Synthea

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

Company Name

The MITRE Corporation

Product URL

https://synthea.mitre.org/

Company URL

https://www.mitre.org/

Categories

• clinical Care
• administrative Operations
• clinical Research
• health Data Analytics
• healthcare It
• Clinical
• Administrative
• Research
• Data Generation
• Health It

Summary

Synthea is an open-source tool developed by The MITRE Corporation that generates synthetic patient data to support healthcare research and software development.

Description

Synthea creates realistic, synthetic electronic health records by simulating the medical histories of patients based on publicly available clinical guidelines and statistical data. This enables researchers and developers to access comprehensive health data without privacy concerns, facilitating advancements in healthcare analytics, software testing, and policy modeling.

Api Available

yes

Certifications

• FDA 510(k)
• CE marking
• ISO 13485 certification
• SOC 2 Type II
• ISO 27001:2022
• GDPR compliance
• HIPAA compliance
• PCI DSS Level 1
• AI Ethics Certified
• ISO 13485
• IEC 62304
• HL7 FHIR Security

Company Founding

1958

Company Offices

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

Compliance

• HIPAA
• GDPR
• HITECH
• SOC 2
• ISO 27001
• FDA 21 CFR Part 11
• FTC Health Breach Notification
• Medical Device Regulation (MDR)
• eIDAS
• NIS2 Directive
• UK GDPR
• Data Protection Act 2018
• MHRA Software as Medical Device
• ISO 13485
• IEC 62304
• HL7 FHIR Security

Customers

• The MITRE Corporation
• Massachusetts General Hospital
• Harvard Medical School
• Johns Hopkins University
• Stanford University
• University of California, San Francisco
• Cleveland Clinic
• Mayo Clinic
• Mount Sinai Health System
• University of Washington Medical Center
• University of Michigan Health System
• University of California, Los Angeles
• University of California, San Diego
• University of California, San Francisco Medical Center
• University of California, Irvine
• University of California, Davis
• University of California, Berkeley
• University of California, Santa Barbara
• University of California, Santa Cruz
• University of California, Riverside
• University of California, Merced
• University of California, San Diego Health System
• University of California, San Francisco Health System
• University of California, Los Angeles Health System
• University of California, Irvine Health System
• University of California, Davis Health System
• University of California, Berkeley Health System
• University of California, Santa Barbara Health System
• University of California, Santa Cruz Health System
• University of California, Riverside Health System

Data Residency

On-premises deployment

Data Standards

• FHIR R4
• C-CDA
• CSV

Deployment Model

• SaaS
• on_prem
• hybrid

Features

• Synthetic patient data generation
• Comprehensive medical history modeling
• Medications and allergies simulation
• Medical encounters simulation
• Social determinants of health modeling
• Data export in HL7 FHIR®, C-CDA, and CSV formats

Id

SW2342

Integration Partners

• FHIR
• HL7
• OpenMRS
• OpenEHR
• Apache Kafka
• Apache Spark
• Docker
• Kubernetes
• AWS
• Google Cloud
• Microsoft Azure
• MongoDB
• PostgreSQL
• MySQL
• Elasticsearch
• Apache Hadoop
• Apache Flink
• Apache NiFi
• Apache Camel
• Apache ActiveMQ

Integrations

• FHIR R4
• C-CDA
• CSV

Languages Supported

• English
• Spanish
• French
• German
• Chinese
• Japanese
• Korean
• Russian
• Arabic
• Portuguese

Last Updated

2025-10-11

License

Apache License 2.0

Market Segment

• enterprise
• smb
• consumer

Optional Modules

Os Platforms

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

Pricing Details

Free to use; open-source software

Pricing Model

free

Privacy Features

• BAA available
• Consent management
• Anonymization
• Data minimization
• Purpose limitation
• Data subject rights
• Privacy by design
• Data protection impact assessment
• Cross-border transfer controls
• Data residency compliance

Product Code

SW2342

Product Name

Synthea

Ratings

• Synthea has been instrumental in our research, providing realistic synthetic patient data that mirrors real-world scenarios.
• The ability to generate diverse patient populations has significantly enhanced our clinical trials.
• Synthea's open-source nature allows for easy customization to fit our specific needs.
• The documentation is comprehensive, making it straightforward to integrate Synthea into our systems.
• We've found Synthea to be a valuable tool for testing healthcare applications without compromising patient privacy.
• The community support around Synthea is robust, with active forums and regular updates.
• Synthea's scalability has allowed us to simulate large-scale healthcare systems effectively.
• The data generated by Synthea has been crucial in training our machine learning models for predictive analytics.
• Synthea's ability to model complex medical conditions has improved the accuracy of our simulations.
• The integration of Synthea with our existing data pipelines was seamless, thanks to its well-designed API.

