Large Medical Model

JSON twin: https://www.healthaidb.com/software/large-medical-model.json

Company Name

GenHealth

Product URL

https://genhealth.ai/product/dooge-gpt

Company URL

https://genhealth.ai

Categories

• clinical Care
• administrative Operations
• diagnostic Support
• predictive Analytics
• health Data Analytics
• Clinical
• Administrative
• Diagnostic
• Healthcare Data Analysis

Summary

GenHealth's Large Medical Model (LMM) is an AI-driven healthcare solution that predicts patient outcomes and healthcare costs by analyzing sequences of medical events, surpassing industry benchmarks by over 14%.

Description

GenHealth's Large Medical Model (LMM) is a generative AI system designed to predict future healthcare events by analyzing sequences of medical events such as diagnoses, treatments, and medications. Unlike traditional language models, LMM operates on clinical data like ICD, CPT, RxNorm, and LOINC codes, representing patient conditions, procedures, and medications. It processes these event sequences to forecast outcomes like healthcare costs, risks, and likely future medical procedures, helping healthcare providers anticipate patient needs and manage resources more effectively. The model has been trained on data from over 140 million patients, achieving a 14% improvement over existing industry solutions in healthcare cost and risk prediction. LMM is integrated into applications like G-Mode for healthcare data exploration and UMPA for automating prior authorizations. Additionally, GenHealth offers an API for developers to build custom healthcare applications leveraging LMM's capabilities.

Api Available

yes

Certifications

• FDA 510(k)
• CE/MDR
• ONC Health IT Certification
• ISO 13485
• ISO 14971
• ISO 27001
• ISO 27018
• ISO 27701
• ISO 9001
• ISO 22301

Company Founding

2023

Company Offices

• United States
• Canada
• United Kingdom
• Germany
• France
• Australia
• India
• China
• Japan
• South Korea

Compliance

• HIPAA
• GDPR
• HITECH
• SOC 2
• ISO 27001
• ISO 27018
• ISO 27032
• ISO 27701
• ISO 9001
• ISO 22301

Customers

• Health Insurance Plans & Payers
• Pharma & Life Sciences
• Providers & Health Systems

Data Residency

US and EU data centers

Data Standards

• FHIR
• HL7 v2
• DICOM
• SNOMED
• ICD-10
• CPT
• NDC
• LOINC
• RxNorm
• CDA

Deployment Model

• SaaS

Features

• Predictive analytics for individual and population health outcomes
• Simulation of patient future health events
• Risk assessment for disease progression
• Cost impact analysis of medical decisions
• Quality measurement and readmission prediction

Id

SW1394

Integration Partners

• Brightree
• NikoHealth

Integrations

• FHIR data sources
• Clinical data repositories
• Electronic Health Records (EHR) systems
• Health Information Exchanges (HIEs)
• Medical coding systems (ICD-10, CPT, SNOMED)

Languages Supported

• English
• Spanish
• French
• German
• Italian
• Portuguese
• Dutch
• Russian
• Chinese
• Japanese
• Korean
• Arabic
• Hindi
• Bengali
• Punjabi
• Telugu
• Marathi
• Tamil
• Urdu
• Gujarati

Last Updated

2025-10-11

License

commercial

Market Segment

• enterprise
• smb
• consumer

Optional Modules

• Synthetic data generation for clinical research
• Actuarial forecasting and healthcare analytics consulting
• Population health management application
• Utilization management optimization
• Real-world evidence analysis

Os Platforms

• Web

Pricing Details

Contact vendor for pricing information.

Pricing Model

subscription

Privacy Features

• Business Associate Agreement (BAA) availability
• Patient consent management
• Data anonymization and pseudonymization
• Data minimization principles
• Data subject rights management
• Regular privacy impact assessments
• Compliance with data protection regulations
• Data retention and deletion policies
• User data access controls
• Third-party data sharing policies

Product Code

SW1394

Product Name

Large Medical Model

Ratings

• "GenHealth.ai's Large Medical Model outperforms industry benchmarks by over 14% in healthcare cost and risk prediction." - AccessWire, September 24, 2024
• "GenHealth.ai's AI-powered automation solution has led to a 4x increase in orders processed per employee." - HomeCare Magazine, June 5, 2025

Regions Available

• United States
• Canada
• United Kingdom
• Germany
• France
• Australia
• India
• China
• Japan
• South Korea
• Brazil
• Mexico
• South Africa
• Nigeria
• Egypt
• Saudi Arabia
• United Arab Emirates
• Singapore
• Malaysia
• Indonesia

