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Improving HCC coding accuracy can feel impossible when clinicians are already busy and wary of new tools. This was precisely the challenge facing a large, multi-specialty medical group with 180 clinicians across primary and specialty care.
This case study shows how they overcame low recapture rates, missed chronic conditions, and tool fatigue by pairing real-time AI suggestions with bite-sized mobile learning.
The result? Sustained engagement, higher coding accuracy, and nearly doubled RAF scores, all without adding friction to providers’ workflows.