The Acceliant EDC system accelerates user adoption with a simplified user interface, unique color codes and icons for data capture and management. Users can add a trial participant or register an unscheduled visit / follow-up visit with one click. Intuitive functionalities ensure users require minimal training or onboarding to use the system.
Our EDC system has a robust query workflow to ensure accurate reconciliation of clinical trial data. Significantly, features such as global update, monitor, freeze, and lock help multiple users manage data seamlessly, while avoiding data duplication and redundancy.
The Acceliant EDC system offers output in several data formats, making it easy to make sense of clinical trial data. You can choose from SAS transport files, Microsoft Excel, Clinical Data Interchange Standards Consortium (CDISC), Comma Separated Values (CSV), and text file formats for presenting output. Reports can be delivered on a need basis as well as generated with a graphical context. All reports comply with US Food & Drug Administration’s 21 Code of Federal Regulations (CFR).
Acceliant Coding Engine (ACE)
Our coding engine provides automated dictionary coding of captured clinical data against Medical Dictionary for Regulatory Activities (MedDRA) and World Health Organization Drug Dictionary (WHODRUG), in real time. Certified by the Uppsala Monitoring Centre (UMC), ACE provides automated and manual coding of adverse events and concomitant medications in clinical trials. Significantly, our coding engine offers robust ‘search’ of clinical terminology across medical dictionaries.
The data query module helps a data manager validate data across sections. The spider extracts data from several streams, reconciles data in the database, and provides users with a consolidated snapshot of data.
The Acceliant EDC system facilitates electronic data capture cum paper trial, concurrently. In a hybrid trial, the system enables interactive and blind dual data entry of each Case Report Form (CRF) with an audit trail for sites using paper processes to capture data.