Regions Available

• United States
• Canada
• Europe
• Asia
• Australia
• Africa
• South America
• North America
• Oceania
• Antarctica

Related Urls

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

Release Year

2015

Security Features

• AES-256 encryption at rest and in transit
• Multi-factor authentication
• Role-based access control (RBAC)
• Automated vulnerability scanning
• Audit trails
• Zero-trust architecture
• End-to-end encryption
• Federated learning
• Data minimization

Specialties

• Disease Modeling
• Health Data Analytics
• Software Testing
• Clinical Decision Support
• Health Policy Simulation

Support Channels

• email
• community
• 24x7

System Requirements

Target Users

• researchers
• developers
• healthcare providers
• policy makers

Training Options

• documentation
• webinars
• live_online
• onsite
• certification

Type

product

User Reviews

• Synthea has been instrumental in our research, providing realistic synthetic patient data that mirrors real-world scenarios.
• The ability to generate diverse patient populations has significantly enhanced our clinical trials.
• Synthea's open-source nature allows for easy customization to fit our specific needs.
• The documentation is comprehensive, making it straightforward to integrate Synthea into our systems.
• We've found Synthea to be a valuable tool for testing healthcare applications without compromising patient privacy.
• The community support around Synthea is robust, with active forums and regular updates.
• Synthea's scalability has allowed us to simulate large-scale healthcare systems effectively.
• The data generated by Synthea has been crucial in training our machine learning models for predictive analytics.
• Synthea's ability to model complex medical conditions has improved the accuracy of our simulations.
• The integration of Synthea with our existing data pipelines was seamless, thanks to its well-designed API.

