Rave Data Management

Modernize Clinical Data Management

Keeping Pace and the Need to Modernize Clinical Data Management Today

The clinical data landscape is continually evolving. Your clinical data management practices must be flexible, scalable and intelligent to keep pace with the variety, volume and velocity of data captured. Data needs to be unified to deliver a complete patient view, intelligently analyzed to identify issues, and automatically transformed to accelerate database lock and kick-start trial data analysis.

The Future of Clinical Data Management

Is the Future of Clinical Data Management Finally Here? Indeed It Is.

Clinical Data Management (CDM) needs to change and needs to change fast. Traditional methods for data acquisition and management in clinical trials have been disrupted in ways never before seen. This disruption has forced both regulators and the industry to think progressively about how to enable and execute new methods for delivering care to patients.

Unifying Data For Study Conduct

Bringing It All Together: Unifying Data For Study Conduct Decision-Making

Protocol requirements often involve multiple data points from different data sources to determine screening criteria and calculate endpoint measurements. Multiple methods of data collection from sources like EDC, RTSM, eCOA, and Imaging increase data silos making it harder for site staff and study teams to access clean, reliable data and reducing the ability to make effective decisions This recorded presentation uses typical protocol requirements and illustrate the value of using the Medidata Clinical Cloud to collect and aggregate data to drive key study conduct decisions such as screening, open-label extensions, and cycle decisions.

Drive Speed to Market

Unification Drives Speed to Market

Real-time informed decision-making using a single source of data with the unification of Medidata eCOA, Rave EDC and Rave RTSM. With the same backend on ONE unified platform you have streamlined workflows with no double data entry.

Next-Generation Clinical Data Management

Infographic: 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.

Rave EDC (Electronic Data Capture)

Medidata’s Rave EDC (Electronic Data Capture) is the most advanced, robust, and secure EDC system for clinical trial site, patient, and lab data capture and management.

Rave EDC is the cornerstone of the Medidata Clinical Cloud™ – the unified clinical research platform that connects processes, eliminates data reconciliation, and delivers cross-functional and cross-study data insights.

Rave RTSM

Rave RTSM is the only fully pre-validated randomization and trial supply management solution that can be configured in minutes and enables mid-study changes with minimal downtime and no change orders.

RTSM is built on Rave EDC, so there is no double data entry and minimal reconciliation expediting study start-up and study-close out. Rave RTSM streamlines your operations and provides real-time visibility for your study teams.

Medidata eCOA

Accelerating Your Pathto Decentralized Clinical Trials

Medidata eCOA (Clinical Outcome Assessment) is revolutionizing the way sponsors, CROs, and sites collect electronic data from patients, physicians, and caregivers. Available as an iOS or Android app or web-based solution, Medidata eCOA provides a flexible, intuitive model for capturing patient data that is designed to make it easier for patients to engage in clinical trials.

Built as part of the unified Medidata Clinical Cloud platform, Medidata eCOA improves your study experience with flexible deployment options, a groundbreaking global instrument library, and dedicated services and support.

Sensor Cloud

Pioneering the next generation of connected health solutions

Medidata Sensor Cloud provides cutting-edge capabilities focused on transforming the clinical trial experience for patients, sponsors, and research sites. Designed as part of a unified data platform, Sensor Cloud takes a unique approach to managing a broad range of wearable sensor and digital health technology data for clinical trials. Our common data model and proprietary algorithms enable rapid ingestion and analysis of patient data resulting in better clinical decision making, faster timelines and a more flexible patient experience.

Rave Imaging | Clinical Trial Imaging

More than 50 percent of trials involve medical imaging. Manage these studies faster, cheaper, and with lower risk when you choose Rave Imaging. Rave Imaging provides cloud-based, secure management for all your medical imaging tasks in an innovative and intuitive system. Gain visibility and full control over your imaging data while simplifying processes for sites, sponsors, and core labs alike.

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.

Rave Safety Gateway

Patients live in the modern world and we think their safety data should too. Paper forms and unreliable faxes are slow, costly, and error-prone, putting patient safety at risk and wasting time.

Rave Safety Gateway automates the collection, transmission and tracking of Adverse Event (AE) and Serious Adverse Event (SAE) data from Rave EDC to your safety system, dramatically expediting the receipt of clean, timely data by your safety team.

Rave Site Cloud: End of Study

Transform End of Study Data Exchange

Site Cloud: End of Study (EOS) is the first end-to-end solution that seamlessly generates, distributes, and manages study files at the end of a study.

With EOS, sites’ study files are accessible and downloadable by a secure and trusted unified platform, eliminating the need to create and distribute physical media and deal with manual acknowledgment forms.