DeepScribe ambient intelligence captures HCC codes in real time for value-based care
Clinicians in value-based care programs faced administrative burden from HCC coding and risked missing relevant codes during encounters, affecting risk adjustment factor scores and reimbursement accuracy.
DeepScribe delivered higher HCC code recapture rates, improved Risk Adjustment Factor scores, reduced administrative time, and fuller reimbursement opportunities for value-based care organizations.
Frequently asked questions
What did this team achieve with this AI workflow?
DeepScribe delivered higher HCC code recapture rates, improved Risk Adjustment Factor scores, reduced administrative time, and fuller reimbursement opportunities for value-based care organizations.
What tools did this team use?
DeepScribe, EHRs.
What results were reported?
HCC code recapture rate: Higher recapture rate of HCC codes; Risk Adjustment Factor (RAF) scores: Improved Risk Adjustment Factor (RAF) scores; Administrative time on HCC codes: Less administrative time on HCC codes; Reimbursement opportunities in value-based care: Full reimbursement opportunities in value-based care programs (source-reported, not independently verified).
How is this clinical documentation AI workflow structured?
Pre-visit HCC code surfacing → Real-time coding requirement prompts → Post-visit MEAT review and follow-up flags.