TrialKit, an app for electronic data capture (EDC) in clinical research, now employs the use of facial recognition technology for easier and more secure user authentication.
Fully-featured eClinical app, TrialKit, will soon be released on Google Play by Crucial Data Solutions, making clinical data collection and management possible on the majority of smartphones available today.
Preclinical labs, which have typically relied heavily on spreadsheet-based data collection, are perfect candidates for electronic data capture. Read on for several ways EDC offers improvements to preclinical research.
TrialKit, a fully-featured eClinical platform, utilizes the latest in mobile technology to provide researchers with the most efficient method for clinical trial data collection. It is a regulatory compliant, ready-to-use native mobile app offering numerous features, including medical coding and ePRO.
A number of contributing factors can leave research teams feeling dependent on paper-based or spreadsheet data collection and apprehensive to transition to EDC. However, this traditional method has significant downfalls to consider.
Software validation is a major consideration when evaluating tools to aid the clinical research process. This blog post details the questions to ask and things to look for when assessing data collection and study management software.
What should research teams take into consideration when evaluating a data collection and study management solution’s storage capabilities? In this post, we take a look at different elements of database storage and how they apply to clinical trials.
