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CADMedic.AI · In internal testing

AI that understands the operation.

Generative AI, statistical learning, predictive analytics, and constraint-based optimization work across the transport lifecycle - while your clinicians, billers, and dispatchers stay in control.

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Generative AI

Chart and billing review

Statistical learning

Turnaround predictions

Optimization

Units, routes, economics

Human control

People make every decision

One connected intelligence layer, grounded in the agency's own operational record.
Operational intelligence

Useful AI, applied where the work happens.

CADMedic.AI does not add a chatbot beside the operation. Intelligence is built into chart review, revenue capture, availability forecasting, routing, matching, and field capture.

AI-assisted chart quality

Review ePCR documentation for missing information, internal inconsistencies, and billing-readiness gaps after deterministic rules run. Findings stay evidence-linked and human-reviewed.

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AI-assisted revenue capture

Compare the crew narrative with structured billing data to surface documented care that may not have reached the charge record. Billers verify every suggestion before anything moves forward.

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Agency-learning predictions

Learn loading, transfer, and recovery patterns from the agency's own history, then combine them with routed drive time to forecast when a unit should become available.

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Constraint-based optimization

Evaluate routes and units against clinical capability, required equipment, location, time windows, shifts, overtime exposure, operating cost, and expected revenue.

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Intelligent identity matching

Use probabilistic patient matching and fuzzy duplicate-call detection to resolve strong matches while sending uncertain cases to people for review.

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Vision-assisted field capture

Use on-device document-boundary detection, perspective correction, and camera barcode recognition to reduce friction around paperwork, medications, and field inventory.

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Rules first. AI second.

A hybrid system built for accountable decisions.

Known requirements should be dependable. Ambiguous context deserves careful review. CADMedic combines both, keeps evidence visible, and leaves the final action with the person responsible.

Rules establish the known requirements

Versioned validation handles clear clinical and billing checks consistently.

AI examines the ambiguous details

Model-assisted review focuses on context that rigid field checks can miss.

Evidence stays attached

Findings carry field references, supporting context, confidence, and source.

People make the decision

Crews, billers, and dispatchers can review, dismiss, edit, or act on recommendations.

Intelligence without surrendering control.

EMS decisions carry clinical, operational, financial, and privacy consequences. CADMedic.AI is designed to make the evidence easier to see - not to make people disappear from the process.

  • Advisory recommendations, never autonomous clinical care
  • No automatic unit assignment, coding, claim submission, or payment decision
  • Pinned model configuration and structured output for chart review
  • Minimum-necessary data projections for AI workflows
  • Audited model usage and human review outcomes
  • Designed for PHI-sensitive EMS workflows, with HIPAA requirements in mind
Built and in internal testing

Interested in CADMedic?

CADMedic is built and in internal testing. I'm open to the right EMS agency or software company taking it further, whether that's piloting it, adopting it, or bringing it in-house.

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