Clinical Documentation & Coding Intelligence
Medical Copilot turns ambient encounter evidence into reviewer-controlled clarification, suggested diagnosis outcomes, CPT/HCPCS coding support, and claim-ready handoff.
From Clinical Context to Claim-Ready Documentation
A guided CDI-to-coding workflow: Medical Copilot reviews encounter context, asks clarification queries when evidence is incomplete, writes only approved documentation, and then supports suggested ICD diagnosis, CPT/HCPCS procedure coding, and claim-ready review.
Start with the encounter evidence already in the EHR.
Medical Copilot reviews structured and free-text documentation before recommending any action. The workflow begins with clinical context, orders, services, and key findings.
Patient presents with right upper-quadrant abdominal pain, nausea, vomiting, and postprandial onset. IV fluids, analgesic therapy, antibiotics, and limited abdominal ultrasound ordered.
When evidence is incomplete, the system opens a CDI gap.
The agent does not assume the answer. It identifies the missing clinical support and prepares the case for clarification before any documentation or coding update is made.
Dehydration is referenced, but objective support is incomplete.
- Missing objective findings such as tachycardia, dry mucous membranes, orthostasis, labs, or clinician clarification.
- IV fluid administration is documented, but diagnosis support requires confirmation.
Ask the right CDI question with controlled response options.
Radio-button queries keep the clinician, CDI reviewer, or coder in control. The system can ask, but the user confirms what is clinically supportable.
Can dehydration be clinically supported for this encounter?
Accepted CDI responses become a suggested diagnosis and approved note update.
After the reviewer agrees, Medical Copilot surfaces the documentation outcome as a suggested diagnosis, then writes only the approved clarification into the documentation workflow.
Dehydration clinically supported by assessment and treatment with IV fluids. Supporting findings confirmed by reviewer and added to encounter documentation.
Free-text procedures become reviewable CPT/HCPCS suggestions.
After documentation context is confirmed, the system reads EHR narrative, orders, and service descriptions to suggest procedure codes with source text and review status.
Deliver a review package that is supportable and auditable.
The final output combines documentation, CDI query trail, procedure-code suggestions, medical-necessity checks, and audit context for the billing, coding, CDI, or compliance team.
Clinical Documentation & Coding Intelligence at Every Critical Checkpoint
AI-powered support from encounter capture through coding review and claim-ready handoff — not only after submission.
Five Connected Agents, One Documentation-to-Coding Workflow
Each capability preserves reviewer control while moving evidence from documentation to diagnosis, procedure coding, and claim-ready handoff.
Suggested Diagnosis Agent
Turns accepted CDI responses into suggested ICD diagnosis outcomes with rationale, source evidence, and reviewer status.
- ICD-10 diagnosis suggestions
- Accepted-query derivation
- Source-linked rationale
- Reviewer-ready handoff
Procedure Coding Agent
Reads encounter narrative, orders, and service descriptions to suggest reviewable CPT/HCPCS procedure codes with source support.
- CPT/HCPCS suggestions
- Procedure text extraction
- Diagnosis-procedure alignment
- Coder review status
CDI Query Agent
Detects documentation gaps and prepares controlled clarification queries before unsupported diagnoses or coding changes are made.
- CDI gap detection
- Controlled query options
- Approved note updates
- Audit trail generation
Ambient Documentation Agent
Transforms conversations and encounter context into structured clinical notes that feed CDI and coding review.
- Real-time voice capture
- SOAP context generation
- Key finding extraction
- Documentation-ready evidence
Six Steps From Clinical Note to Claim-Ready Handoff
Reviewer-controlled support from ambient encounter evidence through CDI clarification, suggested diagnosis, procedure coding, and final review.
Capture Context
Reads ambient notes, encounter summaries, orders, services, and clinical findings.
Detect CDI Gaps
Identifies missing support before documentation or coding updates are made.
Ask CDI Query
Prepares controlled clarification questions so reviewers confirm what is clinically supportable.
Suggest Dx
Converts accepted CDI responses into suggested ICD diagnosis outcomes with source rationale.
Suggest PX Codes
Suggests reviewable CPT/HCPCS procedure codes from orders and service descriptions.
Handoff Claim-Ready
Packages documentation, CDI query trail, coding rationale, and reviewer decisions for billing and audit 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 — no bottlenecks.
HIS / RCM API Integration
Connects to your existing EHR and RCM systems without replacement or complex migration. Live in 2–4 weeks.
Audit Logs & Traceability
Full decision trail for every AI recommendation ensures compliance, trust, and appeal readiness.
Proprietary AI Models
Purpose-built decision logic trained specifically on medical coding data — not a generic LLM.
Custom Coding Guidelines
Create, edit, and publish your own payer and protocol rules so the AI always reflects your clinical context.
Ready to modernize clinical documentation and coding review?
Start with a focused Clinical Documentation & Coding Intelligence pilot using sample encounters, reviewer workflows, and claim-ready handoff outputs.
Book a Demo →