Building the Batman Belt: Leveraging Data and Standard of Care in Trials with Travis Caudill

https://is1-ssl.mzstatic.com/image/thumb/Podcasts211/v4/75/d9/b3/75d9b312-57f3-6f27-435b-a5548682eaca/mza_11689070401987921142.jpg/600x600bb.jpg

Trials with Maya Z

Maya Zlatanova

52 episodes

4 months ago

90% of clinical trials fail, 85% get delayed. Let’s deep dive into the world of planning and running of clinical trials with some of the most experienced and passionate people from the Industry and find out what makes trials more successful or more challenging. Welcome to Trials with Maya Z podcast! Maya Zlatanova, CEO of TrialHub: https://www.linkedin.com/in/mayazlatanova/

Life Sciences

Science

RSS

All content for Trials with Maya Z is the property of Maya Zlatanova and is served directly from their servers with no modification, redirects, or rehosting. The podcast is not affiliated with or endorsed by Podjoint in any way.

Life Sciences

Science

Building the Batman Belt: Leveraging Data and Standard of Care in Trials with Travis Caudill

Trials with Maya Z

41 minutes

1 year ago

Building the Batman Belt: Leveraging Data and Standard of Care in Trials with Travis Caudill

Meet Travis Caudill, Vice President of Feasibility and Clinical Informatics at ICON, a seasoned expert in the world of clinical trial optimization. Discover how Travis and his team are navigating the complexities of trial feasibility—using data to optimize site selection, understanding local patient journeys, and anticipating changes in the standard of care.

Follow Maya Zlatanova: https://www.linkedin.com/in/mayazlatanova/
Follow Travis Caudill: https://www.linkedin.com/in/feasibility/

(00:00) - Introduction and Background
(04:34) - The Access to Data and Tools for Analysis
(08:57) - The Focus on Optimizing Clinical Trials
(13:01) - The Impact of Data on Geographical Selection
(15:46) - The Importance of the Patient Journey
(20:07) - Engaging Investigators and Leveraging Data
(21:54) - Predicting Clinical Trial Success
(24:06) - Simplifying Decision-Making
(25:56) - Protocol Variability
(27:55) - The Need for Quick Decision-Making
(31:52) - Building Comprehensive Platforms
(34:42) - Balancing Experience and Protocol
(36:56) - Global Access and Data Penetration