Autonomous Medical Coding Solutions
LexiCode delivers autonomous medical coding for outpatient specialties, powered by AI, machine learning, and NLP. High-confidence encounters are coded and cleared automatically. Everything else routes to a certified coder, keeping accuracy high without creating bottlenecks.
GDPR Compliant · HIPAA Compliant · SOC 2 Compliant
Manual Coding Cannot Keep Pace With Volume, Complexity, or Margin Pressure.
Slash administrative overhead
Automate high-volume, low-variance encounters and redirect coder time to complex cases that require judgment.
Minimize Coding Disputes
Consistent, rules-aligned code assignment reduces variance across coders, cutting rework and payer pushback before it starts.
Enable Real-Time Billing
High-confidence encounters move directly to billing without a manual touch, compressing the gap between encounter and clean claim.
Adapt to Regulatory Shifts
Coding logic is updated in line with CMS, AMA, and payer changes so compliance does not fall behind when guidelines change.
Reduce Days Sales Outstanding
Faster, cleaner claims shorten the revenue cycle and make cash flow more predictable across billing periods.
Empower Data-Driven Insight
Every coded chart becomes structured data, surfacing denial trends, productivity patterns, and forecasting inputs in real time.
The Autonomous Coding Engine
Our autonomous coding engine extracts clinical data from every record, predicts and applies the right codes, validates them against the rules that matter, and connects directly with your billing workflow. The result? 50%+ Faster Turnaround Time.
- Predicts E/M levels, CPT, ICD-10-CM, and HCPCS codes with modifiers and units
- Applies LCD and NCCI edit logic during code prediction
- Uses NLP to interpret both structured and unstructured clinical documentation
- Continuously improves through validated coder feedback and machine learning
- Integrates via API, HL7, FHIR, Batch, OCR, SFTP, and DB Extract
- Reads the full clinical record including handwritten notes via integrated OCR
Why Our Autonomous Medical Coding Solution Stands Out
01: No-Touch Billing Across Confirmed Specialties
High-confidence encounters in Radiology, Anesthesia, and Surgery are coded and cleared without manual intervention. No coder needs to open the chart.
02: Human Judgment Exactly Where It Is Needed
Low-confidence encounters route automatically to a certified coder. The platform drives the process and engages human input only when confidence does not meet threshold.
03: Expertise That Compounds Over Time
Every encounter reviewed and corrected by a coder feeds validated feedback back into the AI model. Autocoding rates and accuracy improve continuously as volume grows.
04: NLP That Reads the Full Record
The engine reads the complete clinical record including unstructured notes and handwritten documentation, not just structured fields or data points.
Measurable Impact Across the Revenue Cycle
60%+ Autonomous coding rate as the model matures
95% Autonomous coding accuracy
50%+ Reduction in coder TAT per encounter
50%+ Increase in coder productivity
Fewer denials through consistent, rules-aligned code assignment
Faster cash flow through direct-to-bill encounter processing
From Chart to Clean Claim: A Dependable, Auditable Path on Every Encounter.
Step
1
Ingest and Interpret
NLP reads structured and unstructured documentation including handwritten notes to build the full clinical picture before any code is assigned.
Step
2
Autonomous Code Assignment
The autonomous coding engine predicts and applies E/M, CPT, ICD-10-CM, and HCPCS codes with modifiers and units. A confidence score is calculated for every encounter.
Step
3
Edit Validation
Codes are checked against LCD, NCCI, and payer rules so every claim is submission-ready before it moves forward.
Step
4
Coder in the Loop
Certified coders review encounters the engine routes for human judgment. Every correction feeds back into the model as validated learning for future encounters.
Step
5
Report and Learn
Live dashboards surface autocoding rates, productivity trends, and denial patterns. The engine keeps improving from every coder decision made in the system.
Frequently asked
Autonomous coding, answered
What is autonomous medical coding?
Which code sets and edits does the platform support?
It predicts E/M levels, CPT, ICD-10-CM, and HCPCS codes along with relevant modifiers and units, and applies LCD and NCCI edit logic during prediction to keep claims compliant.
Does automation replace certified coders?
How does the platform maintain accuracy and compliance?
Is patient data safe?
How do we get started?
Request a demo. We will assess your specialties, volumes, and workflow, then recommend the right autonomous coding configuration for your organization.
Case Study
See how LexiCode’s coding expertise, consulting strength, and AI-powered analytics have helped healthcare leaders build smarter, more resilient HIM operations.
Case Study: Ambulatory Surgical Center Network
65% More Coding Capacity. $800K in Headcount Savings.
A network of ambulatory surgical centers facing rising claim volumes and manual coding constraints deployed the autonomous coding solution to automate encounter processing across specialties. The platform reduced per-encounter coder time, expanded overall coding capacity, and continued improving as the AI model learned throughout the engagement.
Results:
- 50%: Reduction in average coder TAT per encounter
- 65%: Increase in coding capacity
- $800K: Net headcount savings
- 400%: AI capability growth over 12 months
Get started
See What Autonomous Medical Coding Solutions Can Do for Your Outpatient Operations
Whether you are looking to reduce manual coding volume, improve turnaround time, or scale capacity without adding headcount, our autonomous medical coding solutions show you exactly how the platform performs across your specialties and workflows.