Enterprise

End-to-End AI Chart Coding. HIPAA Compliant. Evidence-Backed.

Ingest charts, verify members, extract clinical evidence, generate ICD-10 codes with our proprietary 5-step AI coding engine, and produce audit-ready outputs with evidence attached to every code. Our AI agent follows your organization's project-specific coding guidelines — not just generic rules.

HIPAA Compliant

BAA + Zero Retention + HIPAA Minimum Necessary + Field Encryption

955K+

Reference Rows

Full CMS ICD-10-CM + HCC data from official sources

5-Step AI Coding

Index lookup, tabular verification, inherited notes, HCC mapping

Evidence-Linked

Every code tied to source document text spans

Core Workflow

End-to-end AI-assisted chart coding with human oversight

1

Ingest & Match

Upload PDFs, HL7/FHIR feeds, or connect via SFTP/clearinghouse integrations. Automatic document classification + member demographic verification (patient identity, DOS, rendering provider against encounter record).

2

AI-Powered Extraction

Reads clinical documents, verifies member identity, extracts conditions/medications/providers linked to exact text spans. HIPAA Minimum Necessary: only required demographics sent to LLM under BAA with zero data retention. All other identifiers stripped. Extracted PHI encrypted at rest.

3

Proprietary 5-Step AI Coding

Our coding engine runs the same systematic process a certified coder follows — backed by 955K+ CMS reference data rows and your organization's project-specific guidelines.

  1. 1 Normalize — Abbreviation expansion (50+ medical abbreviations) and term standardization
  2. 2 Index Lookup — Greedy tree traversal + See-reference resolution against the official ICD-10-CM Index
  3. 3 Tabular Verification — Official Tabular List validation with inherited notes: Excludes1, Code First, Use Additional Code
  4. 4 Specificity & Combination Check — Laterality, episode-of-care, combination code detection
  5. 5 Structured Output — Confidence levels, sequencing rationale, documentation gap warnings, HCC mappings

Plus: AI agent follows project-specific coding guidelines / RuleSet configs. Every code backed by evidence spans from the source documents.

4

Coder Review & Provider Query

9-state encounter workflow with accept/edit/reject actions. Built-in provider query for clinical clarification when documentation is insufficient.

5

Audit & Export

Immutable hash-chained audit trail. Export via X12 EDI 837, FHIR Claim, or CSV with evidence attached. 40+ CARC denial code tracking for resubmission and appeals.

Not Just AI Suggestions. A Complete Coding Workflow.

Most AI coding tools just propose codes from an LLM. AccuRecord runs the systematic coder process — index lookup, tabular verification, inherited notes, HCC mapping — backed by 955K+ CMS reference data rows and your project-specific guidelines.

Member Verification

Patient identity, DOS, and rendering provider verified against encounter record before coding begins.

Evidence-Linked Codes

Every proposed code tied to exact text spans in the source document. No black-box suggestions.

PHI-Safe AI

BAA + zero data retention + HIPAA Minimum Necessary. Only required demographics sent to LLM.

Project Guidelines

Org-specific RuleSet configs, not just generic CMS rules. Your coding guidelines enforced by the AI agent.

955K+ Reference Data

Full CMS ICD-10-CM + HCC reference data. Index, Tabular List, and mapping tables from official sources.

HCC Hierarchy Suppression

Automatic hierarchy suppression across HCC models. Lower-ranked codes suppressed when higher-ranked codes present.

RAF Weight Calculations

RAF weight calculations across all 5 risk-adjustment models — CMS-HCC V24/V28, RxHCC, HHS-HCC, and ESRD.

Guideline-Grounded Chat

AI chat grounded in official coding guidelines and your project-specific rules for coder support.

Abbreviation Intelligence

50+ medical abbreviations expanded and normalized before coding for accurate index lookup.

HIPAA Compliance Built In

PHI supported for enterprise customers under an executed BAA. Every layer designed for HIPAA-regulated workflows.

HIPAA Minimum Necessary

Only required clinical content and minimal demographics sent to AI. All other identifiers stripped before LLM processing.

AI Processing

OpenAI BAA executed. Zero data retention. Zero training on customer data.

At Rest

Field-level envelope encryption with unique key per record. PHI fields encrypted independently.

In Transit

TLS 1.2+ enforced on all connections. HSTS enabled.

Access Control

Multi-tenant isolation, 100+ RBAC permissions, MFA, SSO/OIDC.

Audit Trail

SHA-256 hash-chained immutable log. Every action recorded with who, what, when, and why.

Data Retention

Automated purging policies. 7-year PHI retention, 6-year audit log retention per regulatory requirements.

Enterprise Features

Organizations / workspaces / projects

Multi-tenant architecture with complete data isolation. Hierarchical org → workspace → project structure for flexible team organization.

Role-based access control

100+ granular permissions across admin, coder, auditor, QA, and reviewer roles. Configurable per workspace and project.

9-state encounter workflow

Encounters flow through 9 configurable states from ingestion to export. Assignment routing, priority queues, and workload balancing.

Provider query system

Built-in clinical clarification workflow. Coders query providers directly within encounters for documentation improvement.

Denial management

Track and manage 40+ CARC denial codes. Resubmission workflows, appeal tracking, and denial analytics dashboards.

Security package

Available under NDA: SOC 2 Type II controls mapped, security architecture, penetration test results, and compliance documentation.

Pricing

Starter

Custom

For small teams getting started with AI-assisted coding.

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Recommended

Professional

Custom

Full platform with AI coding, provider queries, and denial management.

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Enterprise

Custom

SSO, custom SLA, dedicated support, and BAA included.

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Ready to Scale Your Coding Operations?

Contact our team to schedule a demo and discuss your organization's needs.