Interest in using artificial intelligence (AI), like large language models (LLMs), to support medical coding is on the rise. But without clinical grounding, even the most advanced models can produce inaccurate or incomplete results.
This guide explores how a clinical knowledge layer – built on robust medical terminology and domain-specific expertise – can significantly improve LLM performance. Learn how to enhance your models for greater coding precision, downstream analytics, and operational efficiency.
Key Learnings:
Why out-of-the-box LLMs often struggle with medical coding
The importance of a clinical knowledge layer rooted in ontologies and informatics
How IMO Health’s approach improves mapping accuracy and enables scalable AI
Featured speaker(s)
April Curtis
Marketing Director
IMO
Thomas Magnum
Marketing Manager
IMO
B.A. Baracus
Data Analyst
IMO
B.A. Baracus
Data Analyst
IMO
Who It's For
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