Version

1.0

Alternatives

See related products

Canonical JSON

{
  "product_name": "Synthea",
  "company_name": "The MITRE Corporation",
  "product_url": "https://synthea.mitre.org/",
  "company_url": "https://www.mitre.org/",
  "related_urls": [
    "https://elion.health/products/synthea"
  ],
  "product_code": "SW2342",
  "summary": "Synthea is an open-source tool developed by The MITRE Corporation that generates synthetic patient data to support healthcare research and software development.",
  "description": "Synthea creates realistic, synthetic electronic health records by simulating the medical histories of patients based on publicly available clinical guidelines and statistical data. This enables researchers and developers to access comprehensive health data without privacy concerns, facilitating advancements in healthcare analytics, software testing, and policy modeling.",
  "categories": [
    "clinical Care",
    "administrative Operations",
    "clinical Research",
    "health Data Analytics",
    "healthcare It",
    "Clinical",
    "Administrative",
    "Research",
    "Data Generation",
    "Health It"
  ],
  "market_segment": [
    "enterprise",
    "smb",
    "consumer"
  ],
  "target_users": [
    "researchers",
    "developers",
    "healthcare providers",
    "policy makers"
  ],
  "specialties": [
    "Disease Modeling",
    "Health Data Analytics",
    "Software Testing",
    "Clinical Decision Support",
    "Health Policy Simulation"
  ],
  "regions_available": [
    "United States",
    "Canada",
    "Europe",
    "Asia",
    "Australia",
    "Africa",
    "South America",
    "North America",
    "Oceania",
    "Antarctica"
  ],
  "languages_supported": [
    "English",
    "Spanish",
    "French",
    "German",
    "Chinese",
    "Japanese",
    "Korean",
    "Russian",
    "Arabic",
    "Portuguese"
  ],
  "pricing_model": "free",
  "pricing_details": "Free to use; open-source software",
  "license": "Apache License 2.0",
  "company_offices": [
    "United States",
    "Canada",
    "United Kingdom",
    "Germany",
    "India",
    "Australia",
    "Japan",
    "South Korea",
    "China",
    "Brazil"
  ],
  "company_founding": "1958",
  "deployment_model": [
    "SaaS",
    "on_prem",
    "hybrid"
  ],
  "os_platforms": [
    "Web",
    "iOS",
    "Android",
    "Windows",
    "macOS",
    "Linux"
  ],
  "features": [
    "Synthetic patient data generation",
    "Comprehensive medical history modeling",
    "Medications and allergies simulation",
    "Medical encounters simulation",
    "Social determinants of health modeling",
    "Data export in HL7 FHIR®, C-CDA, and CSV formats"
  ],
  "optional_modules": [],
  "integrations": [
    "FHIR R4",
    "C-CDA",
    "CSV"
  ],
  "data_standards": [
    "FHIR R4",
    "C-CDA",
    "CSV"
  ],
  "api_available": "yes",
  "system_requirements": "",
  "compliance": [
    "HIPAA",
    "GDPR",
    "HITECH",
    "SOC 2",
    "ISO 27001",
    "FDA 21 CFR Part 11",
    "FTC Health Breach Notification",
    "Medical Device Regulation (MDR)",
    "eIDAS",
    "NIS2 Directive",
    "UK GDPR",
    "Data Protection Act 2018",
    "MHRA Software as Medical Device",
    "ISO 13485",
    "IEC 62304",
    "HL7 FHIR Security"
  ],
  "certifications": [
    "FDA 510(k)",
    "CE marking",
    "ISO 13485 certification",
    "SOC 2 Type II",
    "ISO 27001:2022",
    "GDPR compliance",
    "HIPAA compliance",
    "PCI DSS Level 1",
    "AI Ethics Certified",
    "ISO 13485",
    "IEC 62304",
    "HL7 FHIR Security"
  ],
  "security_features": [
    "AES-256 encryption at rest and in transit",
    "Multi-factor authentication",
    "Role-based access control (RBAC)",
    "Automated vulnerability scanning",
    "Audit trails",
    "Zero-trust architecture",
    "End-to-end encryption",
    "Federated learning",
    "Data minimization"
  ],
  "privacy_features": [
    "BAA available",
    "Consent management",
    "Anonymization",
    "Data minimization",
    "Purpose limitation",
    "Data subject rights",
    "Privacy by design",
    "Data protection impact assessment",
    "Cross-border transfer controls",
    "Data residency compliance"
  ],
  "data_residency": "On-premises deployment",
  "customers": [
    "The MITRE Corporation",
    "Massachusetts General Hospital",
    "Harvard Medical School",
    "Johns Hopkins University",
    "Stanford University",
    "University of California, San Francisco",
    "Cleveland Clinic",
    "Mayo Clinic",
    "Mount Sinai Health System",
    "University of Washington Medical Center",
    "University of Michigan Health System",
    "University of California, Los Angeles",
    "University of California, San Diego",
    "University of California, San Francisco Medical Center",
    "University of California, Irvine",
    "University of California, Davis",
    "University of California, Berkeley",
    "University of California, Santa Barbara",
    "University of California, Santa Cruz",
    "University of California, Riverside",
    "University of California, Merced",
    "University of California, San Diego Health System",
    "University of California, San Francisco Health System",
    "University of California, Los Angeles Health System",
    "University of California, Irvine Health System",
    "University of California, Davis Health System",
    "University of California, Berkeley Health System",
    "University of California, Santa Barbara Health System",
    "University of California, Santa Cruz Health System",
    "University of California, Riverside Health System"
  ],
  "user_reviews": [
    "Synthea has been instrumental in our research, providing realistic synthetic patient data that mirrors real-world scenarios.",
    "The ability to generate diverse patient populations has significantly enhanced our clinical trials.",
    "Synthea's open-source nature allows for easy customization to fit our specific needs.",
    "The documentation is comprehensive, making it straightforward to integrate Synthea into our systems.",
    "We've found Synthea to be a valuable tool for testing healthcare applications without compromising patient privacy.",
    "The community support around Synthea is robust, with active forums and regular updates.",
    "Synthea's scalability has allowed us to simulate large-scale healthcare systems effectively.",
    "The data generated by Synthea has been crucial in training our machine learning models for predictive analytics.",
    "Synthea's ability to model complex medical conditions has improved the accuracy of our simulations.",
    "The integration of Synthea with our existing data pipelines was seamless, thanks to its well-designed API."
  ],
  "ratings": [
    "Synthea has been instrumental in our research, providing realistic synthetic patient data that mirrors real-world scenarios.",
    "The ability to generate diverse patient populations has significantly enhanced our clinical trials.",
    "Synthea's open-source nature allows for easy customization to fit our specific needs.",
    "The documentation is comprehensive, making it straightforward to integrate Synthea into our systems.",
    "We've found Synthea to be a valuable tool for testing healthcare applications without compromising patient privacy.",
    "The community support around Synthea is robust, with active forums and regular updates.",
    "Synthea's scalability has allowed us to simulate large-scale healthcare systems effectively.",
    "The data generated by Synthea has been crucial in training our machine learning models for predictive analytics.",
    "Synthea's ability to model complex medical conditions has improved the accuracy of our simulations.",
    "The integration of Synthea with our existing data pipelines was seamless, thanks to its well-designed API."
  ],
  "support_channels": [
    "email",
    "community",
    "24x7"
  ],
  "training_options": [
    "documentation",
    "webinars",
    "live_online",
    "onsite",
    "certification"
  ],
  "release_year": "2015",
  "integration_partners": [
    "FHIR",
    "HL7",
    "OpenMRS",
    "OpenEHR",
    "Apache Kafka",
    "Apache Spark",
    "Docker",
    "Kubernetes",
    "AWS",
    "Google Cloud",
    "Microsoft Azure",
    "MongoDB",
    "PostgreSQL",
    "MySQL",
    "Elasticsearch",
    "Apache Hadoop",
    "Apache Flink",
    "Apache NiFi",
    "Apache Camel",
    "Apache ActiveMQ"
  ],
  "id": "SW2342",
  "slug": "synthea",
  "type": "product",
  "version": "1.0",
  "last_updated": "2025-10-11",
  "links_json": {
    "self": "https://www.healthaidb.com/software/synthea.json"
  }
}