Synapsis AI

JSON twin: https://www.healthaidb.com/software/synapsis-ai.json

Company Name

Dyania Health

Product URL

https://dyaniahealth.com

Company URL

https://dyaniahealth.com

Categories

• clinical Care
• administrative Operations
• patient Facing
• diagnostic Support
• Clinical
• Administrative
• Diagnostic

Summary

Synapsis AI by Dyania Health is an AI-driven platform that automates the analysis of electronic medical records (EMRs), enabling rapid and accurate clinical insights for healthcare systems.

Description

Synapsis AI leverages a proprietary large language model (LLM) to process both structured and unstructured medical data, including physician notes, pathology reports, and imaging notes. It operates within healthcare systems' firewalls, ensuring data privacy and compliance with regulations like HIPAA and GDPR. The platform delivers insights approximately 15,000 times faster than human professionals, analyzing an EMR in under 0.5 seconds with over 95% accuracy. Applications include clinical trial pre-screening, automated chart reviews for observational studies, and registry reporting. Notably, Cleveland Clinic has integrated Synapsis AI across its clinical research enterprise, demonstrating its effectiveness in accelerating patient identification for clinical trials. ([newsroom.clevelandclinic.org](https://newsroom.clevelandclinic.org/2025/08/27/cleveland-clinic-accelerates-clinical-trial-recruitment-with-roll-out-of-dyania-healths-artificial-intelligence-platform-across-health-system?utm_source=openai))

Api Available

unknown

Certifications

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

Company Founding

2019

Company Offices

• United States
• Greece

Compliance

• HIPAA
• HITRUST
• GDPR

Customers

Data Residency

Runs inside customer health system environment / private cloud (data residency determined by customer infrastructure)

Data Standards

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

Deployment Model

• on_prem
• private_cloud
• closed_system

Features

• Automated EMR chart review (structured and unstructured data)
• Clinical question answering / precision clinical reasoning
• Disease-agnostic support (oncology, cardiology, autoimmune, etc.)
• High-throughput scaling for millions of patients
• Physician-in-the-loop model training and validation
• Pre-trained medical LLM with fine-tuning on annotated cases
• Clinical trial eligibility matching / patient identification
• Explainability/support justification linked to EMR evidence
• Human review workflow for hallucination correction
• Accuracy measurement vs physician consensus

Id

SW1252

Integration Partners

Integrations

• Electronic Medical Records (EMR) systems
• Clinical research systems
• Imaging and pathology ingestion

Languages Supported

• English
• Greek

Last Updated

2025-10-11

License

Commercial

Market Segment

• Enterprise
• SMB

Optional Modules

• Patient Finder™
• Registries reporting
• Observational studies
• Study feasibility
• Evidence-guided care pathways

Os Platforms

• Web
• iOS
• Android

Pricing Details

Contact vendor for pricing information.

Pricing Model

Subscription

Privacy Features

• BAA available
• consent mgmt
• anonymization
• data minimization

Product Code

SW1252

Product Name

Synapsis AI

Ratings

Regions Available

• United States
• Greece
• Global

Related Urls

• https://www.endeavor.org.gr/companies/dyania-health-inc
• https://www.linkedin.com/company/dyaniahealth
• https://peterson.ventureradar.com/organisation/Dyania%20Health/f614d0a9-7508-46b1-98ec-7be9c37c4b8f
• https://www.medicalstartups.org/startup/dyaniahealth/
• https://www.whoraised.io/company/dyania-health
• https://scamminder.com/websites/dyaniahealth.com/
• https://ecosystem.brnoregion.com/companies/dyania_health
• https://elion.health/products/dyania-health

Release Year

Security Features

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

Specialties

• Oncology
• Cardiology
• Autoimmune Conditions
• Neurology
• General Medicine

Support Channels

System Requirements

Installed within health system firewall or private cloud; operates as a closed system behind health system firewalls

