AI Medical Coding That Finally Keeps Up With Your Revenue Cycle
Turn notes into accurate ICD-10, CPT, HCPCS, DRG codes with >90% recall & precision
QuickCode is a HIPAA & SOC2 compliant AI medical coding engine that turns any medical document, text, or encounter into accurate medical codes—ICD-10, CPT, HCPCS, Revenue codes, DRG, NDC, ICD-10 AM—with >90% recall and precision.
Code charts in seconds, not hours. Reduce denials. Increase revenue.
Guardrails block invented codes • All code types supported • APIs available • Train on your past claims for even greater accuracy
On this page:
What Is QuickCode? AI Medical Coding for ICD-10, CPT, HCPCS, DRG, NDC, Revenue Codes, ICD-10-AM
What is AI medical coding? AI medical coding is the automated extraction of accurate medical codes from clinical documentation using artificial intelligence. QuickCode converts provider notes, EHR encounters, discharge reports, and other medical documents into ICD-10, CPT, HCPCS, DRG, NDC, and revenue codes with clinical-grade accuracy.
QuickCode delivers faster turnaround, higher accuracy, fewer denials, and complete auditability—transforming how RCM teams handle medical coding at scale.
Accuracy
>90% recall and precision on large datasets
Speed
Codes in seconds, not hours—40–60% faster turnaround
Denials
15–25% fewer coding-related denials with rule checks
Auditability
Traceable evidence and rationale for every code
How accurate is AI medical coding?
QuickCode achieves >90% recall and >90% precision on large, de-identified datasets across multiple specialties. Client-specific tuning can add 3–7% recall improvement.
Does it integrate with my EHR?
Yes. QuickCode integrates via REST APIs, HL7/FHIR, and batch APIs/SFTP. Works with Epic, Cerner, eClinicalWorks, Athena, NextGen, and standard PM/RCM stacks.
Is it HIPAA compliant?
Yes. HIPAA-compliant with BAA, SOC 2 controls, encryption in transit and at rest, RBAC, and full audit logs. Configurable retention and data residency controls.
How is pricing calculated?
Per-chart pricing ranges from $0.50–$1.00 depending on monthly volume, complexity mix, and SLAs. Volume tiers available: Growth (≤10k/mo), Scale (10k–50k), Enterprise (50k+).
What is AI medical coding software?
TL;DR: AI medical coding software automatically converts clinical notes into ICD-10, CPT, HCPCS, and DRG codes. QuickCode achieves >90% recall and precision autonomously — extracting diagnoses, applying modifiers and E/M levels, and validating against payer rules in seconds, not minutes. Integrates with Epic, Cerner, and Athenahealth via FHIR/HL7. HIPAA and SOC 2 compliant across all major medical specialties.
The Problem: Manual Medical Coding Is Killing Your Revenue Cycle
The Problem
- •Coders are overwhelmed with backlogs—charts sit uncoded for days or weeks
- •Manual coding errors lead to denials, undercoding, and lost revenue
- •Hiring and training coders is expensive and time-consuming
- •Inconsistent coding quality across your team creates compliance risk
- •Every coding guideline update requires retraining and slows throughput
Days-to-cash stretch, denials pile up, and revenue leaks through coding gaps. This shouldn't be how RCM works.
The Solution
QuickCode is an AI medical coding engine purpose-built for RCM that:
- ✓Automatically codes any medical document, text, or encounter in seconds
- ✓Extracts all code types: ICD-10, CPT, HCPCS, Revenue codes, DRG, NDC, ICD-10 AM
- ✓Achieves >90% recall and >90% precision on internal benchmarks
- ✓Zero hallucinations—guardrails prevent invented codes
- ✓Option to train on your past claims data for even greater accuracy
- ✓REST APIs integrate directly into your RCM workflow
Simple, transparent pricing: $0.50–$1.00 per chart depending on volume and complexity.
Outcomes: Faster Turnaround, Fewer Denials, Higher Collections
QuickCode delivers measurable value across your entire revenue cycle
For RCM Leaders & Billing Teams
Eliminate coding backlogs
Code charts in seconds instead of hours. Process thousands of charts daily without adding headcount.
Reduce denials and undercoding
>90% precision means fewer coding errors, fewer denials, and more complete revenue capture.
Faster days-to-cash
Charts coded immediately after documentation means claims go out faster and payments arrive sooner.
Scalable without scaling costs
Handle volume spikes without hiring. One AI engine codes as fast as you can feed it documents.
For Coding Managers & Directors
Consistent coding quality
AI applies coding guidelines uniformly across all charts, reducing variability and compliance risk.
