The trends infiltrating the clinical research industry – wearable integrations, mobile apps, machine learning, and more – aren’t just exciting concepts. They’re made possible and are now being used in studies with today’s technology.
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.
Research professionals now have access to enhanced capabilities, such as adjudication and risk-based monitoring, on mobile devices with Crucial Data Solutions’ most recent update for TrialKit on iOS.
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.
Now available on the App Store, TrialKit™ is an EDC system that enables researchers to build, deploy and manage an unlimited number of regulatory compliant studies entirely on a mobile device with no programming involved. This native mobile app makes enrolling and engaging study participants simple and straightforward for research teams.
Crucial Data Solutions presented at the SCDM 2016 Annual Conference in San Diego. CDS garnered second place for the Technology Innovation Award in 2016.
Crucial Data Solutions, Inc. (CDS) announced today the release of their latest medical coding tool that can be used on any web browser or the TrialKit native iOS app.
TrialKit, a clinical trial management and electronic data capture system developed by Crucial Data Solutions (CDS), has won the annual Society for Clinical Data Management (SCDM) NextGen Technology Innovation (TIA) Award, presented as part of SCDM’s 2015 annual conference in Washington, D.C.