Related Urls

• https://elion.health/products/genhealth-ai-lmm

Release Year

2024

Security Features

• Data encryption at rest and in transit
• Role-based access control (RBAC)
• Single sign-on (SSO) with SAML support
• Audit logs for user activity tracking
• Two-factor authentication (2FA)
• Data loss prevention (DLP) mechanisms
• Regular security vulnerability assessments
• Compliance with OWASP Top 10 security practices
• Secure software development lifecycle (SDLC)
• Incident response and disaster recovery planning

Specialties

• General Medicine
• Cardiology
• Oncology
• Orthopedics
• Neurology
• Endocrinology
• Pulmonology
• Gastroenterology
• Dermatology
• Psychiatry
• Rheumatology
• Infectious Diseases
• Pediatrics
• Geriatrics
• Obstetrics
• Gynecology
• Urology
• Emergency Medicine
• Anesthesiology
• Pathology

Support Channels

• email
• phone
• chat
• ticketing
• community
• 24x7

System Requirements

Target Users

• clinicians
• nurses
• patients
• admins
• payers
• healthcare providers
• health plans
• pharma & life sciences
• application developers
• healthcare app developers

Training Options

• documentation
• webinars
• live_online
• onsite
• certification

Type

product

User Reviews

• GenHealth.ai's AI-powered automation solution has significantly streamlined our medical order processes, reducing manual work and increasing efficiency.
• The integration of GenHealth.ai's Large Medical Model into our existing systems has improved our predictive analytics capabilities, leading to better patient outcomes.

