By Jennifer Price, Executive Director of Data & Analytics, THREAD
Despite the growth in decentralized clinical trials (DCTs) enabled by advanced technologies that allow data to be collected directly from participants in the home or wherever they are, standards and approaches for measuring study success have not kept pace.
Remote technologies allow for data to be collected and uploaded to electronic platforms in real time, yet many managers of clinical research studies are continuing to use study performance metrics designed around traditional, site-based studies.
Effective approaches to study performance measurement must match the studies themselves in terms of using advanced technologies and modern approaches. This report will discuss an approach to study performance monitoring, in particular the ability to track study performance in real-time combined with the use of advanced predictive analytics, providing users with full visibility into how their study is performing in several key categories while simultaneously showing where the data is likely to go in the future. With this level of comprehensive insight, sponsors and CROs can identify potential problem areas and make the necessary changes to get their study back on track.