Make Coding Faster Without Turning It Into a Black Box
Drive operational efficiency and financial performance with automated, accurate, and scalable eligibility verification.
Accelerate Clinical Coding
Extract relevant clinical information and surface coding candidates from clinical notes so coders spend less time searching through documentation and more time adjudicating the output.
Improve Coding Consistency
Apply the same governed coding workflow across encounters, with deterministic routing and validation instead of relying solely on model judgment.
Make Every Code Defensible
Connect each code to its supporting evidence, provenance, validation status, and decision history to create a traceable coding record.
Reduce Invalid Code Risk
Prevent category headers, non-billable codes, retired codes, and codes unsupported by the documentation from silently progressing toward billing.
Turn Coder Review Into Structured Intelligence
Capture accept, modify, reject, and missed-code decisions using a governed reason taxonomy. Those structured corrections can feed retrieval and calibration for your case mix.
Build Audit Readiness Into the Workflow
Maintain a timestamped decision history containing coding candidates, evidence spans, overrides, validation, and human actions for every encounter.
Features Designed for Governed AI Clinical Coding
Go beyond basic AI coding with a governed workflow that combines clinical intelligence, deterministic validation, transparent reasoning, and human oversight to deliver accurate, defensible coding decisions.
Official Code Set Coverage
Access the current official medical and dental code sets instead of relying on a limited or curated coding database.
- ICD-10-CM FY2026
- HCPCS Level II
- CPT 2026
- CDT
- SNOMED → ICD-10-CM mapping
Clinical Context Understanding
Go beyond keyword matching to understand the clinical context that determines whether a condition should actually be coded.
- Identify clinical entities and diagnosis
- Understand negation and uncertainty
- Consider subject, laterality, and acuity
- Support clinical rationale and E/M reasoning
Deterministic Code Validation
Every coding candidate passes through validation rules before it can move forward, helping prevent invalid or non-billable codes from reaching billing.
- Verify that codes exist
- Check billability
- Validate code hierarchy
- Check effective dates
- Drill down to specific billable codes when required
AI-Powered Code Verification
Challenge coding suggestions before they reach the final review stage. The verifier looks for contradictions and unsupported coding decisions rather than simply accepting the first result.
- Detect conflicting codes
- Identify unsupported complications
- Flag unsupported specificity or laterality
- Withdraw, demote, flag, or re-code candidates
Evidence-Based Coding
Give coders the context they need to validate every recommendation. Each code is connected to the clinical evidence and reasoning behind the suggestion.
- View the supporting evidence span
- Review coding rationale
- See candidates considered
- Trace validation outcomes
Confidence Based on Evidence
Understand where a code came from instead of relying on an unexplained confidence score. Confidence reflects the strength of the evidence, retrieval, validation, and verification behind each coding decision.
- Retrieval agreement
- Deterministic crosswalk results
- Verifier confirmation
- Corrections and hierarchy drills
- Flags and derived information
Human-in-the-Loop Finalization
Keep your coding team in control of every encounter. AI accelerates coding; your coders make the final adjudication.
- Accept passing codes
- Modify suggested codes
- Reject unsupported codes
- Add missed codes from the catalogue
- Capture a structured reason for every decision
Audit-Ready Decision Trails
Create a complete, traceable record of how each coding decision was reached, reviewed, and finalized.
- Timestamped coding activity
- Candidates considered
- Evidence for each code
- Validation results
- Override and rejection reasons
- Human finalization history
Continuous Coding Improvement
Turn coder corrections into structured intelligence that can improve retrieval and calibration for your organization’s specific case mix.
- Capture coder corrections
- Standardize review reasons
- Identify recurring coding issues
- Feed structured feedback into retrieval and calibration
Add AI Coding Without Replacing Your Existing RCM Stack
The AI Clinical Coder integrates with the systems your coding and billing teams already rely on, helping you add governed AI coding without disrupting existing workflows.
EHR Integration
Connect with your EHR to access the clinical information needed for accurate coding.
- Epic FHIR R4 support
- Clinical notes
- Free-text or FHIR clinical data
- Encounter context
- Patient context
Practice Management SoftwareIntegration
Supports existing billing and scheduling workflows with structured coding outputs and review information.
- ICD-10-CM codes
- CPT codes
- HCPCS codes
- CDT codes
- Routing status
- Override reasons
Ambient Scribe Integration
Ambient Scribe Integration
Use ambient scribe transcripts as coding inputs, with evidence and reasoning linked to the resulting recommendations.
- Ambient scribe transcripts
- Evidence spans
- Coding rationale
- Supporting clinical context
Custom Platform Integration
Connect with in-house healthcare and RCM applications through flexible inputs and outputs.
- Clinical data ingestion
- Structured code outputs
- Evidence and reasoning
- Routing and review status
- Override and finalization details
Beyond Off-the-Shelf AI Coding Software
Combine clinical intelligence, validation, transparent reasoning, and human oversight for accurate, defensible coding decisions.
What Makes Unthinkable's AI Clinical Coder Different?
Our AI Coder Software is Built Around the Question: What is AI Actually Allowed to Decide?
The module separates clinical understanding from code authority. The LLM handles the parts where language understanding matters, extracting clinical concepts, interpreting context, and proposing candidates.
Deterministic components handle the parts that require controlled execution—retrieval, crosswalks, validation, hierarchy, and gating.
And your coding team handles the final adjudication.
This creates a coding workflow where AI accelerates the work without turning the billing process into an uncontrolled black box.
Recommended Readings
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Frequently Asked Questions
- What is AI clinical coder?
- What code sets does the software support?
- Can the system explain why a code was selected?
- How does the system prevent invalid codes?
- Can it integrate with our existing EHR?
- How does the system prevent invalid codes?