Focus coders on complex cases
Let AI handle routine coding while your team tackles complex cases that require human judgment.
Train on your historical data
Option to train QuickCode on your past claims data for even greater accuracy aligned with your coding patterns.
Real-time coding insights
Track coding accuracy, throughput, and trends with built-in analytics and reporting.
For CFOs & Finance Leaders
Clear ROI from day one
Reduce coding costs per chart, increase first-pass yield, and shrink days-to-cash—all measurable from the start.
Predictable, transparent pricing
$0.50–$1.00 per chart depending on volume and complexity. No hidden fees, no surprises.
Reduce reliance on contractors
Cut expensive coding contractor costs and overtime while maintaining or improving throughput.
Better revenue capture
More accurate coding means fewer denials, less undercoding, and cleaner revenue recognition.
For IT & Integration Teams
REST APIs ready to integrate
Simple REST APIs let you send documents and receive codes. Webhooks notify you when coding is complete.
Works with any document format
Accepts PDFs, text, structured data, or direct EHR integration. Flexible input, consistent output.
HIPAA & SOC2 compliant
Enterprise-grade security with PHI encryption, audit logs, and compliance controls built-in.
Fast implementation
Get started in days, not months. Simple API integration means you can be coding with AI within a week.
How QuickCode Works (Step-by-Step)
Turn any medical document into accurate codes in seconds—no manual coding required
Ingest encounter
Submit notes via API, HL7/FHIR, batch or console. Accepts provider notes, EHR encounters, discharge/operative reports, dictations, transcripts, PDFs and scanned docs (with OCR).
Understand clinical context
Clinical NLP extracts problems, procedures, meds and context. AI engine trained on 5M+ medical datasets understands clinical terminology across all specialties.
Map to codes
Generate ICD-10, CPT, HCPCS, DRG, NDC and revenue codes. Complete code sets with rationales, confidence scores, and links to supporting text.
Validate with guardrails
Apply code-set checks, NCCI/LCD/NCD, MUEs and payer rules. Multi-layer guardrails validate codes against official code sets, effective dates, and client rules.
Approve & export
Coder reviews confidence and evidence, then exports to EHR/RCM. Codes returned via API, webhook, or direct integration with full audit trails.
No change to your workflow. Massive change to your coding throughput and accuracy.
Every code is checked against 8 payer rule layers before it leaves the editor.
QuickCode runs an automated 8-step claim scrub on every encounter — the same NCCI, MUE, LCD/NCD, and modifier checks that historically catch denials post-submission, run before the claim reaches the payer. Coding-driven denials drop from 4–7% of claims to under 1.5%, with NCCI/MUE denials specifically falling below 0.5%.
- 1NCCI
- 2MUE
- 3Medical Necessity
- 4LCD / NCD
- 5Frequency
- 6Bundling
- 7Documentation
- 8Modifier
NCCI → MUE → Medical Necessity → LCD/NCD → Frequency → Bundling → Documentation → Modifier
National Correct Coding Initiative
Practitioner-to-Practitioner edits flag CPT pairs that can't be billed together without a justifying modifier (e.g., 93000 with 99214). The scrub suggests the right modifier or removes the conflict.
Medically Unlikely Edits
Per-code daily quantity limits enforced for every CPT/HCPCS line. If a unit count exceeds the CMS MUE for the code, the line is flagged before it leaves the editor.
Diagnosis-to-procedure linkage
Every CPT must point to an ICD-10 that supports medical necessity. Unsupported procedures fail the scrub and trigger a CDI clarification rather than a denial later.
Local & National Coverage Determinations
Medicare coverage policies are checked at the MAC and national level. The scrub catches non-covered diagnoses, frequency limits, and documentation requirements before submission.
Per-patient frequency limits
Annual physicals, screening colonoscopies, well-woman exams, and other frequency-limited services are checked against the patient's claim history so duplicates never reach the payer.
CPT bundling rules
CCI bundling, separate-procedure rules, and global-period edits collapse codes that should be billed as one. The scrub explains why and shows the correct combined billing.
Documentation sufficiency
Each suggested code is linked back to the exact note evidence. If E/M level, time, or procedure detail isn't documented, the line fails before billing — no invented support.
Modifier validation
Modifiers (25, 59, X{EPSU}, 26, TC, 76, 77, RT/LT, etc.) are validated against the procedure, payer policy, and place of service. Wrong or missing modifiers are auto-suggested or flagged.
All 8 layers clear — claim is cleared to flow to the Claim Editor and out to the payer.
Edits with auto-fix suggestions or modifier additions. Coder reviews, accepts, and re-runs the scrub.
