The Evolution of Automated Medical Coding Workflows for Rave EDC
Rave Coder+ provides medical coding for clinical trials in English and Chinese1 using WHODrug and MedDRA dictionaries2. Rave Coder+ is built on the Medidata Platform unified platform with a connected, automated medical coding workflow for coding verbatim terms entered in Rave EDC.
Rave Coder+ features ‘Code with Confidence’3 – a new, unique coding algorithm that uses Machine Learning models trained with over 60 million historic coding decisions to deliver coding predictions with associated confidence levels.
Rave Coder+ Features and Benefits
In Partnership with Users
Medidata developed Rave Coder+ in partnership with 38 of our customers and 200 users in a beta program of six releases, which enabled the rapid inclusion of customer feedback and rigorous testing of each new function.
Code with Confidence
We’ve developed a new predictive coding algorithm using Machine Learning models, that are trained and tested with over 60 million historic coding decisions.
Rave Coder+ automatically codes verbatims if a generated prediction reaches a confidence threshold. At a High threshold, predictions are expected to be between 93-96% accurate, depending on the dictionary used. While browsing/searching to code a verbatim takes an average of 5 minutes, Rave Coder+ automatically codes in seconds.
Fast Configuration and Mid-Study Changes
All coding-related study configuration is contained within Rave Coder+, enabling faster study configuration and simpler and quicker mid-study changes without needing amendments to the EDC study build.
Streamlined Coding Workflow
Verbatims entered in Rave EDC for medical history, concomitant medications, adverse events, and any other field containing a symptom, drug, or procedure are automatically flagged to Rave Coder+ for coding. If the automatically generated predictions are not a good match, then using Rave Coder+’s advanced browse and search capabilities, medical coders can quickly find their own dictionary matches. Coding decisions are automatically returned to Rave EDC to supplement the verbatim with the coded response.
Rave Data Management
Rave Coder+ is part of Medidata’s unified solution for Clinical Data Management on the Medidata Platform, enabling aggregation and reconciliation of data from multiple sources – Rave EDC, Medidata eConsent, Medidata eCOA, MyMedidata, Rave RTSM, Rave Imaging, and Sensor Cloud; and intelligent data review and analysis with Rave TSDV and Medidata Detect.
Rave EDC is the most advanced, robust, and secure system for clinical trial site, patient, and lab data capture and management.
Rave Safety Gateway – Safety Data Transmission
Rave Safety Gateway delivers precise, accurate, and efficient transmission of AEs and SAEs in Rave EDC to your safety system. Eliminate duplicate data entry, accelerate the transmission of safety case data and reduce data reconciliation between clinical and safety teams.
Modernizing Clinical Data Management to Be Scalable, Flexible, and Intelligent
This white paper provides a summary of why Clinical Data Management (CDM) must quickly adapt to the mounting data pressures in modern clinical trials and discusses the three pillars that form the foundation of a modern intelligent CDM platform that is needed to succeed in an increasingly complex clinical trial world.
Next-Generation Clinical Data Management
Clinical data capture and management processes and technologies need to evolve to keep pace with the acceleration in the adoption of decentralized clinical trials and the continuing increase of protocol complexity. Learn about Medidata’s approach to next-generation clinical data management.
Clinical Data Management and Capture Explorer
What are your biggest challenges and priorities for clinical data capture and management in your studies? Walk through our interactive tool to discover how Medidata’s solutions can help you address issues specific to your role, and receive a personalized action plan.
2.Japanese versions, the J-Drug dictionary, and other languages to be supported in later releases.
3.For English only in the first release. Chinese, Japanese and other languages to be supported in later releases.