Unlocking AI-driven Clinical Research Analytics
Increase Participants’ Interaction, Retention & Trial Efficiency

The challenges faced by the clinical trials ecosystem are significant, with 37% of sites consistently missing enrollment targets, 85% experiencing poor research participant retention, and a notable 10% decrease in ROI over the past decade. The emergence of AI brings hope for overcoming these hurdles.

In the realm of clinical trials, where precision and efficiency are paramount, the integration of AI-driven analytics has emerged as a transformative force. This cutting-edge technology is reshaping the landscape of Clinical Research Performance Management, propelling research and development to unprecedented heights.

AI has the potential to accelerate clinical research participants’ enrolment by 12-15%, reduce dropout rates by 10%, and lead to a 29% decrease in regulatory violations. These advancements are crucial in the quest for more efficient trial management and the timely delivery of innovative therapies worldwide.

This whitepaper explores the transformative potential of AI and digital solutions in addressing the pressing challenges faced by the clinical research ecosystem. By leveraging AI, the clinical trials landscape can significantly improve its overall efficiency, enhance decision-making with real-time insights, and proactively mitigate risks. Digital transformation is vital for both accelerating medical research and improving clinical trial outcomes, ultimately driving the future of clinical studies into a more streamlined, data-driven, and impactful era.

Get your copy of TCG Digital's whitepaper on "Unlocking Clinical Trial Potential with AI-Driven Transformation" to explore how artificial intelligence can revolutionize the clinical research landscape, addressing challenges and enhancing outcomes. Discover the transformative power of AI in optimizing research participants’ engagement, retention, and overall trial efficiency.