Claim is held — cannot leave the editor unless a manager overrides with a documented reason. Every override is logged.
Why It's Different: >90% Recall & Precision, Guardrails, Client-Trained Models
Clinical-grade accuracy, safety, and compliance built into every coding decision
Recall Rate
Captures >90% of all codes present in documentation
Precision
>90% of suggested codes are accurate and valid
Training Datasets
Model trained on 5M+ open, synthetic, and proprietary medical datasets
Hallucinations
Guardrails prevent invented codes—only codes supported by documentation
Code Linked to Source
Each suggested code traces to the exact source text in the chart, with an audit log on every override
Code Types Supported
ICD-10, CPT, HCPCS, Revenue codes, DRG, NDC, ICD-10 AM
Coding-Grade Accuracy & Safety
Tuned for Medical Coding
Understands clinical context, coding guidelines, and payer requirements across all specialties
Guardrails Against Hallucinations
Model constrained to codes actually supported by the documentation. No invented codes.
Flags Uncertainties
Ambiguous cases are flagged for coder review instead of guessing
Built for Real RCM Operations, Not Just Demos
QuickCode works with the systems and workflows you already use
All Code Types Supported
ICD-10, CPT, HCPCS, Revenue codes, DRG, NDC, ICD-10 AM—all major code sets used in medical billing and RCM. Handles complex coding scenarios across all specialties.
REST APIs & Webhooks
Simple REST APIs integrate directly into your RCM workflow. Send documents, receive codes. Webhooks notify you when coding is complete. Works with any billing system.
Production-Ready Accuracy
Trained on 5M+ medical datasets with >90% recall and precision. Option to train on your historical claims data for even greater accuracy aligned with your coding patterns.
"Designed for real RCM operations, not just demos"
QuickCode is optimized for real-world medical coding scenarios, complex documentation, and the volume demands of actual billing operations—not just perfect test cases.
Implementation Timeline: Go Live in 4–8 Weeks
Most pilots go live in 4–8 weeks, depending on IT readiness. Light IT/EHR time for interfaces and security review; coding leadership/QA for threshold tuning and acceptance.
Expected Outcome Ranges
Targets QuickCode is engineered to achieve in production deployments
First-Pass Acceptance
Up from 70–80% baseline within 90 days
Coding-Driven Denials
Down from 4–7%; NCCI/MUE specifically <0.5%
Coder Time per Outpatient E/M
Down from 8–12 min per chart
HCC Capture Rate
Risk-adjusted condition capture accuracy
Reimbursement Lift
Net revenue improvement from cleaner coding
Clarification Turnaround
Down from 3–7 days for physician queries
Internal benchmarks from QuickRCM deployments; actual lift depends on payer mix, documentation quality, workflow scope, and coding review thresholds.
HCC Capture, Hierarchy Exclusion & CMS-HCC v28 RAF Scoring
QuickCode validates HCC capture, applies CMS hierarchy automatically, and produces a CMS-submission-ready RAF score for every Medicare Advantage, ESRD, and risk-bearing-contract chart — with an audit trail that links every captured HCC back to its source ICD-10, model version, hierarchy decision, and reviewer.
ICD-10 to HCC crosswalk
Every ICD-10 on the encounter is mapped to its CMS-HCC v28 category, including dual-mapped codes (e.g., E11.22 captures both diabetes and CKD HCCs).
Hierarchy exclusion applied
CMS hierarchy automatically suppresses lower-severity HCCs when a more specific condition is captured (e.g., HCC 17 suppresses HCC 18). The dominant HCC must be supported by documentation.
Segment + RAF calculation
Demographic flags (dual-eligible, disabled, institutional, ESRD) drive segment selection, then Intercept + Demographics + HCC factors + Interactions are summed and normalized into the final RAF score.
CDI query for missing capture
If a documented chronic condition (CKD stage 3, diabetic neuropathy, etc.) isn't captured, QuickCode opens an HCC suggestion query to the provider — not an invented code.
RAF score breakdown
QuickCode shows the math behind every RAF score so coders and clinical reviewers can defend the number, not just accept it.
- InterceptBase value for the segment
- DemographicsAge, sex, dual-eligible, disabled, institutional, ESRD
- HCC factorsCoefficients for each captured, hierarchy-cleared HCC
- InteractionsDisease + disabled / dual interaction terms
- NormalizationPayment-year normalization factor applied to the raw score
Why this matters for Medicare Advantage
- 94%+HCC capture of identified opportunities once QuickCode is in the workflow, vs. a typical 70–75% recapture baseline.
- CMS-HCC v28v28 is the default for 2026, with the right model and payment-year normalization factor applied automatically so practices don’t lose more than the 3.1–3.7% phase-in compression.
