Patient retention or patient engagement have become a main operational challenge in today’s clinical trials. Despite major investments in decentralized models, engagement tools, and site‑facing technology, patient drop‑out still catches clinical operations teams by surprise. And when it does, the impact on timelines, data quality, and site oversight is immediate. A new upcoming webinar from Cognivia
machine learning
Many sponsors err on the side of reluctance when incorporating new technology in clinical trials. This is because some technologies have the potential to overly burden not only study operations but also (and most importantly) patients. In this blog, we walk through Cognivia’s approach – and how we make implementing new tech an easy choice.
Samuel Branders, Ph.D., Data Mining and Statistical Research Scientist of Tools4Patient (T4P) recently presented cutting-edge research at the 2018 Promoting Statistical Insight conference in Amsterdam.