Optimizing Clinical Trials Using Electronic Measurement and Analysis of Drug Adherence
Drug development has never before been so difficult, time consuming and expensive. Accuracy in clinical trials, therefore, is a priority
Drug development has never before been so difficult, time consuming and expensive. Accuracy in clinical trials, therefore, is a priority. However, suboptimal adherence is prevalent in ambulatory trials, in which outpatients are responsible for taking the drug according to the protocol-specified dosing regimen. Unfortunately, most methods for measuring medication adherence are inaccurate, which can result in costly phase III failures. This whitepaper focuses on a proven exception-automatic adherence measurement through electronic compilation of drug dosing histories. Electronic measurement enables a better understanding of drug safety and efficacy data, improving the likelihood of a successful trial outcome and more informed development decisions, leading to faster speed to commercialization.
Read more on our whitepaper here.
Driving Diversity with the Integrated Research Model
October 16th 2024Ashley Moultrie, CCRP, senior director, DEI & community engagement, Javara discusses current trends and challenges with achieving greater diversity in clinical trials, how integrated research organizations are bringing care directly to patients, and more.
AI in Clinical Trials: A Long, But Promising Road Ahead
May 29th 2024Stephen Pyke, chief clinical data and digital officer, Parexel, discusses how AI can be used in clinical trials to streamline operational processes, the importance of collaboration and data sharing in advancing the use of technology, and more.
The Rise of Predictive Engagement Tools in Clinical Trials
November 22nd 2024Patient attrition can be a significant barrier to the success of a randomized controlled trial (RCT). Today, with the help of AI-powered predictive engagement tools, clinical study managers are finding ways to proactively reduce attrition rates in RCTs, and increase the effectiveness of their trial. In this guide, we look at the role AI-powered patient engagement tools play in clinical research, from the problems they’re being used to solve to the areas and indications in which they’re being deployed.