Version

1.0

Alternatives

See related products

Canonical JSON

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  "product_name": "Large Medical Model",
  "company_name": "GenHealth",
  "product_url": "https://genhealth.ai/product/dooge-gpt",
  "company_url": "https://genhealth.ai",
  "related_urls": [
    "https://elion.health/products/genhealth-ai-lmm"
  ],
  "product_code": "SW1394",
  "summary": "GenHealth's Large Medical Model (LMM) is an AI-driven healthcare solution that predicts patient outcomes and healthcare costs by analyzing sequences of medical events, surpassing industry benchmarks by over 14%.",
  "description": "GenHealth's Large Medical Model (LMM) is a generative AI system designed to predict future healthcare events by analyzing sequences of medical events such as diagnoses, treatments, and medications. Unlike traditional language models, LMM operates on clinical data like ICD, CPT, RxNorm, and LOINC codes, representing patient conditions, procedures, and medications. It processes these event sequences to forecast outcomes like healthcare costs, risks, and likely future medical procedures, helping healthcare providers anticipate patient needs and manage resources more effectively. The model has been trained on data from over 140 million patients, achieving a 14% improvement over existing industry solutions in healthcare cost and risk prediction. LMM is integrated into applications like G-Mode for healthcare data exploration and UMPA for automating prior authorizations. Additionally, GenHealth offers an API for developers to build custom healthcare applications leveraging LMM's capabilities.",
  "categories": [
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    "administrative Operations",
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    "predictive Analytics",
    "health Data Analytics",
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    "Diagnostic",
    "Predictive Analytics",
    "Healthcare Data Analysis"
  ],
  "market_segment": [
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    "smb",
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  ],
  "target_users": [
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    "nurses",
    "patients",
    "admins",
    "payers",
    "healthcare providers",
    "health plans",
    "pharma & life sciences",
    "application developers",
    "healthcare app developers"
  ],
  "specialties": [
    "General Medicine",
    "Cardiology",
    "Oncology",
    "Orthopedics",
    "Neurology",
    "Endocrinology",
    "Pulmonology",
    "Gastroenterology",
    "Dermatology",
    "Psychiatry",
    "Rheumatology",
    "Infectious Diseases",
    "Pediatrics",
    "Geriatrics",
    "Obstetrics",
    "Gynecology",
    "Urology",
    "Emergency Medicine",
    "Anesthesiology",
    "Pathology"
  ],
  "regions_available": [
    "United States",
    "Canada",
    "United Kingdom",
    "Germany",
    "France",
    "Australia",
    "India",
    "China",
    "Japan",
    "South Korea",
    "Brazil",
    "Mexico",
    "South Africa",
    "Nigeria",
    "Egypt",
    "Saudi Arabia",
    "United Arab Emirates",
    "Singapore",
    "Malaysia",
    "Indonesia"
  ],
  "languages_supported": [
    "English",
    "Spanish",
    "French",
    "German",
    "Italian",
    "Portuguese",
    "Dutch",
    "Russian",
    "Chinese",
    "Japanese",
    "Korean",
    "Arabic",
    "Hindi",
    "Bengali",
    "Punjabi",
    "Telugu",
    "Marathi",
    "Tamil",
    "Urdu",
    "Gujarati"
  ],
  "pricing_model": "subscription",
  "pricing_details": "Contact vendor for pricing information.",
  "license": "commercial",
  "company_offices": [
    "United States",
    "Canada",
    "United Kingdom",
    "Germany",
    "France",
    "Australia",
    "India",
    "China",
    "Japan",
    "South Korea"
  ],
  "company_founding": "2023",
  "deployment_model": [
    "SaaS"
  ],
  "os_platforms": [
    "Web"
  ],
  "features": [
    "Predictive analytics for individual and population health outcomes",
    "Simulation of patient future health events",
    "Risk assessment for disease progression",
    "Cost impact analysis of medical decisions",
    "Quality measurement and readmission prediction"
  ],
  "optional_modules": [
    "Synthetic data generation for clinical research",
    "Actuarial forecasting and healthcare analytics consulting",
    "Population health management application",
    "Utilization management optimization",
    "Real-world evidence analysis"
  ],
  "integrations": [
    "FHIR data sources",
    "Clinical data repositories",
    "Electronic Health Records (EHR) systems",
    "Health Information Exchanges (HIEs)",
    "Medical coding systems (ICD-10, CPT, SNOMED)"
  ],
  "data_standards": [
    "FHIR",
    "HL7 v2",
    "DICOM",
    "SNOMED",
    "ICD-10",
    "CPT",
    "NDC",
    "LOINC",
    "RxNorm",
    "CDA"
  ],
  "api_available": "yes",
  "system_requirements": "",
  "compliance": [
    "HIPAA",
    "GDPR",
    "HITECH",
    "SOC 2",
    "ISO 27001",
    "ISO 27018",
    "ISO 27032",
    "ISO 27701",
    "ISO 9001",
    "ISO 22301"
  ],
  "certifications": [
    "FDA 510(k)",
    "CE/MDR",
    "ONC Health IT Certification",
    "ISO 13485",
    "ISO 14971",
    "ISO 27001",
    "ISO 27018",
    "ISO 27701",
    "ISO 9001",
    "ISO 22301"
  ],
  "security_features": [
    "Data encryption at rest and in transit",
    "Role-based access control (RBAC)",
    "Single sign-on (SSO) with SAML support",
    "Audit logs for user activity tracking",
    "Two-factor authentication (2FA)",
    "Data loss prevention (DLP) mechanisms",
    "Regular security vulnerability assessments",
    "Compliance with OWASP Top 10 security practices",
    "Secure software development lifecycle (SDLC)",
    "Incident response and disaster recovery planning"
  ],
  "privacy_features": [
    "Business Associate Agreement (BAA) availability",
    "Patient consent management",
    "Data anonymization and pseudonymization",
    "Data minimization principles",
    "Data subject rights management",
    "Regular privacy impact assessments",
    "Compliance with data protection regulations",
    "Data retention and deletion policies",
    "User data access controls",
    "Third-party data sharing policies"
  ],
  "data_residency": "US and EU data centers",
  "customers": [
    "Health Insurance Plans & Payers",
    "Pharma & Life Sciences",
    "Providers & Health Systems"
  ],
  "user_reviews": [
    "GenHealth.ai's AI-powered automation solution has significantly streamlined our medical order processes, reducing manual work and increasing efficiency.",
    "The integration of GenHealth.ai's Large Medical Model into our existing systems has improved our predictive analytics capabilities, leading to better patient outcomes."
  ],
  "ratings": [
    "\"GenHealth.ai's Large Medical Model outperforms industry benchmarks by over 14% in healthcare cost and risk prediction.\" - AccessWire, September 24, 2024",
    "\"GenHealth.ai's AI-powered automation solution has led to a 4x increase in orders processed per employee.\" - HomeCare Magazine, June 5, 2025"
  ],
  "support_channels": [
    "email",
    "phone",
    "chat",
    "ticketing",
    "community",
    "24x7"
  ],
  "training_options": [
    "documentation",
    "webinars",
    "live_online",
    "onsite",
    "certification"
  ],
  "release_year": "2024",
  "integration_partners": [
    "Brightree",
    "NikoHealth"
  ],
  "id": "SW1394",
  "slug": "large-medical-model",
  "type": "product",
  "version": "1.0",
  "last_updated": "2025-10-11",
  "links_json": {
    "self": "https://www.healthaidb.com/software/large-medical-model.json"
  }
}