#14 – What’s Next For Data-Driven Clinical Trials?

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Episode Details

In this episode, we hear from our guest: Travis Caudill, VP, Feasibility & Clinical Informatics at ICON.

Topics discussed:
  • Travis Caudill shares his journey from a health insurance company to becoming an expert in data migration and feasibility in clinical trials.
  • The evolution of clinical trial data: Travis emphasizes how the industry has dramatically advanced from manual data entry to leveraging sophisticated AI for better decision-making.
  • AI’s transformative impact in 2023 and beyond: Travis delves into AI’s role in clinical trials, discussing its benefits and challenges, emphasizing continuous innovation and skepticism in the industry.
  • The intersection of AI, diversity, and site selection: Travis highlights the critical importance of aligning AI-driven technology with patient needs, emphasizing the need for inclusivity and efficient site selection in clinical trials.

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Journey to AI Integration in Clinical Trials

Travis Caudill’s career spans significant transitions in clinical trial methodologies, from early days of manual data processing to the current AI-driven landscape. His initial involvement in data modernization laid the foundation for his expertise in clinical trial feasibility.

AI: The Game-Changer in Clinical Trials

In 2023, AI’s impact on clinical trials became increasingly apparent. Travis reflects on AI’s transformative role, starting with their first AI product introduced in 2020. The focus on incorporating AI into existing platforms and optimizing data models for better trial outcomes was a key trend.

Challenges and Opportunities with AI in Clinical Trials

Travis discusses the skepticism within the industry towards rapid technological change, particularly AI. Despite AI’s potential, he stresses the ongoing necessity of human engagement and the importance of iterative learning and partnership.

Improving Patient Inclusivity and Site Efficiency

A significant aspect of Travis’s work involves aligning clinical trials with diverse patient needs. He shares insights into optimizing trial designs and leveraging AI to improve patient inclusivity and site efficiency, especially considering the current healthcare resource constraints.

Looking Ahead: AI’s Evolving Role in 2024

As the industry moves into 2024, Travis predicts continued focus on AI but emphasizes the importance of practical application and real-world impact on trials. He encourages continued experimentation and collaboration within the industry to harness AI’s full potential.

Travis Caudill’s Key Tips for Future Trials

In conclusion, Travis offers three tips for professionals in feasibility and clinical trials: be curious, ask questions, and always center the patients in every stage of the study. These principles are crucial for navigating the evolving landscape of clinical trials.

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