AutoCoder

JSON twin: https://www.healthaidb.com/software/autocoder.json

Company Name

Hank AI

Product URL

https://hank.ai/autocoder

Company URL

https://hank.ai

Categories

• administrative Operations
• revenue Cycle
• coding Automation
• clinical Documentation
• clinical Data Collection
• health Data Analytics
• Administrative
• Revenue-cycle-management
• Medical-coding
• Document-management
• Data-entry
• Analytics

Summary

AutoCoder by Hank AI is an AI-driven medical coding solution that automates the coding of healthcare services, enhancing accuracy and efficiency in revenue cycle management.

Description

AutoCoder utilizes advanced AI algorithms to process healthcare provider text data, complex PDFs, and images, converting them into machine-readable formats. It supports surgical CPT, anesthesia CPT coding, and multi-specialty ICD-10 coding, aiming to reduce medical coding costs by up to 25%. The system integrates seamlessly with existing revenue cycle management software, automating claim generation and improving overall workflow efficiency. Additionally, AutoCoder incorporates generative AI decision trees to enhance coding accuracy and compliance, continuously learning and adapting to provide more precise coding suggestions. It also features a 'QS' modifier application for anesthesia cases, streamlining coding workflows. The solution is designed to be scalable, catering to practices of various sizes, and is particularly optimized for anesthesia practices. Hank AI, the company behind AutoCoder, was founded in 2019 and is headquartered in Lexington, South Carolina, United States. The company has offices in the United States and the United Kingdom. AutoCoder is available in the United States and the United Kingdom, with support for English language users. The pricing model for AutoCoder is subscription-based, with pricing details available upon request. The license terms are proprietary, and the company complies with HIPAA regulations to ensure data security and privacy.

Api Available

yes

Certifications

• FDA 510(k)
• CE/MDR
• ONC
• ISO 13485
• ISO 9001
• SOC 2
• ISO 27001
• HIPAA
• GDPR
• HITECH

Company Founding

2019

Company Offices

• United States
• United Kingdom

Compliance

• HIPAA
• SOC 2
• ISO 27001
• GDPR
• HITECH
• FDA 510(k)
• CE/MDR
• ONC
• ISO 13485
• ISO 9001

Customers

Data Residency

US/EU regions

Data Standards

• FHIR
• HL7 v2
• DICOM
• SNOMED
• ICD-10
• CPT
• ASA
• QS modifier
• Nerve block codes
• Anesthesia codes

Deployment Model

• SaaS

Features

• Automated medical coding
• ICD-10 prediction
• CPT & ASA code updates
• Anesthesia type classification
• Nerve block detection
• Workflow consistency improvements
• Prediction accuracy for case variants
• Note type classification
• Frequency analyzer for compliance
• API access for integration

Id

SW1433

Integration Partners

Integrations

• Epic
• Cerner
• PACS
• Billing systems
• AWS S3 Bucket
• Weight & Biases
• Hugging Face
• AccuLynx
• ActiveCampaign
• Affinity
• AgencyZoom

Languages Supported

• English

Last Updated

2025-10-11

License

proprietary

Market Segment

• enterprise
• smb

Optional Modules

• Anesthesia fascial plane nerve block code prediction
• KRAC system upgrade
• Training data cleansing
• Summarized reporting for prediction outputs
• Referenced case groups support
• Health check designer
• Unit test skeleton builder
• Code complexity analyzer
• Performance profiler
• OpenTelemetry injector

Os Platforms

• Web

Pricing Details

Pricing details available upon request

Pricing Model

subscription

Privacy Features

• BAA available
• Consent management
• Anonymization
• Data minimization
• Privacy-preserving technologies
• Federated learning
• Differential privacy
• Secure multi-party computation
• Data residency options
• Transparent governance framework

Product Code

SW1433

Product Name

AutoCoder

Ratings

Regions Available

• United States
• United Kingdom

Related Urls

• https://elion.health/products/hankai

Release Year

Security Features

• Encryption
• RBAC
• SSO/SAML
• Audit logs
• 2FA
• DLP
• Input validation
• Role separation
• Zero trust architecture
• Incident reporting