Target Users

• Clinicians
• Researchers
• Healthcare Administrators
• Pharmaceutical Sponsors

Training Options

Type

product

User Reviews

Version

1.0

Alternatives

See related products

Canonical JSON

{
  "product_name": "Synapsis AI",
  "company_name": "Dyania Health",
  "product_url": "https://dyaniahealth.com",
  "company_url": "https://dyaniahealth.com",
  "related_urls": [
    "https://www.endeavor.org.gr/companies/dyania-health-inc",
    "https://www.linkedin.com/company/dyaniahealth",
    "https://peterson.ventureradar.com/organisation/Dyania%20Health/f614d0a9-7508-46b1-98ec-7be9c37c4b8f",
    "https://www.medicalstartups.org/startup/dyaniahealth/",
    "https://www.whoraised.io/company/dyania-health",
    "https://scamminder.com/websites/dyaniahealth.com/",
    "https://ecosystem.brnoregion.com/companies/dyania_health",
    "https://elion.health/products/dyania-health"
  ],
  "product_code": "SW1252",
  "summary": "Synapsis AI by Dyania Health is an AI-driven platform that automates the analysis of electronic medical records (EMRs), enabling rapid and accurate clinical insights for healthcare systems.",
  "description": "Synapsis AI leverages a proprietary large language model (LLM) to process both structured and unstructured medical data, including physician notes, pathology reports, and imaging notes. It operates within healthcare systems' firewalls, ensuring data privacy and compliance with regulations like HIPAA and GDPR. The platform delivers insights approximately 15,000 times faster than human professionals, analyzing an EMR in under 0.5 seconds with over 95% accuracy. Applications include clinical trial pre-screening, automated chart reviews for observational studies, and registry reporting. Notably, Cleveland Clinic has integrated Synapsis AI across its clinical research enterprise, demonstrating its effectiveness in accelerating patient identification for clinical trials. ([newsroom.clevelandclinic.org](https://newsroom.clevelandclinic.org/2025/08/27/cleveland-clinic-accelerates-clinical-trial-recruitment-with-roll-out-of-dyania-healths-artificial-intelligence-platform-across-health-system?utm_source=openai))",
  "categories": [
    "clinical Care",
    "administrative Operations",
    "patient Facing",
    "diagnostic Support",
    "Clinical",
    "Administrative",
    "Patient-facing",
    "Diagnostic"
  ],
  "market_segment": [
    "Enterprise",
    "SMB"
  ],
  "target_users": [
    "Clinicians",
    "Researchers",
    "Healthcare Administrators",
    "Pharmaceutical Sponsors"
  ],
  "specialties": [
    "Oncology",
    "Cardiology",
    "Autoimmune Conditions",
    "Neurology",
    "General Medicine"
  ],
  "regions_available": [
    "United States",
    "Greece",
    "Global"
  ],
  "languages_supported": [
    "English",
    "Greek"
  ],
  "pricing_model": "Subscription",
  "pricing_details": "Contact vendor for pricing information.",
  "license": "Commercial",
  "company_offices": [
    "United States",
    "Greece"
  ],
  "company_founding": "2019",
  "deployment_model": [
    "on_prem",
    "private_cloud",
    "closed_system"
  ],
  "os_platforms": [
    "Web",
    "iOS",
    "Android"
  ],
  "features": [
    "Automated EMR chart review (structured and unstructured data)",
    "Clinical question answering / precision clinical reasoning",
    "Disease-agnostic support (oncology, cardiology, autoimmune, etc.)",
    "High-throughput scaling for millions of patients",
    "Physician-in-the-loop model training and validation",
    "Pre-trained medical LLM with fine-tuning on annotated cases",
    "Clinical trial eligibility matching / patient identification",
    "Explainability/support justification linked to EMR evidence",
    "Human review workflow for hallucination correction",
    "Accuracy measurement vs physician consensus"
  ],
  "optional_modules": [
    "Patient Finder™",
    "Registries reporting",
    "Observational studies",
    "Study feasibility",
    "Evidence-guided care pathways"
  ],
  "integrations": [
    "Electronic Medical Records (EMR) systems",
    "Clinical research systems",
    "Imaging and pathology ingestion"
  ],
  "data_standards": [
    "FHIR",
    "HL7 v2",
    "DICOM",
    "SNOMED",
    "ICD-10"
  ],
  "api_available": "unknown",
  "system_requirements": "Installed within health system firewall or private cloud; operates as a closed system behind health system firewalls",
  "compliance": [
    "HIPAA",
    "HITRUST",
    "GDPR"
  ],
  "certifications": [
    "FDA 510(k)",
    "CE/MDR",
    "ONC",
    "ISO 27001"
  ],
  "security_features": [
    "Encryption",
    "RBAC",
    "SSO/SAML",
    "audit logs",
    "2FA",
    "DLP"
  ],
  "privacy_features": [
    "BAA available",
    "consent mgmt",
    "anonymization",
    "data minimization"
  ],
  "data_residency": "Runs inside customer health system environment / private cloud (data residency determined by customer infrastructure)",
  "customers": [],
  "user_reviews": [],
  "ratings": [],
  "support_channels": [],
  "training_options": [],
  "release_year": "",
  "integration_partners": [],
  "id": "SW1252",
  "slug": "synapsis-ai",
  "type": "product",
  "version": "1.0",
  "last_updated": "2025-10-11",
  "links_json": {
    "self": "https://www.healthaidb.com/software/synapsis-ai.json"
  }
}