Join health informatics experts to explore the often-overlooked gap between provider language and standardized medical terminology. When clinicians document care in natural language but systems rely on rigid code sets, the result can be inconsistent data, workflow friction, and unreliable inputs for AI.
This session will unpack the downstream impact of this language disconnect and explore how a clinical interface terminology layer can translate provider intent into structured, AI-ready data—helping healthcare organizations build a stronger foundation for analytics, automation, and AI-driven care.