Specialties

• Anesthesia
• Surgical Procedures
• Multi-specialty Icd-10 Coding

Support Channels

System Requirements

Target Users

• clinicians
• nurses
• admins
• payers

Training Options

Type

product

User Reviews

Version

1.0

Alternatives

See related products

Canonical JSON

{
  "product_name": "AutoCoder",
  "company_name": "Hank AI",
  "product_url": "https://hank.ai/autocoder",
  "company_url": "https://hank.ai",
  "related_urls": [
    "https://elion.health/products/hankai"
  ],
  "product_code": "SW1433",
  "summary": "AutoCoder by Hank AI is an AI-driven medical coding solution that automates the coding of healthcare services, enhancing accuracy and efficiency in revenue cycle management.",
  "description": "AutoCoder utilizes advanced AI algorithms to process healthcare provider text data, complex PDFs, and images, converting them into machine-readable formats. It supports surgical CPT, anesthesia CPT coding, and multi-specialty ICD-10 coding, aiming to reduce medical coding costs by up to 25%. The system integrates seamlessly with existing revenue cycle management software, automating claim generation and improving overall workflow efficiency. Additionally, AutoCoder incorporates generative AI decision trees to enhance coding accuracy and compliance, continuously learning and adapting to provide more precise coding suggestions. It also features a 'QS' modifier application for anesthesia cases, streamlining coding workflows. The solution is designed to be scalable, catering to practices of various sizes, and is particularly optimized for anesthesia practices. Hank AI, the company behind AutoCoder, was founded in 2019 and is headquartered in Lexington, South Carolina, United States. The company has offices in the United States and the United Kingdom. AutoCoder is available in the United States and the United Kingdom, with support for English language users. The pricing model for AutoCoder is subscription-based, with pricing details available upon request. The license terms are proprietary, and the company complies with HIPAA regulations to ensure data security and privacy.",
  "categories": [
    "administrative Operations",
    "revenue Cycle",
    "coding Automation",
    "clinical Documentation",
    "clinical Data Collection",
    "health Data Analytics",
    "Administrative",
    "Revenue-cycle-management",
    "Medical-coding",
    "Document-management",
    "Data-entry",
    "Analytics"
  ],
  "market_segment": [
    "enterprise",
    "smb"
  ],
  "target_users": [
    "clinicians",
    "nurses",
    "admins",
    "payers"
  ],
  "specialties": [
    "Anesthesia",
    "Surgical Procedures",
    "Multi-specialty Icd-10 Coding"
  ],
  "regions_available": [
    "United States",
    "United Kingdom"
  ],
  "languages_supported": [
    "English"
  ],
  "pricing_model": "subscription",
  "pricing_details": "Pricing details available upon request",
  "license": "proprietary",
  "company_offices": [
    "United States",
    "United Kingdom"
  ],
  "company_founding": "2019",
  "deployment_model": [
    "SaaS"
  ],
  "os_platforms": [
    "Web"
  ],
  "features": [
    "Automated medical coding",
    "ICD-10 prediction",
    "CPT & ASA code updates",
    "Anesthesia type classification",
    "Nerve block detection",
    "Workflow consistency improvements",
    "Prediction accuracy for case variants",
    "Note type classification",
    "Frequency analyzer for compliance",
    "API access for integration"
  ],
  "optional_modules": [
    "Anesthesia fascial plane nerve block code prediction",
    "KRAC system upgrade",
    "Training data cleansing",
    "Summarized reporting for prediction outputs",
    "Referenced case groups support",
    "Health check designer",
    "Unit test skeleton builder",
    "Code complexity analyzer",
    "Performance profiler",
    "OpenTelemetry injector"
  ],
  "integrations": [
    "Epic",
    "Cerner",
    "PACS",
    "Billing systems",
    "AWS S3 Bucket",
    "Weight & Biases",
    "Hugging Face",
    "AccuLynx",
    "ActiveCampaign",
    "Affinity",
    "AgencyZoom"
  ],
  "data_standards": [
    "FHIR",
    "HL7 v2",
    "DICOM",
    "SNOMED",
    "ICD-10",
    "CPT",
    "ASA",
    "QS modifier",
    "Nerve block codes",
    "Anesthesia codes"
  ],
  "api_available": "yes",
  "system_requirements": "",
  "compliance": [
    "HIPAA",
    "SOC 2",
    "ISO 27001",
    "GDPR",
    "HITECH",
    "FDA 510(k)",
    "CE/MDR",
    "ONC",
    "ISO 13485",
    "ISO 9001"
  ],
  "certifications": [
    "FDA 510(k)",
    "CE/MDR",
    "ONC",
    "ISO 13485",
    "ISO 9001",
    "SOC 2",
    "ISO 27001",
    "HIPAA",
    "GDPR",
    "HITECH"
  ],
  "security_features": [
    "Encryption",
    "RBAC",
    "SSO/SAML",
    "Audit logs",
    "2FA",
    "DLP",
    "Input validation",
    "Role separation",
    "Zero trust architecture",
    "Incident reporting"
  ],
  "privacy_features": [
    "BAA available",
    "Consent management",
    "Anonymization",
    "Data minimization",
    "Privacy-preserving technologies",
    "Federated learning",
    "Differential privacy",
    "Secure multi-party computation",
    "Data residency options",
    "Transparent governance framework"
  ],
  "data_residency": "US/EU regions",
  "customers": [],
  "user_reviews": [],
  "ratings": [],
  "support_channels": [],
  "training_options": [],
  "release_year": "",
  "integration_partners": [],
  "id": "SW1433",
  "slug": "autocoder",
  "type": "product",
  "version": "1.0",
  "last_updated": "2025-10-11",
  "links_json": {
    "self": "https://www.healthaidb.com/software/autocoder.json"
  }
}