mdclone

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

Company Name

MDClone

Product URL

https://mdclone.com/services/health-systems/

Company URL

https://mdclone.com/

Categories

Summary

MDClone ADAMS is a self-service healthcare data platform that enables organizations to explore, analyze, and share clinical data using privacy-preserving synthetic data and AI-assisted tools.

Description

MDClone ADAMS provides dynamic, self-service data exploration, cohort building, and synthetic data generation for healthcare organizations and life sciences. The platform enables real-time querying, privacy-preserving data access, collaboration across teams and external partners, and AI-assisted data preparation and insight generation (ADAMS Copilot). MDClone is used for research, operational analytics, population health, and life-sciences R&D.

Api Available

yes

Certifications

Company Founding

2016

Company Offices

Compliance

Customers

Data Residency

Data Standards

Deployment Model

Features

Id

P0995

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, deployment options, and trial/pilot inquiries.

Pricing Model

enterprise_quote

Privacy Features

Ratings

Regions Available

Release Year

2016

Security Features

Specialties

Support Channels

System Requirements

Target Users

Training Options

Type

product

User Reviews

Version

1.0

Canonical JSON

{
  "company_name": "MDClone",
  "company_url": "https://mdclone.com/",
  "company_offices": [
    "Israel",
    "United States",
    "Canada",
    "Switzerland"
  ],
  "company_founding": "2016",
  "product_url": "https://mdclone.com/services/health-systems/",
  "categories": [
    "clinical",
    "research",
    "data analytics",
    "synthetic data",
    "privacy-preserving",
    "life sciences"
  ],
  "market_segment": [
    "enterprise",
    "health systems",
    "life sciences"
  ],
  "links": [
    "https://mdclone.com/",
    "https://mdclone.com/services/health-systems/",
    "https://mdclone.com/services/synthetic-data/",
    "https://mdclone.com/about-mdclone/",
    "https://mdclone.com/contact-us/",
    "https://mdclone.com/privacy-statement-us/",
    "https://www.cloudera.com/customers/mdclone.html",
    "https://www.prnewswire.com/news-releases/mdclone-synthetic-data-platform-drives-deeper-providerlife-sciences-collaboration-for-therapeutic-rd-301793596.html",
    "https://www.data.va.gov/stories/s/How-to-Access-Synthetic-Data-in-the-VA/rssm-v4rt/"
  ],
  "summary": "MDClone ADAMS is a self-service healthcare data platform that enables organizations to explore, analyze, and share clinical data using privacy-preserving synthetic data and AI-assisted tools.",
  "description": "MDClone ADAMS provides dynamic, self-service data exploration, cohort building, and synthetic data generation for healthcare organizations and life sciences. The platform enables real-time querying, privacy-preserving data access, collaboration across teams and external partners, and AI-assisted data preparation and insight generation (ADAMS Copilot). MDClone is used for research, operational analytics, population health, and life-sciences R&D.",
  "target_users": [
    "clinicians",
    "data scientists",
    "clinical researchers",
    "informatics analysts",
    "health system administrators",
    "life sciences researchers",
    "IT administrators"
  ],
  "specialties": [
    "clinical research",
    "population health",
    "quality & outcomes",
    "operations analytics",
    "life sciences R&D",
    "clinical informatics"
  ],
  "regions_available": [
    "United States",
    "Canada",
    "United Kingdom",
    "Israel",
    "Europe",
    "Australia"
  ],
  "languages_supported": [
    "English"
  ],
  "pricing_model": "enterprise_quote",
  "pricing_details": "Contact vendor for pricing, deployment options, and trial/pilot inquiries.",
  "license": "commercial proprietary",
  "deployment_model": [
    "SaaS",
    "on_prem",
    "hybrid"
  ],
  "os_platforms": [
    "Web"
  ],
  "features": [
    "Self-service multi-source data exploration",
    "Synthetic data generation/publishing",
    "Natural language processing for unstructured notes",
    "Cohort discovery and event-based queries",
    "Interactive filters, categories and search",
    "Visualization and dashboards",
    "Hypothesis testing and statistical assistance (ADAMS Copilot)",
    "Collaboration and sharing workflows",
    "Data standardization and normalization",
    "Role-based workspaces and project management"
  ],
  "optional_modules": [
    "Synthetic Data Engine",
    "NLP/text-extraction module",
    "ADAMS Copilot (statistical assistant)"
  ],
  "integrations": [
    "Electronic health record systems (EHRs) - via customer implementations",
    "Data warehouses / enterprise data lakes",
    "Research registries and clinical data repositories"
  ],
  "data_standards": [
    "FHIR",
    "HL7 v2",
    "SNOMED",
    "ICD-10"
  ],
  "api_available": "yes",
  "system_requirements": "",
  "compliance": [
    "HIPAA",
    "GDPR"
  ],
  "certifications": [],
  "security_features": [
    "Encryption (in transit and at rest)",
    "Role-based access control (RBAC)",
    "Audit logging",
    "SSO/SAML support",
    "Access controls"
  ],
  "privacy_features": [
    "Data minimization and purpose limitation",
    "Synthetic data for privacy-preserving sharing",
    "Privacy policy and regional privacy compliance support"
  ],
  "data_residency": "",
  "customers": [
    "Sheba Medical Center",
    "The Ottawa Hospital",
    "Intermountain Healthcare",
    "Veterans Health Administration (VHA)",
    "McGill University Health Centre (MUHC)",
    "Jefferson Health / Thomas Jefferson University",
    "Nova Scotia Health",
    "Regenstrief Institute",
    "Assuta Medical Centers",
    "CIUSSS (Quebec regional health network)"
  ],
  "user_reviews": [
    "Their technology links to large data pools and produces totally synthetic data that retains the same core statistical properties.",
    "Synthetic data is used instead of real patient-identifiable data to avoid ethical and legal issues while enabling research.",
    "A self-service healthcare data exploration environment that lets researchers and clinicians dive into patient data safely and interactively."
  ],
  "ratings": [],
  "support_channels": [
    "email",
    "phone",
    "chat",
    "ticketing",
    "community"
  ],
  "training_options": [
    "documentation",
    "webinars",
    "live_online",
    "onsite",
    "microlearning"
  ],
  "release_year": "2016",
  "integration_partners": [
    "Tectonic",
    "MCI OneHealth",
    "VHA Innovation Ecosystem",
    "Regenstrief Institute",
    "Intermountain Healthcare",
    "The Ottawa Hospital",
    "McGill University Health Centre",
    "Jefferson Health",
    "Nova Scotia Health",
    "Assuta Medical Centers"
  ],
  "id": "P0995",
  "slug": "mdclone",
  "type": "product",
  "version": "1.0",
  "last_updated": "2025-09-07",
  "links_json": {
    "self": "https://www.healthaidb.com/software/mdclone.json"
  }
}