecoa.

What is AI-powered eCOA localization?
AI-powered eCOA localization uses machine-assisted workflows to migrate and localize clinical outcome assessments into eCOA platforms more accurately and efficiently, while maintaining regulatory and linguistic oversight.

Why is COA migration a risk in global clinical trials?
Manual COA migration can introduce transcription errors, delays, and inconsistencies across languages, increasing the risk of startup delays and regulatory findings.

How does AI improve eCOA startup timelines?
By improving first-pass accuracy and reducing re-proofing cycles, AI-enabled COA migration shortens localization review timelines and helps studies reach first patient in faster.