AI-assisted coding
AI suggests codes from documentation — certified coders verify and own the final coding.
AI-assisted revenue cycle management — coding support, claim scrubbing, denial prediction, AR prioritization and payment posting — reviewed by certified specialists at every step.
AI is now genuinely useful across the revenue cycle — coding suggestions, claim scrubbing, denial prediction, AR prioritization and payment posting. But AI in healthcare has one rule: it never replaces accountability. Any code, claim, appeal or posting that affects revenue or compliance still needs a certified human behind it.
Opervics runs AI-assisted RCM as a managed function — AI supports each step, certified coders and billers review and own every output, and reporting shows both the speed gain and the accuracy that keeps it defensible.
AI suggests codes from documentation — certified coders verify and own the final coding.
Claims scrubbed for common errors before submission — reducing first-pass denials.
High-risk claims flagged early — worked before they become denials.
AR worked in priority order — highest recovery potential first.
Every AI-assisted output reviewed by certified coders and billers before it commits.
Clean claim rate, denial rate, AI accuracy, days in AR and recovery trend.
These are the same operational issues we see across clients — and the same ones our process is designed to remove.
Code, claim and AR output committed with no certified human in the loop.
Denials worked only after they happen — never predicted or prevented.
Low-value claims worked first — high-recovery opportunities sit and age.
Certified coders doing work AI could draft — and still backed up.
Nobody knows how often AI suggestions are right — or where they fail.
Clean claim rate, denial rate and days in AR not tracked consistently.
Every service inherits the same baseline security posture, then adds service-specific controls on top.
Access, change management, monitoring and incident response aligned to HIPAA.
PHI access, redaction, minimum-necessary and audit logging defined with your team.
Every AI-assisted output reviewed by certified specialists before it commits.
Clean claim rate, denial rate, AI accuracy and days in AR reported weekly.
No — AI drafts, suggests and prioritizes. Certified coders, billers and specialists review and own every output before it commits.
Coding suggestions, claim scrubbing, denial prediction, AR prioritization, payment posting and reconciliation.
Human-in-the-loop review, coding certification rules, claim QA on every batch and audit-ready logs.
BAAs, PHI handling rules, redaction, role-based access, audit logging and least-privilege permissions — with your compliance team.
Clean claim rate, denial rate, AI accuracy, days in AR and collections — reported weekly.
Percentage of collections, per claim, per FTE, or a monthly retainer — agreed upfront.
A short conversation is usually enough to scope the cycle and propose a starting point.