Medical Language Engine

JSON twin: https://www.healthaidb.com/software/medical-language-engine.json

Company Name

emtelligent

Product URL

https://emtelligent.com/products/medical-language-engine/

Company URL

https://emtelligent.com

Categories

• clinical Care
• diagnostic Support
• administrative Operations
• data Management
• ai Clinical Documentation Integrity
• clinical Decision Support
• healthcare It
• health Data Analytics
• data Integration
• Clinical
• Diagnostic
• Administrative
• Ai/ml
• Natural Language Processing
• Data Analytics
• Medical Informatics
• Health Data Integration

Summary

The Medical Language Engine by emtelligent is an enterprise-grade platform that transforms unstructured clinical text into structured healthcare data using advanced AI and large language models, delivering clinical-grade accuracy and powerful insights.

Description

The Medical Language Engine processes unstructured clinical records at scale, providing features like entity linking, polarity and uncertainty detection, experiencer detection, measurement and temporality relations, and medication identification and follow-up detection. It offers custom medical language models, flexible and secure architecture, extensible APIs and SDKs, traceable audit reporting, and smart summaries. The platform is built exclusively for healthcare, trained on billions of data points and over 2 million hand-annotated clinical records, ensuring superior accuracy in identifying and understanding clinical data.

Api Available

yes

Certifications

• FDA 510(k)
• CE/MDR
• ONC
• ISO
• HITRUST e1 Certification

Company Founding

2018

Company Offices

• Canada
• United States
• United Kingdom
• Australia
• Germany
• France
• Italy
• Spain
• Netherlands
• Sweden

Compliance

• HIPAA
• GDPR
• HITECH
• SOC 2
• ISO 27001
• HITRUST e1 Certification

Customers

Data Residency

US/EU regions

Data Standards

• FHIR
• HL7 v2
• DICOM
• SNOMED CT
• ICD-10
• LOINC
• NDC
• RxNorm
• RadLex
• CPT
• HCPCS
• MEDCIN

Deployment Model

• SaaS
• on_prem
• hybrid

Features

• Entity Linking
• Polarity & Uncertainty Detection
• Experiencer Detection
• Measurement & Temporality Relations
• Medication Identification & Follow-Up Detection
• Custom Medical Language Models
• Flexible, Secure Architecture
• Extensible APIs & SDKs
• Traceable Audit Reporting
• Smart Summaries

Id

SW1290

Integration Partners

Integrations

• Epic
• Cerner
• PACS
• billing
• Medicomp Systems Quippe Clinical Data Engine

Languages Supported

• English
• Spanish
• French
• German
• Italian
• Dutch
• Swedish
• Norwegian
• Danish
• Finnish
• Belgian Dutch
• Swiss German
• Austrian German
• New Zealand English
• Japanese
• Korean
• Mandarin Chinese
• Cantonese Chinese
• Hindi
• Arabic
• Portuguese

Last Updated

2025-10-11

License

commercial

Market Segment

• enterprise
• healthcare organizations
• clinical research
• health tech solutions
• pharmaceutical companies
• government agencies
• hospitals
• health systems
• insurance carriers
• clinical trial organizations

Optional Modules

• Clinical Workflow
• Document Manager

Os Platforms

• Web
• iOS
• Android
• Windows
• macOS
• Linux

Pricing Details

Contact vendor for pricing information.

Pricing Model

enterprise_quote

Privacy Features

• BAA available
• consent mgmt
• anonymization
• data minimization

Product Code

SW1290

Product Name

Medical Language Engine

Ratings

Regions Available

• United States
• Canada
• United Kingdom
• Australia
• Germany
• France
• Italy
• Spain
• Netherlands
• Sweden
• Norway
• Denmark
• Finland
• Belgium
• Switzerland
• Austria
• New Zealand
• Japan
• South Korea
• Singapore

Related Urls

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

Release Year

Security Features

• Encryption
• RBAC
• SSO/SAML
• audit logs
• 2FA
• DLP

Specialties

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

Support Channels

System Requirements

Major OS/DB/hardware needs, or empty if SaaS-only

Target Users

• clinicians
• nurses
• doctors
• medical researchers
• healthcare administrators
• data scientists
• healthcare IT professionals
• clinical coders
• healthcare analysts
• medical reviewers

