Coder+
Coding clinical terms shouldn’t be a manual bottleneck or a source of errors for your study.
Medidata Coder+ applies AI-driven medical coding within Rave EDC, using models trained on over 90 million historic coding decisions to generate high-confidence predictions that improve speed and consistency across studies.
Make Coding Faster without Sacrificing Accuracy
Coder+ reduces coding time from minutes to seconds per term while maintaining clear confidence thresholds for review.
As models incorporate new coding decisions, predictions become more precise, helping you reduce manual effort and downstream rework.
Apply AI Auto-coding Predictions with 96% Accuracy
Continuously Improve Coding Accuracy
Reduce Manual Coding and Automate Complex Tasks
Shorten Review and Rework Cycles
Redefining Medical Coding Performance
Confidence-based Automation
Code with Confidence
Coder+ uses a predictive coding algorithm trained on over 90 million historic coding decisions.
Each prediction includes a confidence level, so you can rely on automation where confidence is high and focus expert review only where it’s needed.
Featured Resource
Accelerate Precise Medical Coding in Clinical Trials
How do you validate AI in medical coding? Discover how the Coder+ algorithm was developed, trained, and performance-tested, including confidence thresholds and real-world accuracy results.
View White Paper
FAQ
How accurate are the automated coding predictions provided by Coder+?
Coder+ uses machine learning algorithms trained on over 90 million historical coding decisions to provide highly accurate predictions. When the system generates a prediction that reaches a high confidence threshold, the accuracy is expected to be between 93-96%, depending on the specific dictionary used.
How does Coder+ integrate with Rave EDC to streamline workflows?
The system is tightly integrated with Rave EDC, where verbatims for fields like medical history or adverse events are automatically flagged to Coder+. While manual browsing and searching can take minutes, Coder+ can automatically code these verbatims in seconds, and the coding decisions are automatically returned to Rave EDC to populate the coded response.
Can study configurations be updated mid-study without impacting the EDC build?
Yes. All coding-related study configurations are contained directly within Coder+, rather than the EDC system. This architecture enables faster initial configuration and allows for simpler, quicker mid-study changes without needing amendments to the Rave EDC study build.
What happens if the AI can't automatically code a specific verbatim term?
If the automatically generated predictions don't meet the required confidence match, the system streamlines the manual intervention process. Medical coders can utilize the platform's advanced browse and search capabilities to quickly find and apply their own dictionary matches.
Does Medidata offer training for its clients and partners?
Yes. Medidata offers a variety of training options for our clients and partners, including both self-paced and instructor-led courses. To learn more about available courses and to access our resources, please visit the Medidata Global Education and Training section.