DataDoc

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

Company Name

ThetaRho

Product URL

https://www.thetarho.com/datadoc

Company URL

https://www.thetarho.com

Categories

• clinical Care
• administrative Operations
• patient Facing
• diagnostic Support
• clinical Decision Support
• clinical Data Management
• clinical Workflow Automation
• clinical Documentation
• data Integration
• Clinical
• Administrative
• Diagnostic
• Clinical Data Access
• Clinical Data Abstraction
• Clinical Data Integration

Summary

DataDoc is an AI-powered application embedded within the EHR, enabling providers to retrieve patient data through natural language queries, enhancing clinical workflows and patient care.

Description

DataDoc integrates with Electronic Health Records (EHR) to allow healthcare providers to access patient information via natural language queries. It consolidates data from internal EHR records, external care documents (e.g., CCDAs), and patient-generated data, delivering contextual insights during clinical workflows. A unique 'grounding' feature visually distinguishes between AI-generated insights backed by real data and those that are not, assisting clinicians in validating the reliability of the output. This integration aims to reduce administrative burdens, improve efficiency, and enhance patient care by providing comprehensive and accurate patient information in real-time.

Api Available

unknown

Certifications

• FDA 510(k)
• CE/MDR
• ONC
• ISO 27001

Company Founding

2023

Company Offices

• United States

Compliance

• HIPAA
• SOC 2
• ISO 27001
• GDPR
• CCPA
• LGPD
• POPIA

Customers

Data Residency

US/EU regions

Data Standards

• FHIR
• HL7 v2
• DICOM
• SNOMED
• ICD-10

Deployment Model

• SaaS

Features

• Natural language interface for querying patient data
• Integration with internal EHR records
• Integration with external care documents (e.g., CCDAs)
• Integration with patient-generated data
• Contextual insights during clinical workflows
• Grounding feature to distinguish AI-generated insights backed by real data

Id

SW2379

Integration Partners

Integrations

• EHR systems
• CCDA documents
• patient-generated data sources

Languages Supported

• English

Last Updated

2025-10-11

License

commercial

Market Segment

• enterprise
• smb

Optional Modules

Os Platforms

• Web

Pricing Details

Contact vendor for pricing information.

Pricing Model

subscription

Privacy Features

• BAA available
• consent management
• anonymization
• data minimization

Product Code

SW2379

Product Name

DataDoc

Ratings

Regions Available

• United States

Related Urls

• https://elion.health/products/thetarho-datadoc

Release Year

Security Features

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

Specialties

• Internal Medicine
• Family Medicine
• Pediatrics
• Geriatrics
• Obstetrics
• Gynecology
• Orthopedics
• Cardiology
• Neurology
• Pulmonology
• Gastroenterology
• Endocrinology
• Dermatology
• Psychiatry
• Rheumatology
• Infectious Disease
• Hematology
• Oncology
• Urology
• Nephrology

Support Channels

System Requirements

Target Users

• clinicians
• nurses
• patients
• admins

Training Options

Type

product

User Reviews

Version

1.0

Alternatives

See related products

Canonical JSON

{
  "product_name": "DataDoc",
  "company_name": "ThetaRho",
  "product_url": "https://www.thetarho.com/datadoc",
  "company_url": "https://www.thetarho.com",
  "related_urls": [
    "https://elion.health/products/thetarho-datadoc"
  ],
  "product_code": "SW2379",
  "summary": "DataDoc is an AI-powered application embedded within the EHR, enabling providers to retrieve patient data through natural language queries, enhancing clinical workflows and patient care.",
  "description": "DataDoc integrates with Electronic Health Records (EHR) to allow healthcare providers to access patient information via natural language queries. It consolidates data from internal EHR records, external care documents (e.g., CCDAs), and patient-generated data, delivering contextual insights during clinical workflows. A unique 'grounding' feature visually distinguishes between AI-generated insights backed by real data and those that are not, assisting clinicians in validating the reliability of the output. This integration aims to reduce administrative burdens, improve efficiency, and enhance patient care by providing comprehensive and accurate patient information in real-time.",
  "categories": [
    "clinical Care",
    "administrative Operations",
    "patient Facing",
    "diagnostic Support",
    "clinical Decision Support",
    "clinical Data Management",
    "clinical Workflow Automation",
    "clinical Documentation",
    "data Integration",
    "Clinical",
    "Administrative",
    "Patient-facing",
    "Diagnostic",
    "Clinical Decision Support",
    "Clinical Data Access",
    "Clinical Workflow Automation",
    "Clinical Documentation",
    "Clinical Data Abstraction",
    "Clinical Data Integration"
  ],
  "market_segment": [
    "enterprise",
    "smb"
  ],
  "target_users": [
    "clinicians",
    "nurses",
    "patients",
    "admins"
  ],
  "specialties": [
    "Internal Medicine",
    "Family Medicine",
    "Pediatrics",
    "Geriatrics",
    "Obstetrics",
    "Gynecology",
    "Orthopedics",
    "Cardiology",
    "Neurology",
    "Pulmonology",
    "Gastroenterology",
    "Endocrinology",
    "Dermatology",
    "Psychiatry",
    "Rheumatology",
    "Infectious Disease",
    "Hematology",
    "Oncology",
    "Urology",
    "Nephrology"
  ],
  "regions_available": [
    "United States"
  ],
  "languages_supported": [
    "English"
  ],
  "pricing_model": "subscription",
  "pricing_details": "Contact vendor for pricing information.",
  "license": "commercial",
  "company_offices": [
    "United States"
  ],
  "company_founding": "2023",
  "deployment_model": [
    "SaaS"
  ],
  "os_platforms": [
    "Web"
  ],
  "features": [
    "Natural language interface for querying patient data",
    "Integration with internal EHR records",
    "Integration with external care documents (e.g., CCDAs)",
    "Integration with patient-generated data",
    "Contextual insights during clinical workflows",
    "Grounding feature to distinguish AI-generated insights backed by real data"
  ],
  "optional_modules": [],
  "integrations": [
    "EHR systems",
    "CCDA documents",
    "patient-generated data sources"
  ],
  "data_standards": [
    "FHIR",
    "HL7 v2",
    "DICOM",
    "SNOMED",
    "ICD-10"
  ],
  "api_available": "unknown",
  "system_requirements": "",
  "compliance": [
    "HIPAA",
    "SOC 2",
    "ISO 27001",
    "GDPR",
    "CCPA",
    "LGPD",
    "POPIA"
  ],
  "certifications": [
    "FDA 510(k)",
    "CE/MDR",
    "ONC",
    "ISO 27001"
  ],
  "security_features": [
    "Encryption",
    "RBAC",
    "SSO/SAML",
    "audit logs",
    "2FA",
    "DLP"
  ],
  "privacy_features": [
    "BAA available",
    "consent management",
    "anonymization",
    "data minimization"
  ],
  "data_residency": "US/EU regions",
  "customers": [],
  "user_reviews": [],
  "ratings": [],
  "support_channels": [],
  "training_options": [],
  "release_year": "",
  "integration_partners": [],
  "id": "SW2379",
  "slug": "datadoc",
  "type": "product",
  "version": "1.0",
  "last_updated": "2025-10-11",
  "links_json": {
    "self": "https://www.healthaidb.com/software/datadoc.json"
  }
}