Clinion EDC

Clinion EDC is a comprehensive and feature-rich electronic data capture software designed to streamline and accelerate clinical trials. Here is a summary of its key features: Study Setup and Configuration - Global Library: A centralized repository for study-specific data elements, forms, and entire study designs, enabling consistent data collection and harmonization across multiple trials and sites. - Drag-and-drop interface: A user-friendly interface that allows for easy creation and configuration of eCRFs (electronic Case Report Forms) and edit checks. - Versioning and Batch Edit Checks: Enables study configuration teams to make changes on their own, reducing dependencies and increasing agility. Data Capture and Management - Comprehensive data capture module: Includes color-coded CRF forms, validations, skip logic, role-based access, investigator verification, and more. - External Data Loader: Allows loading data from various external sources directly into the system and running batch edit checks. - Data integration: Seamless integration with ePRO, eSource, RTSM, and eConsent for efficient data integration. - CRF Versioning: Maintains multiple versions of CRFs during the study or in site-specific settings, managing access for old and new users. - Data Extraction: Extracts ready reports in various formats (CSV, XLS, PDF), all CDISC-compliant with simplified data transformation and standard processes. - AI Medical Coding: Uses deep learning NLP models to automate the coding of adverse events and concomitant medication. - Remote SDV (Source Data Verification): Enables remote verification of EDC data with source data, reducing the need for on-site visits. Reporting and Analytics - Ad-hoc reporting engine: Allows users to design their own reports and save and import them into multiple formats. - Interactive Dashboards and Custom Reports: Provides real-time insights and customizable reporting capabilities. With its comprehensive feature set, Clinion EDC aims to simplify and streamline the entire clinical data management process, from study setup to data capture, analysis, and reporting.