Medical coding, automated.

Medicoder AI reads thousands of lines of clinical documentation and returns accurate, audit-ready medical codes in seconds.

Our Approach

AI for reasoning. Human for trust.

Read

A large language model ingests the full chart, extracts every codable clinical fact, and captures the reasoning chain.

Ground

Candidate codes are retrieved from an indexed corpus.

Verify

Coders review, accept, or correct. Every correction becomes training data.

Inside the pipeline

The pipeline runs. Coders steer.

Reasoning is captured at every step of the pipeline, coders can intervene at any point, and every correction sharpens the next run.

Reasoning

Coders see why a code was picked,not just what was picked, and auditors get the same trail end-to-end.

Course-correct

Drop a keyword the model over-extracted, swap a group, replace or reorder a code. The pipeline re-runs from your edit downward.

Improve

Over time the system fits your hospital's documentation patterns, your case mix, and your coders' preferences.

FAQ

Frequently asked questions

01

What is autonomous AI medical coding?

Autonomous AI medical coding uses AI models to read clinical documentation and produce the ICD-10-CM, ICD-10-PCS, CPT and HCPCS codes a human coder would assign. "Autonomous" means the model proposes the full coded output for an encounter, not just suggestions on individual lines. A human coder still reviews and signs off, but the AI does the reading and lookup work end-to-end.

02

How fast is AI medical coding compared to a human coder?

A human coder typically spends 15 to 30 minutes on a moderately complex inpatient case, longer for high-acuity charts. Medicoder returns a fully proposed coded output in seconds.

03

How does Medicoder handle audits and compliance?

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.

04

Is patient data secure, and is the platform HIPAA / GDPR / PDPA aware?

Medicoder is built privacy-first and aware of the major healthcare-data regimes our customers operate under HIPAA in the U.S., GDPR in the EU, and PDPA in Singapore. Sensitive identifiers (names, MRNs, DOBs, addresses, contact details) are automatically masked before any chart reaches our AI system, and we operate under a strict no-logging principle.

05

Can Medicoder integrate with my EHR or billing platform?

Yes. The platform exposes a coding API that takes a clinical note (or a structured chart payload) and returns the proposed code set with documentation links.