WCG Launches Neurostatus-eEDSS System
System incorporates Neurostatus Definitions booklet into the electronic data entry process to improve rater accuracy and consistency.
WCG has launched an enhanced digital version of the Neurostatus-Expanded Disability Status Scale (EDSS) to capture clinical trial data. Collaborating with Neurostatus-UHB Ltd., a University Hospital Basel (UHB) subsidiary led by CEO Marcus D'Souza, M.D. and Chief Operating Officer Evy Fricker, the e-EDSS aims to improve data quality for an MS clinical trial endpoint.
While this new system is designed to enhance the rater's data entry experience, it was built to provide better data quality through the implementation of the Neurostatus proprietary scoring algorithms and edit checks, supporting the rater with real-time feedback on data inconsistencies. A web-based data review process has been incorporated into the new e-EDSS system to facilitate faster review and oversight of data quality.
D'Souza said in a press release, "Data entry is extremely fast and easy, given its almost identical replication of the paper form with which researchers are already very familiar. This system also uniquely incorporates the Neurostatus Definitions booklet into the electronic data entry process, and we cannot wait to quantify the direct impact this has on rater accuracy and consistency."
Reference: WCG Collaborates With Leading Multiple Sclerosis KOL to Launch Neurostatus-eEDSS System/PRNewswire
Driving Diversity with the Integrated Research Model
October 16th 2024Ashley Moultrie, CCRP, senior director, DEI & community engagement, Javara discusses current trends and challenges with achieving greater diversity in clinical trials, how integrated research organizations are bringing care directly to patients, and more.
AI in Clinical Trials: A Long, But Promising Road Ahead
May 29th 2024Stephen Pyke, chief clinical data and digital officer, Parexel, discusses how AI can be used in clinical trials to streamline operational processes, the importance of collaboration and data sharing in advancing the use of technology, and more.
The Rise of Predictive Engagement Tools in Clinical Trials
November 22nd 2024Patient attrition can be a significant barrier to the success of a randomized controlled trial (RCT). Today, with the help of AI-powered predictive engagement tools, clinical study managers are finding ways to proactively reduce attrition rates in RCTs, and increase the effectiveness of their trial. In this guide, we look at the role AI-powered patient engagement tools play in clinical research, from the problems they’re being used to solve to the areas and indications in which they’re being deployed.
