Mayo Clinic Platform announced the commercial launch of an AI-enabled Clinical Decision Support (CDS) solution designed to embed curated medical knowledge directly into clinician EHR workflows, available to internal Mayo Clinic clinicians and external healthcare organizations participating in Mayo Clinic Platform’s healthcare provider programs. The architecture addresses cognitive overload and information fragmentation by reducing the need for physicians to exit the electronic health record to cross-reference disparate medical reference resources. The solution sits within the primary EHR interface and includes a Subspecialty-Specific Clinical Chat covering 35+ specialties, powered by an integrated large language model, which mirrors Mayo Clinic’s subspecialty practice model and automatically cites relevant peer-reviewed biomedical literature. The specialty chat tool is updated daily, indexing emerging clinical trial results, revised guideline statements, and newly issued drug safety warnings alongside established clinical pathways. The suite also includes 22 clinical risk and diagnostic calculators accessible via text chat or conversational voice dictation, integrating industry-standard clinical risk stratification algorithms alongside proprietary risk-scoring tools developed and validated by Mayo Clinic investigators. Gelareh Zadeh, M.D., Ph.D., Chair of Neurosurgery at Mayo Clinic in Rochester and Distinguished Chief Medical Officer for Mayo Clinic Platform, said the CDS solution is designed to assist healthcare professionals as they make patient care decisions and does not replace clinical judgment, adding that Mayo Clinic physicians provided feedback on the different tools.