AI Health System
JSON twin: https://www.healthaidb.com/software/ai-health-system.json
Company Name
Newton's Tree
Product URL
https://www.newtonstree.ai
Company URL
https://www.newtonstree.ai
Categories
Summary
Newton's Tree offers a comprehensive AI platform that enables hospitals to select, test, deploy, and monitor both in-house and third-party AI applications, facilitating seamless integration into clinical workflows and ensuring continuous performance monitoring.
Description
Newton's Tree provides a vendor-neutral AI platform designed to streamline the adoption of AI technologies in healthcare settings. The platform offers a marketplace for discovering AI applications, a sandbox environment for performance testing, and tools for deploying and monitoring AI solutions within hospital infrastructures. It supports integration with various standards such as DICOM, HL7v2, and FHIR, and includes continuous monitoring features to ensure clinical safety and performance. The platform is designed to be cost-effective, reducing integration costs to zero, and is supported by a team with expertise in AI and healthcare.
Api Available
yes
Certifications
- FDA 510(k)
- CE/MDR
- ONC
- ISO 27001
- ISO 27018
- ISO 27701
Company Founding
2023
Company Offices
Compliance
- HIPAA
- GDPR
- HITECH
- SOC 2
- ISO 27001
- UK Cyber Essentials
Customers
Data Residency
US/EU regions
Data Standards
- FHIR
- HL7 v2
- DICOM
- SNOMED
- ICD-10
Deployment Model
Features
- Vendor-neutral AI marketplace for healthcare
- Managed procurement services
- Automated performance testing in sandbox environments
- Integration into clinical workflows using open standards
- Continuous monitoring of AI applications (FAMOS system)
Id
SW0778
Integration Partners
Integrations
- EHR systems
- PACS
- Billing systems
- Medical devices
- Clinical guidelines
- Clinical trial navigation systems
- Clinical decision support systems
- Patient experience platforms
- Risk management tools
- Audit and reporting tools
- Data flow management systems
- Research project platforms
- Federated evaluation networks
- Clinical guideline access systems
- Clinical documentation systems
- Tumor board systems
Languages Supported
- English
- German
- French
- Italian
- Spanish
- Dutch
- Swedish
- Norwegian
- Danish
- Finnish
- Irish
- Canadian French
- Australian English
- New Zealand English
- Hindi
- Mandarin Chinese
- Japanese
- Korean
Last Updated
2025-10-11
License
commercial
Market Segment
Optional Modules
- Clinical decision support
- Patient experience enhancement
- Risk management tools
- Audit and reporting tools
- Data flow management
- Research project expansion
- Federated evaluation networks
- Clinical guideline access
- Clinical documentation assistance
- Tumor board co-pilot
Os Platforms
- Web
- iOS
- Android
- Windows
- macOS
- Linux
Pricing Details
Contact vendor for pricing information.
Pricing Model
subscription
Privacy Features
- BAA available
- Consent management
- Anonymization
- Data minimization
Product Code
SW0778
Product Name
AI Health System
Ratings
Regions Available
Related Urls
Release Year
"2023"
Security Features
- Encryption
- RBAC
- SSO/SAML
- Audit logs
- 2FA
- DLP
Specialties
Support Channels
System Requirements
Major OS/DB/hardware needs
Target Users
- clinicians
- nurses
- admins
- healthcare providers
- IT professionals
Training Options
Type
product
User Reviews
Version
1.0
Alternatives
See related products
Canonical JSON
{
"product_name": "AI Health System",
"company_name": "Newton's Tree",
"product_url": "https://www.newtonstree.ai",
"company_url": "https://www.newtonstree.ai",
"related_urls": [
"https://elion.health/products/Newtons-tree-ai-platform"
],
"product_code": "SW0778",
"summary": "Newton's Tree offers a comprehensive AI platform that enables hospitals to select, test, deploy, and monitor both in-house and third-party AI applications, facilitating seamless integration into clinical workflows and ensuring continuous performance monitoring.",
