Clinical understanding
Custom models trained on large corpora of human biology, anatomy, and clinical language read the note as a clinician would. Specialists fine-tune them for this task, not a general chatbot pointed at a chart.
Your AI Medical Coding Assistant that reads clinical charts and returns accurate, audit-ready codes in seconds. Works seamlessly with coders. Supports 8 coding standards across 22 countries, with more launching next.
Free to try — no credit card needed.
Every case takes 15–30 min. Coders dig through pages and pages of medical notes, admission, operative, etc, while backlogs keep growing. How can we help?
Coding accuracy sits between lost reimbursement and fraud risk. Sampling based audits let most cases slip through. How can we help?
Retrospectively audit all cases to flag anomalies, miscoding, and mismatches. Flagged cases are routed to a senior coder or supervisor for review.
Summarizes the case, highlights the key evidence, and generates clinical codes. Flags if insufficient information detected.
Annual global healthcare spend, all routed via coded claims.
Medical coders worldwide, and every hospital is short-staffed.
A coder spends on a single inpatient case, today.
Every clinical note runs through the same proprietary pipeline across the various coding systems and standards. The architecture is bounded and deterministic, with proprietary large language models (LLMs) fine-tuned to these very specific tasks doing the reasoning and an indexed code corpus doing the grounding. No runaway agent loops, no surprise bills, no stochastic latency tails.
Custom models trained on large corpora of human biology, anatomy, and clinical language read the note as a clinician would. Specialists fine-tune them for this task, not a general chatbot pointed at a chart.
An indexed corpus of the coding systems and standards in use constrains every proposal. Proprietary LLMs do the reasoning; the corpus does the grounding. Codes are retrieved and justified, never invented from memory.
Human medical coders train the system through reinforcement learning, and clinical specialists fine-tune the last mile. The output is sequenced, bounded, and reviewable with each code tied back to the chart that justified it.
The AI proposes, humans verify. Reasoning is captured at every layer of the pipeline, coders can intervene at any step, and every correction sharpens the next run.
Every proposed code carries the model's reasoning alongside it. Coders see why it was picked, not just what was picked — auditors get the same trail end-to-end.
Edit at any layer
Drop, swap, or reorder a proposed code. The system re-runs from your edit, coders stay in the seat where their judgment matters, without starting over from the chart.
Accepted, rejected, and revised codes accumulate as training signal. Over time the system fits your hospital's documentation patterns, your case mix, and your coders' preferences — and the loop tightens with every claim.
Coverage spans 8 coding standards across 22 countries. ICD-10-CM and ICD-10-PCS are live in the app; CPT, HCPCS, ICD-10-AM, ACHI, NHS ICD-10, and SNOMED CT are coming soon. Each book has its own grammar, sequencing rules, and update cycle — the same review surface is designed to return diagnoses, procedures, and supplies in a single sequenced output.
~75,000
codes indexed
Diagnosis codes used on every U.S. claim, what is wrong with the patient, with full specificity for laterality, episode, and severity. Maintained by CDC/NCHS.
~79,000
codes indexed
Inpatient procedure codes built from a 7-character grammar (section, body system, root operation, body part, approach, device, qualifier). Maintained by CMS.
~19,000
codes indexed
Diagnosis classification used with Australian Coding Standards (ACS) across editions in Australia, New Zealand, Singapore, and the rest of the 21-country AM cohort.
6,000+
codes indexed
Procedure classification paired with ICD-10-AM. Covers interventions across the same AM countries and editions.
~10,000
codes indexed
Outpatient and physician procedure codes for evaluation & management, surgery, radiology, pathology and medicine. Maintained by the AMA.
~7,500
codes indexed
Codes for durable medical equipment, prosthetics, supplies, drugs and ambulance services not covered by CPT. Maintained by CMS.
~360,000
codes indexed
Comprehensive clinical terminology used alongside national ICD systems in the U.S., UK, Nordics, Spain, Switzerland, and Denmark. Coming to the same review surface.
~18,000
codes indexed
NHS ICD-10 diagnosis classification used across England, Wales, Scotland, and Northern Ireland. In beta on the availability map.
Our platform is built privacy-first. Sensitive identifiers are masked before anything reaches our AI system, prompts and outputs are never logged, and the platform is designed to respect the privacy regimes that govern healthcare data in every region we serve.
Sensitive identifiers, i.e. names, MRNs, dates of birth, addresses, contact details are automatically detected and masked before any chart reaches our AI system.
Prompts and outputs are not logged, not retained, and never used to train shared models. What flows through the pipeline leaves no residue on our side.
Designed around the major healthcare-data regimes our customers operate under: the U.S. Health Insurance Portability and Accountability Act (HIPAA), the EU's General Data Protection Regulation (GDPR), and Singapore's Personal Data Protection Act (PDPA).
Coders sit at the choke point of every U.S. & Global healthcare dollar. MedicalCode AI slots into the workflows where that bottleneck is most acute, inpatient facility coding, outpatient physician practices, third-party billing, and value-based-care risk adjustment.
Inpatient DRG coding on complex case-mix charts. Reduce DNFC days, shorten the discharge-to-bill cycle, and free senior coders for the cases that actually need them.
High-volume CPT and E/M coding (coming soon) across primary care, surgery, and specialty practices. Consistent code selection, level-of-service support, and modifier reasoning on every encounter.
Multi-client throughput for revenue-cycle and billing services. Plug AI coding into your existing workflow, scale headcount-bound contracts, and improve clean-claim rates without growing the coder bench.
Medicare Advantage, ACA marketplace, and ACO programs. Surface every chronic condition the chart supports, with documentation links a CMS auditor can follow.
MedicalCode AI covers the major inpatient and outpatient coding systems used worldwide across 22 countries today. For the full country-by-country and per-system readiness view, see our Availability page.
Yes. The solution natively supports EHR like Epic Systems, Oracle Health, and InterSystems. We also support coding API that takes a clinical note and returns the proposed code set.
MedicalCode AI is built privacy-first and we are compliant with the major healthcare-data regimes, i.e. HIPAA in the U.S., GDPR in the EU, and PDPA in Singapore.
Every code in the output is tied back to the exact span of the chart that justified it, plus the reasoning chain the model used to pick that code over its siblings.
A human coder typically spends 15 to 30 minutes on a moderately complex inpatient case. MedicalCode AI returns a fully proposed coded output in seconds.
Paste any de-identified note. Watch our pipeline read, ground, and propose audit-ready ICD-10 codes with the reasoning chain visible at every step.
Free to try — no credit card needed.