eiq

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

Company Name

Ensemble Health Partners

Product URL

https://www.ensemblehp.com/rcm-intelligence/

Company URL

https://www.ensemblehp.com/

Categories

Summary

EIQ is Ensemble Health Partners' AI‑powered revenue cycle intelligence platform that uses machine learning, RPA and analytics to prevent revenue loss, reduce denials, and automate RCM workflows for hospitals and ambulatory organizations.

Description

EIQ (Ensemble Intelligence) is a proprietary RCM intelligence engine built on harmonized RCM data and ML models to deliver pre‑bill analysis, real‑time scoring, automated decisioning and workflow automation. It integrates with EHRs and billing systems, provides dashboards and recommendations to operators, supports denial prevention and clinical alignment, and is delivered under Ensemble's managed services/technology offering with HITRUST and SOC 2 controls.

Api Available

unknown

Certifications

Company Founding

2014

Company Offices

Compliance

Customers

Data Residency

Data Standards

Deployment Model

Features

Id

P0513

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 and deployment model (enterprise/managed‑services).

Pricing Model

enterprise_quote

Privacy Features

Ratings

Regions Available

Release Year

2014

Security Features

Specialties

Support Channels

System Requirements

Target Users

Training Options

Type

product

User Reviews

Version

1.0

Canonical JSON

{
  "company_name": "Ensemble Health Partners",
  "company_url": "https://www.ensemblehp.com/",
  "company_offices": [
    "United States"
  ],
  "company_founding": "2014",
  "product_url": "https://www.ensemblehp.com/rcm-intelligence/",
  "categories": [
    "administrative",
    "financial",
    "revenue cycle management",
    "analytics",
    "AI/ML",
    "automation",
    "reporting"
  ],
  "market_segment": [
    "enterprise",
    "mid-market"
  ],
  "links": [
    "https://www.ensemblehp.com/",
    "https://www.ensemblehp.com/rcm-intelligence/",
    "https://www.ensemblehp.com/about-us/",
    "https://www.ensemblehp.com/contact/",
    "https://www.ensemblehp.com/blog/ensemble-health-partners-achieves-hitrust-risk-based-2-year-certification-to-further-mitigate-risk-in-third-party-privacy-security-and-compliance/",
    "https://solutions.ensemblehp.com/whitepaper-ai",
    "https://elion.health/products/eiq",
    "https://www.sec.gov/Archives/edgar/data/1865597/000119312521286798/d132904ds1.htm",
    "https://www.ensemblehp.com/blog/ensemble-health-partners-awarded-tenth-u-s-patent-for-latest-innovative-technology-driving-frictionless-revenue-cycle-management-for-healthcare-providers/",
    "https://www.ensemblehp.com/results/"
  ],
  "summary": "EIQ is Ensemble Health Partners' AI‑powered revenue cycle intelligence platform that uses machine learning, RPA and analytics to prevent revenue loss, reduce denials, and automate RCM workflows for hospitals and ambulatory organizations.",
  "description": "EIQ (Ensemble Intelligence) is a proprietary RCM intelligence engine built on harmonized RCM data and ML models to deliver pre‑bill analysis, real‑time scoring, automated decisioning and workflow automation. It integrates with EHRs and billing systems, provides dashboards and recommendations to operators, supports denial prevention and clinical alignment, and is delivered under Ensemble's managed services/technology offering with HITRUST and SOC 2 controls.",
  "target_users": [
    "revenue cycle operators",
    "billing teams",
    "coders",
    "denials specialists",
    "health system finance leaders",
    "hospital administrators",
    "ambulatory clinic admins",
    "clinical documentation specialists"
  ],
  "specialties": [
    "revenue cycle management",
    "denials management",
    "medical coding",
    "clinical documentation integrity",
    "billing and collections",
    "payer performance analytics"
  ],
  "regions_available": [
    "United States"
  ],
  "languages_supported": [
    "English"
  ],
  "pricing_model": "enterprise_quote",
  "pricing_details": "Contact vendor for pricing and deployment model (enterprise/managed‑services).",
  "license": "commercial proprietary",
  "deployment_model": [
    "cloud (SaaS)"
  ],
  "os_platforms": [
    "web"
  ],
  "features": [
    "AI-powered decisioning engine (EIQ)",
    "Data aggregation and harmonization of structured and unstructured data",
    "Agentic + generative AI to automate RCM tasks",
    "Predictive analytics and real-time scoring",
    "Pre-bill analysis for inpatient claims",
    "Workflow automation and operator guidance",
    "Dashboards and reporting for root-cause and performance insights",
    "Denials management / clinical alignment to justify care",
    "Optical scanning and translation of paper records (OCR workflow support)",
    "Anomaly detection across RCM processes"
  ],
  "optional_modules": [],
  "integrations": [
    "Epic"
  ],
  "data_standards": [],
  "api_available": "unknown",
  "system_requirements": "",
  "compliance": [
    "HITRUST r2",
    "HIPAA"
  ],
  "certifications": [
    "HITRUST r2"
  ],
  "security_features": [
    "Security program led by CISO",
    "HITRUST-certified controls"
  ],
  "privacy_features": [
    "HIPAA-aligned data protection"
  ],
  "data_residency": "",
  "customers": [
    "Carilion Clinic",
    "Covenant Health",
    "Midwest hospitals (unnamed case study)"
  ],
  "user_reviews": [
    "They will buy out the entirety of your revenue cycle team and you'll no longer be an employee at your hospital you'll be employed through them.",
    "They pay coders practically nothing."
  ],
  "ratings": [
    "HITRUST certification for EIQ (Ensemble blog)",
    "SOC 2 Type II (Elion.health product profile)",
    "KLAS vendor listing for Ensemble (KLAS Research)"
  ],
  "support_channels": [],
  "training_options": [
    "documentation",
    "webinars",
    "live_online"
  ],
  "release_year": "2014",
  "integration_partners": [
    "Microsoft (Azure)",
    "Epic",
    "Databricks",
    "Fifthnote",
    "Azure Machine Learning"
  ],
  "id": "P0513",
  "slug": "eiq",
  "type": "product",
  "version": "1.0",
  "last_updated": "2025-09-07",
  "links_json": {
    "self": "https://www.healthaidb.com/software/eiq.json"
  }
}