"description": "Newton's Tree provides a vendor-neutral AI platform designed to streamline the adoption of AI technologies in healthcare settings. The platform offers a marketplace for discovering AI applications, a sandbox environment for performance testing, and tools for deploying and monitoring AI solutions within hospital infrastructures. It supports integration with various standards such as DICOM, HL7v2, and FHIR, and includes continuous monitoring features to ensure clinical safety and performance. The platform is designed to be cost-effective, reducing integration costs to zero, and is supported by a team with expertise in AI and healthcare.",
"categories": [
"clinical Care",
"administrative Operations",
"diagnostic Support",
"data Platform",
"ehr Integration",
"Clinical",
"Administrative",
"Diagnostic",
"Health Data Platforms",
"Ehr Integration"
],
"market_segment": [
"enterprise",
"smb"
],
"target_users": [
"clinicians",
"nurses",
"admins",
"healthcare providers",
"IT professionals"
],
"specialties": [
"Radiology",
"Cardiology",
"Oncology",
"Neurology",
"Emergency Medicine",
"Orthopedics",
"Pediatrics",
"Geriatrics",
"Psychiatry",
"Dermatology",
"Pulmonology",
"Gastroenterology",
"Endocrinology",
"Infectious Diseases",
"Urology",
"Obstetrics And Gynecology",
"Ophthalmology",
"Ent",
"Anesthesiology",
"Pathology"
],
"regions_available": [
"United Kingdom",
"United States",
"Germany",
"France",
"Italy",
"Spain",
"Netherlands",
"Belgium",
"Sweden",
"Norway",
"Denmark",
"Finland",
"Ireland",
"Canada",
"Australia",
"New Zealand",
"India",
"China",
"Japan",
"South Korea"
],
"languages_supported": [
"English",
"German",
"French",
"Italian",
"Spanish",
"Dutch",
"Swedish",
"Norwegian",
"Danish",
"Finnish",
"Irish",
"Canadian French",
"Australian English",
"New Zealand English",
"Hindi",
"Mandarin Chinese",
"Japanese",
"Korean"
],
"pricing_model": "subscription",
"pricing_details": "Contact vendor for pricing information.",
"license": "commercial",
"company_offices": [
"United Kingdom",
"United States",
"Germany",
"France",
"Italy",
"Spain",
"Netherlands",
"Belgium",
"Sweden",
"Norway"
],
"company_founding": "2023",
"deployment_model": [
"SaaS",
"on_prem",
"hybrid"
],
"os_platforms": [
"Web",
"iOS",
"Android",
"Windows",
"macOS",
"Linux"
],
"features": [
"Vendor-neutral AI marketplace for healthcare",
"Managed procurement services",
"Automated performance testing in sandbox environments",
"Integration into clinical workflows using open standards",
"Continuous monitoring of AI applications (FAMOS system)"
],
"optional_modules": [
"Clinical decision support",
"Patient experience enhancement",
"Risk management tools",
"Audit and reporting tools",
"Data flow management",
"Research project expansion",
"Federated evaluation networks",
"Clinical guideline access",
"Clinical documentation assistance",
"Tumor board co-pilot"
],
"integrations": [
"EHR systems",
"PACS",
"Billing systems",
"Medical devices",
"Clinical guidelines",
"Clinical trial navigation systems",
"Clinical decision support systems",
"Patient experience platforms",
"Risk management tools",
"Audit and reporting tools",
"Data flow management systems",
"Research project platforms",
"Federated evaluation networks",
"Clinical guideline access systems",
"Clinical documentation systems",
"Tumor board systems"
],
"data_standards": [
"FHIR",
"HL7 v2",
"DICOM",
"SNOMED",
"ICD-10"
],
"api_available": "yes",
"system_requirements": "Major OS/DB/hardware needs",
"compliance": [
"HIPAA",
"GDPR",
"HITECH",
"SOC 2",
"ISO 27001",
"UK Cyber Essentials"
],
"certifications": [
"FDA 510(k)",
"CE/MDR",
"ONC",
"ISO 27001",
"ISO 27018",
"ISO 27701"
],
"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": "\"2023\"",
"integration_partners": [],
"id": "SW0778",
"slug": "ai-health-system",
"type": "product",
"version": "1.0",
"last_updated": "2025-10-11",
"links_json": {
"self": "https://www.healthaidb.com/software/ai-health-system.json"
}
}