- < 48 hrsClinical review cycle for borderline captures, with optional reviewer sign-off enforced when
riskAdjustmentHumanReviewRequiredis on — the score isn’t CMS-submission-ready until a reviewer signs off.
Comprehensive AI Medical Coding Features
Everything you need for automated, accurate medical coding
Comprehensive Code Extraction
- ICD-10 diagnosis codes with full specificity
- CPT procedure codes with modifiers
- HCPCS codes for supplies and services
- Revenue codes for facility billing
- DRG assignment for inpatient cases
- NDC codes for medications
- ICD-10 AM for international coding
High Accuracy & Performance
- >90% recall rate—captures codes you might miss
- >90% precision—codes are accurate and valid
- Trained on 5M+ medical datasets (open, synthetic, proprietary)
- Option to train on your historical claims data
- Zero hallucinations—guardrails prevent invented codes
- Confidence scores for every code suggestion
Flexible Integration & APIs
- REST APIs for easy integration
- Webhooks for real-time notifications
- Accepts PDFs, text, structured data, or direct EHR feeds
- Batch processing for high-volume workflows
- Real-time coding for immediate results
- Works with any RCM or billing system
Enterprise Security & Compliance
- HIPAA compliant with BAAs available
- SOC2-aligned security controls
- PHI encrypted in transit and at rest
- Audit logs for all coding activities
- RBAC and access controls
- Data residency and retention controls
Resolve Ambiguous Documentation Without a Second AI Pass
When a chart can't be coded without provider input, QuickCode runs a structured CDI clarification loop — query into the EHR inbox, answer in-place, deterministic reprocess. Codes finalize with a full audit trail and zero extra AI spend.
CLARIFICATION_REQUIREDStructured query lands in the EHR inbox
When the engine flags ambiguity (unspecified ICD code, modifier 25 question, panel ambiguity like BMP vs CMP), QuickCode sends a structured CDI query — pulled from the templates library — straight to the provider's EHR inbox as a portal task. No new login, no email back-and-forth.
Answer in-placeProvider answers without leaving the chart
Each query specifies an expected answer type (single_choice, multiple_choice, boolean, or text) so the provider can resolve it in seconds — e.g., "Was the diabetes Type 1 or Type 2?" or "Was the wound debridement to skin, fat, muscle, or bone?". The nightly autoEscalateCdiQueries job catches anything past SLA.
REPROCESSINGReprocess with Answers — no fresh AI call
When the answer comes back into the Clarifications tab, the coder clicks Reprocess with Answers. The engine deterministically re-resolves the codes — no fresh AI round-trip, no new token spend. The encounter status moves to COMPLETED_WITH_CLARIFICATIONS with the full conversation in the audit trail.
Status flow
CLARIFICATION_REQUIRED → REPROCESSING → COMPLETED_WITH_CLARIFICATIONS
Every resolved code is annotated "resolved via clarification answer," and the full provider conversation is captured in the audit log — ready for payer scrutiny without manual chart chasing.
QuickCode vs. Manual Coding, Offshore, & Specialized AI Competitors
See how AI medical coding compares to traditional approaches
| Feature | Manual | Offshore | Specialized AI (Fathom, CodaMetrix) | QuickCode |
|---|---|---|---|---|
| Accuracy | Variable (70–85%) | Variable (75–90%) | High (~85–92%) | >90% recall & precision |
| Turnaround | Hours to days | 24–48 hours | Seconds | 1–3 seconds |
| Auditability | Manual notes | Limited visibility | Limited rationale | Full evidence & rationale |
| Cost/Chart | $2–$5 | $1–$3 | Premium tier | $0.50–$1.00 |
| Scalability | Limited by headcount | Time zone delays | Cloud scale | Unlimited scale |
| Denial Reduction | Baseline | Variable | Comparable | 15–25% reduction |
Integrations & APIs (Epic, Cerner, eCW, Athena, HL7/FHIR)
QuickCode is a HIPAA compliant AI medical coding engine with REST APIs and webhooks. Works seamlessly with your existing RCM and billing systems.
REST APIs
Webhooks
EHR Integration
RCM Systems
Billing Platforms
REST API Integration
Simple REST APIs let you send documents and receive codes. Batch processing for high-volume workflows or real-time coding for immediate results.
Webhook Notifications
Get notified when coding is complete. Webhooks push results directly to your system so you can process codes without polling.
Flexible Input Formats
Accepts PDFs, text, structured data, or direct EHR feeds. Works with any document format your practice uses.
Direct RCM Integration
Push codes directly into your billing system, EHR, or RCM platform. Structured output fits your existing workflow.
