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TuriyaRCM module

TuriyaCode — AI-Assisted Medical Coding

Certified coders should spend their time on the charts that require judgment, not on routine ones a model can handle. TuriyaCode is the AI-assisted coding module built into TuriyaRCM — it autonomously codes high-confidence encounters, routes the rest to your coders, and learns from every correction so accuracy compounds over time.

Capabilities

What this service covers

Automation engine

  • Autonomous ICD-10-CM and ICD-10-PCS code suggestion
  • CPT, HCPCS Level II and modifier assignment
  • NLP-based clinical document extraction
  • DRG assignment and validation
  • E/M level determination
  • HCC / risk adjustment capture

Coder-in-the-loop controls

  • Confidence-threshold routing to certified coders
  • Coder validation queue for low-confidence charts
  • Correction capture that retrains the model
  • Payer-specific edit and rule application
  • Explainable code rationale for every suggestion
  • Full audit trail for compliance review

How we work

A quality process, not just added headcount

  1. Step 1

    Integration and configuration

    We connect TuriyaCode to your EHR, encoder and billing systems, then calibrate code sets, specialty rules and payer edits to your environment.

  2. Step 2

    Autonomous coding

    The engine codes high-confidence encounters end-to-end, applying your coding guidelines and payer-specific edits in real time.

  3. Step 3

    Coder validation

    Charts below the confidence threshold — and all high-risk code families — route to certified coders for review and finalization.

  4. Step 4

    Continuous learning

    Every coder correction is captured and fed back into the model, so accuracy and autonomous throughput improve month over month.

Outcomes

Benefits our clients measure

Every engagement is tied to reported metrics your finance and HIM leadership already track.

  • Faster coding turnaround on routine encounters
  • Certified coders focused on complex, high-value cases
  • Consistent code application across coders and sites
  • Lower cost per chart without lowering accuracy
  • Explainable, auditable code rationale for every claim
  • Autonomous throughput that grows as the model learns

Request a TuriyaCode Demo

Tell us where the leakage or backlog is today. We will come back with a scoped approach and the metrics we would commit to.

Request a Consultation