Medidata
+ Anthropic

Video transcript: Meet Indu, a clinical trial study planner. She is conducting a feasibility analysis for an Alzheimer's study and needs to quickly identify high performing sites. However, she struggles to come up with country and site recommendations due to fragmented and outdated data. Indu prompts Claude to find high performing sites by simply providing basic details about her study. Claude leverages an integration with Medidata's cross industry site performance dataset and predictive site ranking AI algorithms to provide rich and relevant insights. Here, Claude returns a summary of the predicted top performing sites by country, allowing Indu to quickly understand the landscape of ideal sites. Indu further asks Claude to identify countries at risk of enrollment competition where sites might compete with each other for the same patient pool. Claude analyzes Medidata's recommended sites and flags the highest risk countries, enabling Indu to strategically adjust her site selection to maximize enrollment. Finally, for her study, Indu wants to identify sites that have access to critical equipment, such as a tau PET scan. Claude not only identifies Medidata's recommended sites that have the appropriate equipment on-site but critically also identifies those with equipment access via affiliations or partnerships. This is the power of Medidata and Clot's unified capabilities in action, integrating AI analytics and data across platforms to simplify the study planner's life by transforming data into strategic foresight and ensuring confidence in clinical trial execution.