RAF coder
Work the Human Review Queue, run RAF jobs, look up codes in the Crosswalk Viewer, and send provider questions.
QuickIntell AI Risk Adjustment lets care and revenue teams surface suspect conditions, optimize RAF, and prove compliance in days—not quarters, so you capture revenue accurately, reduce audit exposure, and improve care quality.
Median RAF +4.2% • Review time −63% • Payback <90 days • G2 ★4.8/5

You're stuck with fragmented data, manual reviews, and retroactive clean-ups. It costs months of effort, missed RAF uplift (3–7%), and avoidable RADV risk.
AI Risk Adjustment aggregates clinical + claims + labs, then predicts unreported conditions and closes risk gaps with transparent evidence—so you lift RAF 3–6%, cut manual review 50–70%, and pass audits with confidence.
Roles served
Each workflow is shaped around the job teams already do in RAF operations, review, finance, and compliance.
Work the Human Review Queue, run RAF jobs, look up codes in the Crosswalk Viewer, and send provider questions.
Sign off on borderline or high-impact captures, then accept, modify, or reject suggested HCCs.
Monitor RAF capture vs. benchmark, run year-end recapture sweeps, and generate CMS submission packages.
Track recapture rate, manage MA submission cycles, and watch segment mix.
Read Analytics for capture trends, financial impact, and audit readiness.
Pull export packets for auditors and review the evidence trail for audit readiness.
Transform your risk adjustment workflow with AI that delivers measurable results from day one.
Increase RAF 3–6% and reduce under-coding without adding headcount.
Prioritize members with the highest lift potential, improving gap closure 25–40%.
Reduce RADV findings and achieve >95% documentation completeness on sampled charts.
Get started in 4 simple steps and see results in days, not quarters.
Securely ingest EHR, claims (837/835), eligibility (270/271), labs, SDOH via FHIR & batch SFTP.
Select MA/ACA/HHS models, policies, review rules, and explainability thresholds.
The engine suspects, prioritizes, and assigns to coders/clinicians; pushes HCC adds/recaptures to the source system.
Real-time RAF uplift, gap closure, and audit KPIs with payer/program slicing and drill-downs.
Trusted by 60+ healthcare organizations
Cost of doing nothing
Source: QuickRCM manual Section 14, lines 13-15
$1,800 / patient / year
unrecaptured HCCs
70-75%
typical recapture vs 90%+ benchmark
3.1-3.7%
CMS-HCC v28 RAF compression
For a 5,000-life MA panel, the 90-day target is $1.4M-$2.6M annualized incremental revenue.
modeled, individual results vary
Measured across active deployments
12.1 → 4.3 minutes per chart
Average time to ROI
Range 2.8×–7.1×
AI-suggested HCCs accepted
3.5 weeks → 4.5 days
See what industry leaders say about AI Risk Adjustment
"We lifted RAF by 4.2% in one AEP cycle and cut manual reviews 63%. Audit binders generated with one click."
VP Risk & Quality
Medicare Advantage plan, 82,000-member cohort
"Worklists trimmed our chart touch rate by 58% and let clinicians focus on exceptions."
CMIO
Multi-specialty physician network, 41,000-patient cohort
"99.4% evidence completeness ended payer pushbacks."
Senior Director, Risk Adjustment
Integrated delivery network, 96,000-member cohort
G2 Rating (78 reviews)
Schellman audited (Jan–Dec 2024)
Emerging Vendor Watchlist: Risk Adjustment AI (2025)
Comprehensive capabilities that power your risk adjustment workflow
MEAT validation confirms the chart documents Monitor, Evaluate, Assess, or Treat activity for each condition, so every accepted HCC has year-specific clinical support.
Supported risk models span Medicare Advantage, ESRD, Part D, and ACA/HHS risk adjustment workflows.
| Model | Coverage |
|---|---|
| CMS-HCC v22 | Legacy Medicare Advantage HCC model support |
| CMS-HCC v24 | Concurrent CMS HCC model support |
| CMS-HCC v28 | PY2026 100% v28 support as the phase-in completes |
| ESRD-HCC v21/v24 | ESRD-specific HCC model support |
| RxHCC v08 | Part D drug-spend risk model support |
| ACA/HHS | Commercial exchange risk adjustment model support |
Works with all major EHRs and 3,500+ payors via FHIR and proprietary APIs
Launch In-Hyperspace worklists; write back problem list/coder queue via FHIR
Pull encounters, meds, labs; push HCC suggestions & tasks to inbox. AI Scribe notes upstream feed Medical Coding.
Eligibility & benefits (270/271), claim status (276/277), ERA (835) for closed-loop reconciliation. Finalized RAF flows out to Claims for MA submission.
Choose the plan that fits your organization's needs. All plans include core AI suspecting and RAF optimization.
Small provider groups & MSOs
$0.19/chart or $0.55/member-month
Regional plans, ACOs, large groups
$0.14/chart or $0.39/member-month
National payors & IDNs
Custom (risk-share available)
60 days, up to 50k charts or 25k members. Success = ≥3% RAF uplift or ≥40% review-time reduction → credit 100% of pilot fee to Year-1. Usage-based options available for chart volumes / member-months.
Enterprise-grade security and compliance built into every aspect of our platform
Uptime SLA
99.9% SLA (actual 99.96% last 12 months)
Disaster Recovery
RPO 4h, RTO 8h; multi-AZ HA; monthly DR drills
Get answers to common questions about AI Risk Adjustment.
Trusted by 60+ healthcare organizations using AI Risk Adjustment to maximize RAF, reduce audit exposure, and improve care quality.