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Prospective Engine

Capture HCCs at Point of Carewithout Slowing Clinicians

Pre-visit and in-visit recommendations that are evidence linked and MEAT-aware, so providers can act quickly, coding stays defensible, and plans improve accuracy.

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Why Martlet AI?

Proven technology that delivers measurable results at enterprise scale

Workflow-first suggestions

Built for clinic reality: concise, actionable, and fast to validate.

Evidence-linked + MEAT-aware

Clear “why” and documentation signals to reduce noise and risk.

Deployed inside your environment

Cloud/VPC/on-prem options so PHI stays under your control.

Outcomes

Built for Trust and Accuracy

Martlet AI is designed for environments where compliance, precision and transparency are non-negotiable.

  • More accurate capture

    Surface supported risk gaps early, when clinicians can still document and address them.

  • Less back-and-forth

    Reduce CDI queries by providing specific cues for what to document and where it matters.

  • Cleaner submissions

    MEAT-aware guardrails help avoid unsupported coding and improve downstream audit posture.

  • Faster workflows

    Evidence-linked recommendations are linked to exact documents, reducing chart hunting.

Built for point-of-care speed

Short, prioritized suggestions designed for pre-visit planning and in-visit workflows.

Integrates with your systems

Deliver recommendations where your teams work (EHR workflows, queues, exports).

How it works

One Simple Flow for Prospective Coding

Plan the visit → document with confidence → close gaps before they hit retrospective

Pre-visit gap detection

Start with a tight, prioritized set of risk gaps per member.

  • Identify likely supported conditions based on available documentation
  • Prioritize by expected impact and documentation strength
  • Route work to the right clinic, provider, or team

Point-of-care suggestions

Make it easy to act: concise, evidence-linked, and MEAT-aware.

  • Show "what to document" cues (assessment, plan, monitoring, etc.)
  • Include provenance so clinicians can validate quickly
  • Guardrails to reduce unsupported coding and noise

Close the loop

Turn actions into measurable outcomes and downstream readiness.

  • Export outcomes for QA, analytics, and downstream submissions
  • Track adoption, lift, and where documentation breaks down
  • Improve future suggestions with your feedback and standards
Outputs

What care teams get in one view

Everything needed to act without forcing people to dig through charts.

  • Visit Prep Summary

    Prioritized gaps, documentation cues, and routing signals.

  • Suggestion Card

    Condition + evidence snippets + MEAT signals + recommended next action.

  • Workflow Export

    Structured output for queues, QA, and integration pipelines.

Designed for trust

High signal, low noise, so clinicians don't tune it out

Prospective success is adoption. Adoption requires precision, brevity, and defensibility.

MEAT-aware recommendations
Not just "problem list only"—our system ensures every recommendation is supported by documented Monitoring, Evaluation, Assessment, or Treatment evidence.
Evidence provenance
Complete note/date/source traceability for every recommendation, enabling clinicians to validate quickly and confidently.
Prioritization + thresholds
Fit your standards and risk tolerance with customizable prioritization and confidence thresholds.
Deployment control
Deploy on cloud, VPC, or on-premises—PHI stays under your control with flexible deployment options.
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Get Started

Make prospective coding a clinician-friendly pipeline

Improve capture and accuracy at point of care - while keeping outputs defensible and easy to validate.

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