Coding accuracy your auditors won't flag twice.
AAPC- and AHIMA-certified coders paired with AI-assisted chart review, tuned to your specialty mix and payer rules.
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Coding accuracy rate
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Average chart turnaround
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Specialties covered
How Sevynox approaches medical coding
Sevynox coding teams work inside your EHR and encoder of choice, not a workaround. Every chart is routed by specialty to a certified coder with relevant credentialing, then passed through our accuracy engine before it ever touches a claim.
We treat coding as the control point for the entire revenue cycle: get it right here and denials, underpayments, and compliance exposure downstream all drop. Get it wrong and everything after it inherits the error.
What changes once this is running.
Specialty-matched coders
Charts route to coders certified in that exact specialty, not a general pool.
Dual-layer accuracy review
Every chart passes an AI-assisted pre-bill check plus human QA sampling.
Faster clean-claim rate
Fewer coding-driven denials means claims move on the first pass.
Full audit trail
Every code change is logged with rationale, tied back to documentation.
How an engagement actually runs.
Chart intake
Encounters route automatically from your EHR by specialty and priority.
Certified coding
A credentialed coder assigns codes against current CPT, ICD-10-CM, and HCPCS guidance.
AI-assisted validation
Our accuracy engine flags mismatches between documentation and code selection before submission.
QA sampling & release
A statistically sound sample is audited, then the batch releases to billing.
What's included.
EHR-native workflow
No swivel-chair work — coders operate directly inside Epic, Cerner, athenahealth, and others.
Specialty depth
From orthopedics to interventional cardiology to behavioral health.
Real-time dashboards
Turnaround, accuracy, and query rates visible by provider and specialty.
Physician query management
Structured, trackable queries close documentation gaps without slowing coders down.
The AI layer behind this service.
NLP-assisted chart abstraction
Natural language processing pre-highlights codable documentation for faster, more consistent review.
Predictive denial signals
Coding patterns are cross-checked against historical payer denial data before submission.
Specialty rules engine
Payer- and specialty-specific edits are applied automatically ahead of human review.
Multi-specialty physician group, 140 providers
Challenge — A rapidly growing physician group was coding in-house with a small team that couldn't keep pace with volume, resulting in a three-week chart backlog and a coding accuracy rate hovering near 91%.
Approach — Sevynox deployed a specialty-matched coding pod alongside AI-assisted pre-bill validation, integrated directly into the group's existing EHR within four weeks.
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Accuracy after 90 days
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New average turnaround
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Reduction in coding-related denials
Questions we hear most.
See what medical coding looks like on your own claims.
A working session with our team, scoped to your specialty mix and payer contracts — not a generic slide deck.