Built for coder workflows
Templates for intake, query, appeal, audit, and batch review
Prompts organized by single-case and batch use
For coding teams & HIM leaders
Turn clinical notes and claim details into clear ICD-10/CPT proposals, documented rationales, and compliant appeal or query drafts — all with links to the exact note text or policy line that supported each decision.
Built for coder workflows
Templates for intake, query, appeal, audit, and batch review
Prompts organized by single-case and batch use
Source traceability
Sentence- and policy-level citations
Each suggestion links back to the clinical text or payer rule that informed it
Reviewer controls
Role-based review & rationale locking
Separate reviewer and auditor checkpoints for final sign-off
Prompt clusters
Prebuilt prompts map to real coding tasks so coders spend less time deciding what to ask the model and more time reviewing outputs. Each prompt returns a structured output you can review, edit, and export.
Paste a clinical note or paste note snippets. Receive proposed ICD-10-CM and CPT codes with a one-line rationale per code and a citation to the exact sentence or paragraph that supports it.
Compare your original code set to suggested codes and get a reviewer-ready rationale list that cites note text and relevant guideline language.
From remittance details and clinical notes, draft a concise appeal letter that prioritizes medical necessity arguments and lists exact excerpts to attach.
Traceable reasoning
Every suggested code or rationale is paired with the specific source text or policy line that informed it. Outputs mark whether the recommendation is supported by clinical documentation, a guideline excerpt, or a payer rule, so reviewers can verify decisions quickly.
Reviewer controls
Assign outputs to coders, leads, or auditors. Reviewers can add context, edit rationales, lock final decisions, and export a human-reviewed suggestion file for encoders or external audits.
Reduce payer denials
Apply payer-specific rules or local code-set exceptions to recalibrate suggestions. When you paste a payer rule list, the assistant flags conflicts and explains why a suggested code may be rejected under those rules.
Scale coder throughput
Process multiple encounters at once with batch prompts that map encounter ID to suggested codes, primary supporting excerpt, and recommended action (approve/requery). Export reviewer-approved batches in common formats for downstream systems.
Compliance-ready workflows
The assistant supports redaction and de-identification workflows so teams can remove direct identifiers before using notes for QA, training, or external review. Guidance is provided for HIPAA-compliant handling and when to keep full documentation for audit purposes.
On-the-job training
Turn ambiguous cases into short explainers that help coders learn rules without replacing clinical judgment. Explanations compare nearby code choices and highlight common pitfalls and payer sensitivities.
Treat AI outputs as reviewer-ready suggestions, not finalized codes. Verify: 1) that the supporting excerpt actually contains the clinical language claimed, 2) that the suggested code aligns with ICD-10/CPT descriptors and chapter conventions, 3) for inpatient cases, confirm DRG/POA implications, and 4) apply any local payer rules. Use the built-in confidence tag and the recommended next step (approve/requery) to standardize review.
You control PHI handling: choose to run the assistant on full clinical notes (for production coding) or use the redaction/de-identification option to produce summaries suitable for QA or training. The system records redaction actions in the audit trail and provides guidance on when full documentation is required for external audits. Follow your organization’s HIPAA policies when exporting or sharing results.
Yes. Paste payer rule bullet lists or upload local exception notes and the assistant will re-evaluate suggestions against those rules, flag conflicts, and provide a brief justification for each flagged item. This helps reduce payer-specific denials and standardizes code assignment across your team.
Each suggestion includes a source citation that identifies the exact sentence or paragraph from the clinical note and, when relevant, an attached guideline or payer rule snippet. The output also records reviewer edits and rationale locks so auditors can retrace the decision path.
Exports are designed for review and handoff: batch summaries can be exported in common formats used for audit and encoder workflows (spreadsheet and structured data exports). Exports include encounter ID, suggested codes, supporting excerpt, confidence tag, and reviewer action to ease integration into downstream processes.
Use the assistant’s prebuilt query and appeal templates as a first draft. For provider queries: keep language non-leading, reference the relevant guideline, and use closed-ended wording where appropriate. For appeals: focus on concise medical necessity points, attach the exact note excerpts cited, and include a short list of supporting documents. Always have a coder or manager review and, for appeals, include clinician sign-off when required.
Start with a small pilot: 1) pick high-volume diagnosis categories, 2) use the code-suggestion and audit-rationale prompts on a limited set of cases, 3) validate outputs with your coding lead and auditor, and 4) lock a set of payer-specific prompt adjustments. Use the provided training snippets to onboard coders to review standards and role-based checks.