Consistent, compliant coding at scale — with AI that earns its autonomy.
Our AI reads clinical documentation across specialties, evaluates full encounter context, and assigns accurate ICD-10-CM, CPT, and modifier combinations — trained on your charts and your organization’s unique business rules. Complex cases are automatically routed to our certified medical coders, so you get 100% volume coverage with no coding backlog and no fallout staff to maintain. Every coding decision is auditable. Every deployment continuously improves from real payer outcomes.
The shortage of certified medical coders is real and getting worse. Meanwhile, coding volumes are rising, turnaround expectations are tightening, and the cost of hiring and retaining experienced coders keeps climbing. In many organizations, physicians end up doing the coding themselves — a costly misuse of one of your most expensive resources. And while physicians understand clinical care, they’re rarely trained on the latest coding guidelines, payer-specific denial behavior, or evolving compliance requirements. The result is inconsistent code selection, avoidable denials, and revenue left on the table. This is exactly where AI delivers what manual processes can’t: consistency at scale — every chart coded against the same rules, the same payer logic, and the same compliance standards, every time.
Reads and analyzes medical charts across multiple specialties — including cardiology, orthopedics, radiology, general surgery, internal medicine, and more — evaluating clinical context across the full encounter.
Interprets provider intent from clinical documentation to identify relevant diagnoses and procedures.
Proposes appropriate ICD-10-CM, CPT, and modifier combinations based on documentation content and coding rules.
When our AI encounters documentation that doesn't meet its confidence threshold — complex charts, ambiguous encounters, or edge cases requiring specialty expertise — it automatically routes to our certified medical coders. This isn't a fallback. It's the design.
Human expert review on the hard cases, combined with AI handling the volume, delivers 100% volume coverage with no coding backlog — and eliminates the need to maintain your own fallout staff.
Every human decision feeds back into the AI through continuous learning loops, so the share of charts the AI handles autonomously grows over time.
Incorporates AMA-licensed reference data to ensure coding compliance at the highest industry standards.
Applies built-in NCCI edits and payer-specific rules to validate code selections before submission.
Reduces downstream denials by catching compliance issues at the point of coding, not after claim rejection. When ERA data is available, validation rules can be dynamically updated based on actual payer adjudication results.
Provides visibility into AI coding performance — accuracy rates, volume throughput, and exception rates across specialties and payers.
Tracks the percentage of charts coded autonomously versus those routed to human coders for review — giving management a clear measure of AI maturity over time.
Enables data-driven decision-making for coding operations — including where to expand AI scope and where human review is still needed.
Automate routine coding tasks and redirect your certified coders to complex cases that require human judgment — reducing labor costs without sacrificing quality.
Charts are returned with finalized code sets within 12–24 hours — so your billing team is ready to submit the next morning, every morning. No backlogs, no Monday morning catch-up, no dependency on coder availability or PTO.
As volumes grow or spike unexpectedly, the AI scales instantly. Complex cases are routed to our certified medical coders, so you never need to maintain your own fallout staff or scramble to hire during surges. One predictable per-chart price covers both AI and human review.
Consistent, rules-based code assignment across every chart — eliminating the variability and errors that come with manual coding at volume.
Built-in NCCI edits and payer rules catch compliance issues at the point of coding — before claims go out the door.
Every coding decision is logged and auditable. Human oversight is built in at every step — autonomy is earned, not assumed.
Most coding automation tools apply rules to structured data. NDS goes further — our AI understands clinical language, evaluates the full encounter, and improves with every chart processed.
Our models are built on supervised generative techniques and clinical NLP that read and interpret clinical documentation the way an experienced coder does — understanding provider intent, clinical context, and specialty-specific nuance across the full encounter.
When providers share their ERA data, our AI can close the loop between coding and payment outcomes. It analyzes payer-specific denial patterns, identifies the coding behaviors driving rejections, and dynamically updates your coding business rules — with your approval — to prevent those denials from recurring. The result: a continuously improving clean claim rate, driven by real payer adjudication data.
Every payer adjudication, denial, and human coder decision feeds back into our reinforcement learning models. The system continuously refines accuracy based on what actually gets accepted and paid — not just what looks correct on paper.
Our AI is built on 20 years of proprietary clinical datasets spanning dozens of specialties, payer behaviors, and coding patterns. This is a domain-specific AI purpose-built for medical coding — not a generic language model wrapped around coding rules.
Every deployment is trained on your organization's historical charts and your unique business rules. The model learns your specialty mix, your payer requirements, and your coding preferences — so it performs like an extension of your team, not a one-size-fits-all tool.
We expand AI scope based on payer complexity, documentation quality, and your organizational readiness. Confidence thresholds, exception routing, and human review are built into the workflow — the AI earns trust through demonstrated performance, not marketing claims.
NDS Autonomous Medical Coding is designed for healthcare organizations facing coder shortages, rising costs, or inconsistency in high-volume coding environments — where manual processes create risk to revenue, compliance, and turnaround.
Multi-specialty physician groups and large practices
Standalone hospitals and hospital-based HIM operations
Hospital groups and Integrated Delivery Networks (IDNs)
RCM companies managing coding at scale across multiple clients
Organizations looking to reduce dependency on outsourced coding teams
Share your sample charts and your organization’s business rules, and we’ll return a full coding test on your real data — showing accuracy rates, exception rates, and final code sets side-by-side with your current coding. No implementation fees. No commitment. Just proof.
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