Need Custom Integration?
Our REST APIs are designed to work with any system. If you need help with a custom integration or have specific requirements, our team can help you get started quickly.
Book 30-min DemoPricing ($0.50–$1.00 per Chart) & Volume Tiers
Simple, transparent, predictable pricing. QuickCode starts at $0.50 per chart, with volume discounts available. No hidden fees, no surprises.
Growth
≤10k charts/month
- Standard SLA
- Email support
- Standard onboarding
Scale
10k–50k charts/month
- Enhanced SLA
- Priority support
- Custom training option
Enterprise
50k+ charts/month
- Premium SLA
- Dedicated CSM
- Full customization
depending on volume and complexity
Volume or Enterprise Needs?
Volume Discounts
Discounted rates for high-volume operations processing thousands of charts per month
Custom Training
Option to train QuickCode on your historical claims data for even greater accuracy aligned with your coding patterns
Try Before You Commit
Start with a pilot (e.g., 5k charts) to prove coding accuracy and throughput improvements.
Expected ROI window: 3–9 months
Clear success metrics: coding accuracy, throughput improvement, reduction in denials, and ROI.
Book 30-min DemoCalculate Your ROI with QuickCode
See projected savings and denial reduction based on your volume
Your Metrics
Projected Savings
Security & Compliance (HIPAA, SOC 2, BAA, Audit Trails)
QuickCode is a HIPAA compliant AI medical coding engine with enterprise-grade security and compliance built into every aspect. All PHI is encrypted in transit and at rest.
HIPAA Compliance
- PHI encrypted in transit (TLS) and at rest (AES-256)
- BAAs signed with covered entities and business associates
- Formal policies, access controls, and staff training around PHI
- Minimum-necessary access principles
SOC 2 Controls
- Security, availability, and confidentiality controls evaluated regularly
- Third-party assessments and penetration testing
- Access management, SSO/MFA (Okta, Azure AD, etc.)
- Change management and audit logging
Data Control
- Configurable retention for documents, codes, and audit logs
- Ability to export or delete data based on your policy
- Option to opt out of using your data for training
- US data residency by default with region control
Access & Audit
- Role-based access control (RBAC)
- Immutable audit logs (who/what/when)
- IP allow-lists and private networking options
- VPC peering for high-security environments
Trust Center
QuickCode maintains comprehensive security documentation, including pen-test summaries, subprocessors, uptime history, and disaster recovery procedures.
See full Security & Compliance page →AI Medical Coding FAQs
Everything you need to know about QuickCode AI Medical Coding, organized by topic
Product Fundamentals
6 questionsQuickCode is a clinical-grade AI engine that converts any medical document or encounter into accurate, audit-ready codes (ICD-10-CM, CPT, HCPCS, DRG, NDC, revenue codes, ICD-10-AM) and returns them to your RCM/EHR.
QuickCode handles provider notes, EHR encounters, discharge/operative reports, dictations, transcripts, PDFs and scanned docs (with OCR), HL7/FHIR messages, and claims feeds.
Complete code sets with rationales, confidence scores, and links to supporting text; optional flags for documentation gaps.
Yes. QuickCode auto-handles high-volume outpatient; for complex inpatient it acts as a co-pilot (e.g., DRG/CC/MCC surfacing) with human review.
Yes—E/M leveling, modifiers, bundling/unbundling checks are enforced via rule libraries and payer configurations.
Yes—many teams start in 'second-pass/QA' mode before moving to pre-coding or selective auto-coding.
Still have questions?
Our team is here to help. Schedule a demo to see QuickCode in action with your sample charts and get answers to your specific questions.
QuickCode Works With the Full QuickIntell Platform
QuickScribe — AI Medical Scribe
AI clinical documentation that feeds directly into QuickCode for seamless note-to-code automation.
QuickRCM — End-to-End AI RCM
Automate the full revenue cycle from coding through claims and payment posting with AI agents.
QuickAuth — Prior Authorization
Automate prior auth calls and benefit verification. Cut authorization phone time by 80%.
QuickERA — Payment Posting
Convert EOBs into 835 ERAs automatically. Streamline the payment posting stage of your revenue cycle.
Ready to Eliminate Your Coding Backlog?
Every hour spent on manual coding is an hour not spent on revenue optimization, complex cases, or strategic RCM initiatives.
QuickCode makes medical coding almost invisible—accurate, compliant, billing-ready codes generated from the documents you already have.
We'll show you exactly how QuickCode fits into your RCM workflow, your billing systems, and your compliance requirements—and how quickly your team can see the difference in throughput and accuracy.