Kitsa Boosts Clinical Trial Efficiency with Amazon Quick Automate
The clinical trial industry, a cornerstone of medical innovation, faces a significant bottleneck in selecting appropriate trial sites. Traditional methods are plagued by data fragmentation across siloed systems, heavy reliance on personal networks and Key Opinion Leaders (KOLs), limited visibility, and manual analysis, leading to delayed trials and missed opportunities for capable sites. Kitsa, a health-tech company specializing in AI-driven recruitment and site selection, has addressed these challenges by leveraging Amazon Quick Automate, a generative AI-powered workflow automation capability of Amazon Quick Suite.
Kitsa developed an agentic analytics engine that consolidates and analyzes data from hundreds of fragmented sources, including websites, registries, resumes, and regulatory filings. This process, traditionally slow and manual, is now transformed by Quick Automate, which enables rapid extraction, normalization, and analysis of over 50 distinct data points from hundreds of thousands of websites at scale. The solution employs an advanced multi-agent automation architecture combining UI automation, API integrations, and workflow orchestration. It uses a state-of-the-art UI Agent that takes natural language input to perform website navigation and data extraction, delivering structured outputs. A crucial human-in-the-loop (HILO) integration ensures quality control for low-confidence extractions, while robust exception handling maintains operational continuity.
The implementation of Amazon Quick Automate has yielded remarkable benefits for Kitsa. They achieved a 91% cost savings compared to legacy manual processes and a 96% reduction in data acquisition time, processing data in days instead of months. Furthermore, the solution provides 96% coverage in data extraction, surpassing manual review, all while ensuring full regulatory compliance critical for the life sciences sector. This transformation powers Kitsa’s Site Finder Agent, which objectively evaluates hundreds of site-specific parameters, enabling sponsors to make evidence-based decisions and allowing high-quality sites to showcase their capabilities effectively. This shifts site selection from a slow, relationship-driven process to a fast, data-driven, and globally scalable system, significantly enhancing efficiency and accuracy in medical research.
