Stakeholder-driven development and implementation of CRICIT: an app to support high-quality data capture and protocol monitoring for outpatient clinical trials with vulnerable populations.

Katie Clark Caleb J RuthKathryn A ThomasKatherine DunhamMadelene TravisKristian Rivera-SantiagoLauren Brinkely-RubinsteinEmily Wang

Published in: Journal of clinical and translational science (2023)

CRICIT is highly customizable, adaptable, and secure. Its implementation has enhanced the quality of the study's data, increased fidelity to a complicated research protocol, and reduced research staff's administrative burden. CRICIT and similar systems have the potential to streamline research activities and contribute to the efficient collection and utilization of clinical research data.

Keyphrases

electronic health record
clinical trial
big data
healthcare
primary care
randomized controlled trial
quality improvement
artificial intelligence
risk assessment
deep learning