Rave Coder: Medical Coding in Clinical Trials

Rave Coder equips your studies with fast, accurate medical coding for verbatim terms from Rave EDC and external sources. Using Machine Learning and Natural Language Processing, Rave Coder automatically suggests the best dictionary matches.

Integration with Rave EDC simplifies and accelerates your coding by automating the transfer of terms to be coded, directing queries to your medical coder and their answers to your sites, and delivering the final coding decision back to Rave EDC.

Why Choose Rave Coder?

Accurate Coding

Achieve accurate medical coding with Rave Coder. Automatically find the closest matching dictionary term with its Coding Suggestions algorithm that uses Natural Language Processing and Machine Learning. The algorithm learns ‘on the job’ to quantify the impact of the suggested matches and improve coding accuracy.

Efficient Coding

Efficiently code your EDC data with Rave Coder. Rave Coder is tightly connected with Rave EDC, delivering an automated medical coding workflow. Verbatim terms in Rave EDC are flagged as coding tasks in Coder. Queries raised in Coder are displayed against the relevant verbatim in Rave EDC, and answers are returned to Coder. Once a term is coded in Coder, the coding decision is passed back to Rave EDC.

Up-to-Date Dictionaries

Eliminate your dictionary maintenance tasks and ensure your studies always have access to the latest dictionaries.

With Rave Coder, dictionary maintenance is managed by Medidata, with updates made within ten business days of the release of new dictionary versions from MedDRA, WHODrug, and JDrug.

Key Features of Rave Coder

01 Coding Suggestions Algorithm
Coding Suggestions Algorithm

Coding Suggestions Algorithm

Reduce your coding time and effort and improve accuracy. Using Natural Language Processing and Machine Learning, Rave Coder displays suggestions for tasks awaiting coding. Your coding specialists can view the suggested coding decisions and elect to accept a suggestion, or use the dictionary browser and search capabilities to find alternatives.

02 Synonym List
Synonym List

Synonym List

Accelerate your coding of frequently used terms. The medical coder can ask for their coding decision to be recorded so that the next time the same verbatim is encountered it is automatically coded using the synonym list.

03 Dictionary Maintenance and Up-Versioning
Dictionary Maintenance and Up-Versioning

Dictionary Maintenance and Up-Versioning

Keep your dictionaries and studies up-to-date. Medidata takes care of uploads of new dictionary versions from MedDRA, WHODrug, and JDrug. Up-versioning of studies to the latest dictionary version is completed with a self-service module designed to be used by your coding specialists. No programming expertise is necessary to perform tasks such as synonym migration, impact analysis and study up-versioning.

04 Consolidated Query Management
Consolidated Query Management

Consolidated Query Management

Give your sites one place to see and answer data queries. Coding queries raised by your coding specialists in Rave Coder are available in Rave EDC to the site personnel. This provides immediate communication between your sites and coding specialists, compressing the time required to resolve any discrepancies.

05 External Verbatim Term Management
External Verbatim Term Management

External Verbatim Term Management

Make consistent coding decisions across all your studies and data sources. Terms outside of Rave EDC can be imported into, coded within, and extracted from Rave Coder so that your clinical programs have uniform coding decisions across all trials, including those managed outside of Rave EDC.

Related Solutions

Rave Data Management

Rave Data Management

Rave Coder is part of Medidata’s unified solution for Clinical Data Management on the Medidata Clinical Cloud™, 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

Rave EDC

Rave EDC is the most advanced, robust, and secure system for clinical trial site, patient, and lab data capture and management. 

We’ve supported over 26,000 clinical trials, capturing data from over 7 million patients.

Rave Safety Gateway - Safety Data Transmission

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.

Learn More

White Paper

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.

Case Study

Accelerating Southampton Clinical Trial Unit’s Digital Transformation and Supporting its COVID-19 Studies

Learn how Medidata helped Southampton Clinical Trials Unit accelerate Its digital transformation journey and provided support during the global health pandemic.

Infographic

Modernizing Clinical Data Capture and Management for Today’s and Tomorrow’s Trials

The clinical data landscape continues to evolve, but the way we manage that data has not kept pace with the growth in data sources, types, volume and velocity. This infographic explores the challenges and proposes a solution to modernize clinical data capture and management.

Personalized Assessment Tool

Medidata 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.

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