Patient adherence remains a significant challenge in clinical research and medical practice, affecting drug development, healthcare costs, and most importantly, patient safety and well-being. We recognize the need to address this issue and are excited to present our upcoming webinar, where we will explore a newly released solution predicting the risk of lack of patient adherence to treatment/dropout from the study.
Clinical research aims to assess the safety and effectiveness of new treatments, but the lack of medication adherence and the need to recruit more participants due to patient dropouts result in compromised risk/benefit assessments, increased costs, and logistical challenges. To optimize clinical trial conduct and personalize the patient’s trial journey, it is crucial to encourage adherence and offer proactive strategies tailored to individual patient profiles. Our webinar will showcase a groundbreaking solution, Compl-AI, designed to predict the risk of non-adherence to treatment and dropout. By capturing patients’ psychology and specific characteristics, Compl-AI provides access to previously unattainable insights. This intuitive, easy-to-use interface empowers sponsors, CROs, and adherence management professionals with personalized patient engagement strategies.
Join us for this exclusive webinar to discover how this innovative prediction tool can enhance the patient’s journey and transform clinical study conduct. By incorporating individual patient psychology, perceptions, and beliefs, you can mitigate the risk of non-adherence and dropout, ultimately improving patient outcomes.
- How accounting for individual patient psychology, perceptions and beliefs can mitigate the risk of non-adherence to treatment and dropout
- The advantages of integrating this approach into overall patient engagement strategies
Don’t miss out on this opportunity to revolutionize patient adherence in clinical trials. Register now to secure your spot and unlock the potential of personalized patient engagement strategies.
Date: Wednesday June 21st 2023
Time: 10.00 AM EDT | 3.00 PM BST | 4.00PM CEST