Advances in artificial intelligence are transforming how researchers analyze and interpret real-world data (RWD). AetionAI with Smart Subgroups, a feature within the Aetion® Discover application, uncovers hidden patterns in patient data by combining unsupervised learning methods with generative AI. Powered by Amazon Bedrock and Anthropic's Claude 3, this feature allows users to interact with patient subgroups by using natural language queries. Smart Subgroups identifies clusters of patients with similar characteristics across diagnoses, procedures, and therapies, uncovering previously-unidentified hypotheses to make complex RWD more accessible and interpretable.
This article outlines how AetionAI with Smart Subgroups leverages AI to enable researchers to discover patterns among patient populations and generate hypotheses more efficiently—reducing analysis time from days to minutes—without requiring deep expertise in RWD.
Check out the full article to learn how the Smart Subgroups Interpreter and Aetion Discover continue to advance the transformation of RWD into decisive evidence that shapes healthcare decisions across the biopharma, payer, and regulatory landscapes.