Training Options

Type

product

User Reviews

Version

1.0

Alternatives

See related products

Canonical JSON

{
  "product_name": "Medical Language Engine",
  "company_name": "emtelligent",
  "product_url": "https://emtelligent.com/products/medical-language-engine/",
  "company_url": "https://emtelligent.com",
  "related_urls": [
    "https://elion.health/products/emtelligent"
  ],
  "product_code": "SW1290",
  "summary": "The Medical Language Engine by emtelligent is an enterprise-grade platform that transforms unstructured clinical text into structured healthcare data using advanced AI and large language models, delivering clinical-grade accuracy and powerful insights.",
  "description": "The Medical Language Engine processes unstructured clinical records at scale, providing features like entity linking, polarity and uncertainty detection, experiencer detection, measurement and temporality relations, and medication identification and follow-up detection. It offers custom medical language models, flexible and secure architecture, extensible APIs and SDKs, traceable audit reporting, and smart summaries. The platform is built exclusively for healthcare, trained on billions of data points and over 2 million hand-annotated clinical records, ensuring superior accuracy in identifying and understanding clinical data.",
  "categories": [
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    "diagnostic Support",
    "administrative Operations",
    "data Management",
    "ai Clinical Documentation Integrity",
    "clinical Decision Support",
    "ai Clinical Documentation Integrity",
    "healthcare It",
    "health Data Analytics",
    "data Integration",
    "Clinical",
    "Diagnostic",
    "Administrative",
    "Data Management",
    "Ai/ml",
    "Natural Language Processing",
    "Healthcare It",
    "Data Analytics",
    "Medical Informatics",
    "Health Data Integration"
  ],
  "market_segment": [
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    "healthcare organizations",
    "clinical research",
    "health tech solutions",
    "pharmaceutical companies",
    "government agencies",
    "hospitals",
    "health systems",
    "insurance carriers",
    "clinical trial organizations"
  ],
  "target_users": [
    "clinicians",
    "nurses",
    "doctors",
    "medical researchers",
    "healthcare administrators",
    "data scientists",
    "healthcare IT professionals",
    "clinical coders",
    "healthcare analysts",
    "medical reviewers"
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  "specialties": [
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    "Cardiology",
    "Oncology",
    "Neurology",
    "Orthopedics",
    "Pediatrics",
    "Geriatrics",
    "Emergency Medicine",
    "Psychiatry",
    "Dermatology",
    "Pulmonology",
    "Gastroenterology",
    "Endocrinology",
    "Infectious Diseases",
    "Rheumatology",
    "Hematology",
    "Urology",
    "Obstetrics And Gynecology",
    "Pathology",
    "Anesthesiology"
  ],
  "regions_available": [
    "United States",
    "Canada",
    "United Kingdom",
    "Australia",
    "Germany",
    "France",
    "Italy",
    "Spain",
    "Netherlands",
    "Sweden",
    "Norway",
    "Denmark",
    "Finland",
    "Belgium",
    "Switzerland",
    "Austria",
    "New Zealand",
    "Japan",
    "South Korea",
    "Singapore"
  ],
  "languages_supported": [
    "English",
    "Spanish",
    "French",
    "German",
    "Italian",
    "Dutch",
    "Swedish",
    "Norwegian",
    "Danish",
    "Finnish",
    "Belgian Dutch",
    "Swiss German",
    "Austrian German",
    "New Zealand English",
    "Japanese",
    "Korean",
    "Mandarin Chinese",
    "Cantonese Chinese",
    "Hindi",
    "Arabic",
    "Portuguese"
  ],
  "pricing_model": "enterprise_quote",
  "pricing_details": "Contact vendor for pricing information.",
  "license": "commercial",
  "company_offices": [
    "Canada",
    "United States",
    "United Kingdom",
    "Australia",
    "Germany",
    "France",
    "Italy",
    "Spain",
    "Netherlands",
    "Sweden"
  ],
  "company_founding": "2018",
  "deployment_model": [
    "SaaS",
    "on_prem",
    "hybrid"
  ],
  "os_platforms": [
    "Web",
    "iOS",
    "Android",
    "Windows",
    "macOS",
    "Linux"
  ],
  "features": [
    "Entity Linking",
    "Polarity & Uncertainty Detection",
    "Experiencer Detection",
    "Measurement & Temporality Relations",
    "Medication Identification & Follow-Up Detection",
    "Custom Medical Language Models",
    "Flexible, Secure Architecture",
    "Extensible APIs & SDKs",
    "Traceable Audit Reporting",
    "Smart Summaries"
  ],
  "optional_modules": [
    "Clinical Workflow",
    "Document Manager"
  ],
  "integrations": [
    "Epic",
    "Cerner",
    "PACS",
    "billing",
    "Medicomp Systems Quippe Clinical Data Engine"
  ],
  "data_standards": [
    "FHIR",
    "HL7 v2",
    "DICOM",
    "SNOMED CT",
    "ICD-10",
    "LOINC",
    "NDC",
    "RxNorm",
    "RadLex",
    "CPT",
    "HCPCS",
    "MEDCIN"
  ],
  "api_available": "yes",
  "system_requirements": "Major OS/DB/hardware needs, or empty if SaaS-only",
  "compliance": [
    "HIPAA",
    "GDPR",
    "HITECH",
    "SOC 2",
    "ISO 27001",
    "HITRUST e1 Certification"
  ],
  "certifications": [
    "FDA 510(k)",
    "CE/MDR",
    "ONC",
    "ISO",
    "HITRUST e1 Certification"
  ],
  "security_features": [
    "Encryption",
    "RBAC",
    "SSO/SAML",
    "audit logs",
    "2FA",
    "DLP"
  ],
  "privacy_features": [
    "BAA available",
    "consent mgmt",
    "anonymization",
    "data minimization"
  ],
  "data_residency": "US/EU regions",
  "customers": [],
  "user_reviews": [],
  "ratings": [],
  "support_channels": [],
  "training_options": [],
  "release_year": "",
  "integration_partners": [],
  "id": "SW1290",
  "slug": "medical-language-engine",
  "type": "product",
  "version": "1.0",
  "last_updated": "2025-10-11",
  "links_json": {
    "self": "https://www.healthaidb.com/software/medical-language-engine.json"
  }
}