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As large language models make their way into medical coding, health systems are facing a tough reality: most models aren’t yet reliable. Coding inaccuracies, flawed HCC score capture and downstream financial risks are emerging as common concerns. In this on-demand…
On Demand
Presented by:
- Vidhya Sivakumaran, PhD, VP, Clinical Informatics & Terminology, Data Engineering, IMO Health
- Jingqi Wang, PhD, SVP, Data Science & Chief AI Architect, IMO Health
