aihealth

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

Company Name

aiHealth

Product URL

https://www.ai-health.io/solutions

Company URL

https://www.ai-health.io

Categories

Summary

aiHealth provides aiH.Automate™, an AI platform that automates ambulatory procedural and diagnosis (CPT/ICD) coding to reduce manual coding, speed revenue cycle workflows, and improve clean claim rates.

Description

aiHealth is a commercial AI medical coding solution focused on outpatient/ambulatory and surgical coding. The aiH.Automate™ platform uses specialty-specific ML/AI models to extract codes from structured and unstructured clinical notes, route exceptions to human reviewers, integrate with EHRs and document management systems, and deliver improved turnaround times, coding accuracy, and clean claim rates. The company is HIPAA-compliant and markets its solution to practices, RCM organizations, MSOs and EHR partners.

Api Available

yes

Certifications

Company Founding

2021

Company Offices

Compliance

Customers

Data Residency

Data may be transferred to and processed in the United States

Data Standards

Deployment Model

Features

Id

P0067

Integration Partners

Integrations

Languages Supported

Last Updated

2025-09-07

License

commercial proprietary

Links

Market Segment

Optional Modules

Os Platforms

Pricing Details

Contact vendor for pricing, demos, and trials (sales/contact forms on website).

Pricing Model

enterprise_quote

Privacy Features

Ratings

Regions Available

Release Year

2023

Security Features

Specialties

Support Channels

System Requirements

Target Users

Training Options

Type

product

User Reviews

Version

1.0

Canonical JSON

{
  "company_name": "aiHealth",
  "company_url": "https://www.ai-health.io",
  "company_offices": [
    "United States"
  ],
  "company_founding": "2021",
  "product_url": "https://www.ai-health.io/solutions",
  "categories": [
    "administrative",
    "revenue cycle management",
    "medical coding",
    "clinical documentation",
    "NLP / AI-ML"
  ],
  "market_segment": [
    "enterprise",
    "smb"
  ],
  "links": [
    "https://www.ai-health.io",
    "https://www.ai-health.io/solutions",
    "https://www.ai-health.io/about",
    "https://www.ai-health.io/integrations",
    "https://www.ai-health.io/contact",
    "https://www.ai-health.io/privacypolicy",
    "https://www.linkedin.com/company/aihealth-io/",
    "https://www.crunchbase.com/organization/aihealth",
    "https://tracxn.com/d/companies/aihealth/__Ekgz0BGsqPIdIcB506cmRbYzHRfoHQdf7Nhgz_jdEqw",
    "https://firstwordhealthtech.com/story/5990574"
  ],
  "summary": "aiHealth provides aiH.Automate™, an AI platform that automates ambulatory procedural and diagnosis (CPT/ICD) coding to reduce manual coding, speed revenue cycle workflows, and improve clean claim rates.",
  "description": "aiHealth is a commercial AI medical coding solution focused on outpatient/ambulatory and surgical coding. The aiH.Automate™ platform uses specialty-specific ML/AI models to extract codes from structured and unstructured clinical notes, route exceptions to human reviewers, integrate with EHRs and document management systems, and deliver improved turnaround times, coding accuracy, and clean claim rates. The company is HIPAA-compliant and markets its solution to practices, RCM organizations, MSOs and EHR partners.",
  "target_users": [
    "medical coders",
    "revenue cycle managers",
    "billing teams",
    "physician practices",
    "ambulatory clinicians",
    "management service organizations (MSOs)",
    "RCM organizations",
    "EHR vendors",
    "health system revenue leaders"
  ],
  "specialties": [
    "ambulatory care",
    "orthopedics",
    "urology",
    "musculoskeletal",
    "surgery",
    "primary care"
  ],
  "regions_available": [
    "United States"
  ],
  "languages_supported": [
    "English"
  ],
  "pricing_model": "enterprise_quote",
  "pricing_details": "Contact vendor for pricing, demos, and trials (sales/contact forms on website).",
  "license": "commercial proprietary",
  "deployment_model": [
    "SaaS"
  ],
  "os_platforms": [
    "Web"
  ],
  "features": [
    "Automated procedural and diagnosis coding (aiH.Automate™)",
    "AI/ML extraction from unstructured and structured clinical notes",
    "Auto-populate demographics and clinical insights",
    "Direct routing of coded encounters to billing",
    "Exception routing to human coder work queues",
    "Customizable QA sampling rates by org/provider/specialty",
    "Self-learning models that improve coding accuracy over time",
    "Analytics dashboard with full audit trailing",
    "Integration with EMR/PM systems and data sources",
    "Support for processing PDF and other document formats",
    "Reduction of charge lag and increased coding throughput"
  ],
  "optional_modules": [],
  "integrations": [
    "Veradigm",
    "ModMed",
    "NextGen",
    "athenahealth",
    "DocBuddy",
    "Aptarro",
    "AvodahMed"
  ],
  "data_standards": [
    "FHIR",
    "HL7 v2",
    "REST API / HL7/API"
  ],
  "api_available": "yes",
  "system_requirements": "",
  "compliance": [],
  "certifications": [],
  "security_features": [
    "Full audit trailing",
    "Role-based routing/work queues (implied RBAC for workflows)"
  ],
  "privacy_features": [
    "Privacy policy: data transfer to United States disclosed",
    "Cookies/consent banner (website)"
  ],
  "data_residency": "Data may be transferred to and processed in the United States",
  "customers": [],
  "user_reviews": [],
  "ratings": [],
  "support_channels": [
    "email",
    "contact_form",
    "linkedin"
  ],
  "training_options": [
    "documentation",
    "webinars",
    "live_online",
    "onsite",
    "implementation_support"
  ],
  "release_year": "2023",
  "integration_partners": [
    "Veradigm",
    "ModMed",
    "NextGen",
    "athenahealth",
    "DocBuddy",
    "Aptarro",
    "AvodahMed"
  ],
  "id": "P0067",
  "slug": "aihealth",
  "type": "product",
  "version": "1.0",
  "last_updated": "2025-09-07",
  "links_json": {
    "self": "https://www.healthaidb.com/software/aihealth.json"
  }
}