The clinical trial industry plays a vital role in advancing medical innovation, yet selecting the right trial sites remains a significant challenge. Despite having numerous potential research sites available, the process is often hindered by personal networks, data fragmentation, and reliance on subjective metrics, leading to delayed trials and underutilized capacities.

Kitsa, a health-tech firm, is addressing these challenges by leveraging Amazon Quick Automate to streamline site selection for clinical trials. Their innovative solution combines diverse data sources—such as demographic information, disease prevalence, and past performance metrics—into a single analytics engine, helping sponsors identify the most suitable sites efficiently.

The integration of Quick Automate allows Kitsa to automatically extract and analyze over 50 data points from hundreds of thousands of websites, significantly speeding up the site feasibility process. Notably, Kitsa has achieved a 96% faster data acquisition rate and a 91% reduction in operational costs compared to traditional methods.

By implementing intelligent automation and maintaining strict compliance with regulatory standards, Kitsa’s Site Finder Agent now helps pharmaceutical companies make evidence-based decisions while allowing potential trial sites to present their capabilities in a structured format. This transformation showcases the potential of AI-driven solutions to overcome industry bottlenecks and enhance clinical trial processes.