Thermo Fisher Scientific Leverages AWS to Build AI-Powered Patient Matching Tool for Clinical Trials
Thermo Fisher Scientific has developed an AI-powered patient matching tool, Patient Match AI, on Amazon Web Services (AWS) to significantly enhance patient recruitment for clinical trials. This initiative addresses the challenge of fragmented patient data spread across multiple systems, which previously made identifying relevant patient populations a lengthy and complex process. By establishing a modern, curated patient recruitment data foundation on AWS, Thermo Fisher Scientific has unified over 20 million patient profile records (approximately 1.6 TB) from various sources. Patient Match AI allows recruitment teams to use natural language queries to quickly identify and refine patient cohorts, reducing analysis time from days or weeks to minutes. This self-service capability, alongside a Central Insights Hub (CIH) for recruitment analytics, provides a clearer view of recruitment performance across studies, sites, and geographies.
