A Coder and a Scribe Next to Every Physician
Medical Copilot reads the chart, asks the physician when documentation falls short, writes the answers into the note, and codes the encounter with evidence behind every code.
Runs Inside Your EHR
Physicians launch it from the Progress Note, and confirmed documentation, diagnoses, and codes are written back to the chart.
Read our announcement: Medical Copilot is live inside eClinicalWorks. eClinicalWorks® is a registered trademark of eClinicalWorks, LLC. athenahealth® is a registered trademark of athenahealth, Inc.
From Clinical Context to Claim-Ready Documentation
Follow one heart failure encounter: Medical Copilot reads the chart, finds a documentation gap, asks the physician a question, writes the answer into the note, and codes the diagnosis, services, and E/M level.
Start with the encounter evidence already in the EHR.
Medical Copilot reads the notes, labs, orders, and services together before recommending any action.
Established patient with known heart failure returns with three days of worsening dyspnea on exertion, orthopnea, and 3 kg weight gain. Exam notes bibasilar crackles and trace pedal edema. A prior echocardiogram on file shows reduced ejection fraction (EF 30%). Assessment: CHF. Increase diuretic; repeat echocardiogram, chest X-ray, and BNP ordered.
When evidence is incomplete, ask a clarification question.
It prepares the query with the answer options ready to click, and nothing is updated until the reviewer confirms.
Heart failure is documented as “CHF” only. The type and acuity are not stated, and the reduced ejection fraction on file is not linked to a specific diagnosis.
Based on the worsening symptoms and documented ejection fraction of 30%, how should the heart failure be specified?
The answer becomes a suggested diagnosis and an approved note update.
After the reviewer agrees, the approved answer goes into the note and the diagnosis becomes specific.
Heart failure characterized as acute on chronic systolic (HFrEF) based on worsening dyspnea, weight gain, and reduced ejection fraction (EF 30%). Confirmed by provider and added to the encounter note.
Query DG-0431 · Reviewer confirmed · Suggested diagnosis I50.23 · HCC captured
Free-text services become reviewable CPT/HCPCS suggestions.
Orders and service descriptions become CPT/HCPCS suggestions, each with its source text and review status.
Suggest a supported evaluation and management level.
The documented facts are scored under the MDM rules, so the coder confirms rather than calculates.
- Problems addressed: chronic illness with acute exacerbation.
- Data reviewed: chest X-ray, echocardiogram, and BNP.
- Risk: prescription drug management (diuretic titration).
Deliver a review package that is supportable and auditable.
Everything is packaged for the billing team, with the audit trail attached.
- Clean note with the approved clarification merged.
- Clarification query trail and reviewer decisions.
- CPT/HCPCS suggestions and E/M level.
- HCC capture and medical-necessity checks.
- Audit log and reviewer handoff.
Medical Copilot Scribe
Ambient documentation that turns the visit conversation into a complete Progress Note. Available as a standalone module, or as the front door to gap analysis and coding.
Hands-Free Capture
The physician speaks with the patient or dictates between visits; the note is written with no typing and no separate dictation system.
A Complete Note, Not a Transcript
The conversation becomes a structured clinical note with the key findings extracted, ready for physician review in the chart.
Feeds the Same Engine
Every voice-captured note flows straight into the same gap analysis and coding.
Four Connected Agents, One Documentation-to-Coding Workflow
Each one keeps the reviewer in control.
Suggested Diagnosis Agent
Turns confirmed query answers into suggested ICD-10 diagnoses with rationale and source evidence.
Services Coding Agent
Reads orders and service descriptions to suggest reviewable CPT/HCPCS codes, each aligned to its supporting diagnosis.
Documentation Gap Agent
Detects documentation gaps and prepares clarification queries before any unsupported diagnosis or coding change is made.
Ambient Documentation Agent
Turns the visit conversation into a structured clinical note that feeds gap analysis and coding review.
Built for Enterprise-Grade Healthcare Operations
The infrastructure your revenue cycle team can trust at scale.
Payer-Specific Logic
Custom rules per payer, updated continuously to match changing policies and coverage guidelines.
Real-Time & Bulk Processing
Handles single encounters instantly and massive batch claim runs efficiently.
HIS / RCM API Integration
Live inside eClinicalWorks today — eCW practices can go live in one day. Connects to other EHR and RCM systems via API, with athenahealth coming soon.
Custom Coding Guidelines
Create, edit, and publish your own payer and protocol rules so the AI always reflects your clinical context.