Abstract: In some aspects, orchestration logic is configured to receive, from a multi-modal interface, an upstream conversation between a doctor and a patient, provide, to at least one large language model (LLM), the upstream conversation and the patient's medical history, and cause the LLM to generate raw decision support insights. The LLM generates the raw decision support insights based at least in part on the upstream conversation and the patient's medical history. Real-time decision support logic is configured to: transform the raw decision support insights into prioritized, conversation-responsive decision support insights. The prioritized, conversation-responsive decision support insights are prioritized based on medical urgency. Presentation of the prioritized, conversation-responsive decision support insights to the doctor is responsive to downstream conversation between the patient and the doctor.