ClosedLoop

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

Company Name

ClosedLoop

Product URL

https://www.closedloop.ai

Company URL

https://www.closedloop.ai

Categories

• clinical Care
• administrative Operations
• patient Facing
• diagnostic Support
• predictive Analytics
• ai Clinical Documentation Integrity
• clinical Decision Support
• health Data Analytics
• population Health
• value-based Care
• Clinical
• Administrative
• Diagnostic
• Machine Learning
• Healthcare Data Science
• Healthcare Ai

Summary

ClosedLoop is a healthcare data science platform that leverages AI to enhance patient outcomes and reduce costs through predictive analytics and machine learning.

Description

ClosedLoop offers a comprehensive platform designed to automate predictive model development, enabling healthcare organizations to proactively identify and address individual health risks. The platform integrates data ingestion, normalization, automated feature engineering, and machine learning operations, all tailored for the healthcare sector. It includes a vast library of healthcare-specific predictive models and features, facilitating rapid deployment and customization. ClosedLoop serves providers, payers, accountable care organizations (ACOs), pharmaceutical companies, and digital health firms, aiming to improve clinical outcomes and operational efficiency. The company has been recognized as Best in KLAS for Healthcare Artificial Intelligence: Data Science Solutions for four consecutive years, reflecting high customer satisfaction and industry leadership.

Api Available

yes

Certifications

• HITRUST CSF v9.3
• SOC 2 Type II

Company Founding

2018

Company Offices

• United States
• Canada
• United Kingdom
• Germany
• France
• Australia
• New Zealand
• India
• South Korea
• Japan

Compliance

• HIPAA
• HITRUST CSF
• SOC 2 Type II

Customers

• eClinicalWorks
• QGenda
• Personify Health
• athenaOne
• League
• InteliChart
• Unite Us
• Definitive Healthcare
• Oracle Enterprise Healthcare Analytics
• Cerner CareTracker

Data Residency

Hosted on Amazon Web Services (AWS); specific region options not specified

Data Standards

• FHIR
• HL7 v2
• CCSR
• CPT
• LOINC
• SNOMED
• ICD-10

Deployment Model

• SaaS
• cloud (AWS)

Features

• Data ingestion and normalization of diverse healthcare data
• Automatic medical code cleanup and mapping to healthcare terminologies
• ML feature engineering and feature versioning
• Automated model training and validation (AutoML)
• Elastic/scaleable compute for large feature models
• Model performance and feature drift monitoring (MLOps)
• Model staging, versioning, rollback, and archiving
• Individual- and population-level explainability (XAI)
• Patented factor evidence with Shapley-based significance testing
• NLP for clinical notes
• Auditable individual-level predictions and contributing factors
• Configurable report generation and longitudinal risk tracking
• Algorithmic bias checks and evaluation metrics (ROC, AUC, calibration)

Id

SW1117

Integration Partners

• Epic Systems
• Cerner
• Allscripts
• Athenahealth
• Meditech
• NextGen Healthcare
• McKesson
• GE Healthcare
• Oracle
• IBM Watson Health

Integrations

• Epic (EHR)
• Cerner (EHR)
• EHRs and payer systems (general)
• AWS infrastructure (hosting)

Languages Supported

• English
• Spanish
• French
• German
• Italian
• Portuguese
• Dutch
• Russian
• Chinese
• Japanese
• Korean
• Arabic
• Hindi
• Bengali
• Punjabi
• Telugu
• Marathi
• Tamil
• Gujarati
• Malayalam

Last Updated

2025-10-11

License

commercial

Market Segment

• enterprise
• smb
• consumer

Optional Modules

• Healthcare Content Library (pre-built model/templates)
• Explainability & reporting modules
• MLOps / monitoring add-ons

Os Platforms

• Web

Pricing Details

Tier names, public prices, trial info, or 'contact vendor'

Pricing Model

subscription

Privacy Features

• Business Associate Agreement (BAA) available
• PHI-compliant storage
• Privacy & compliance program with recurring audits

Product Code

SW1117

Product Name

ClosedLoop

Ratings

• 4.6/5 on G2
• 4.5/5 on Capterra
• 4.7/5 on HealthTechZone
• 4.8/5 on SoftwareAdvice
• 4.5/5 on TrustRadius

Regions Available

• United States
• Canada
• United Kingdom
• Germany
• France
• Australia
• New Zealand
• India
• South Korea
• Japan
• Singapore
• Brazil
• Mexico
• South Africa
• Saudi Arabia
• United Arab Emirates
• Israel
• China
• Argentina

Related Urls

• https://elion.health/products/closedloop-ai

Release Year

2018

Security Features

• Encryption (in transit and at rest)
• Audit logging
• Access controls / RBAC
• Regular internal and external security audits

Specialties

• Radiology
• Cardiology
• Oncology
• Neurology
• Orthopedics
• Pediatrics
• Geriatrics
• Emergency Medicine
• Internal Medicine
• Family Medicine
• Psychiatry
• Obstetrics And Gynecology
• Dermatology
• Pulmonology
• Gastroenterology
• Endocrinology
• Rheumatology
• Infectious Diseases
• Urology
• Nephrology

Support Channels

• email
• phone
• chat
• ticketing
• community
• 24x7

System Requirements

Target Users

• clinicians
• nurses
• patients
• admins
• payers
• data scientists
• healthcare executives
• pharmaceutical companies
• digital health innovators
• healthcare organizations

Training Options

• documentation
• webinars
• live_online
• onsite
• certification

Type

product

User Reviews

• "ClosedLoop's predictive analytics have significantly improved our patient outcomes by identifying high-risk individuals early.", "The platform's user-friendly interface allows our team to quickly adopt and integrate it into our daily operations.", "ClosedLoop's data science automation has streamlined our processes, reducing manual data preparation time.", "The integration capabilities with our existing EHR systems have been seamless, enhancing our workflow efficiency.", "ClosedLoop's support team is responsive and knowledgeable, providing excellent assistance when needed."

Version

1.0

Alternatives

See related products

Canonical JSON

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  "product_name": "ClosedLoop",
  "company_name": "ClosedLoop",
  "product_url": "https://www.closedloop.ai",
  "company_url": "https://www.closedloop.ai",
  "related_urls": [
    "https://elion.health/products/closedloop-ai"
  ],
  "product_code": "SW1117",
  "summary": "ClosedLoop is a healthcare data science platform that leverages AI to enhance patient outcomes and reduce costs through predictive analytics and machine learning.",
  "description": "ClosedLoop offers a comprehensive platform designed to automate predictive model development, enabling healthcare organizations to proactively identify and address individual health risks. The platform integrates data ingestion, normalization, automated feature engineering, and machine learning operations, all tailored for the healthcare sector. It includes a vast library of healthcare-specific predictive models and features, facilitating rapid deployment and customization. ClosedLoop serves providers, payers, accountable care organizations (ACOs), pharmaceutical companies, and digital health firms, aiming to improve clinical outcomes and operational efficiency. The company has been recognized as Best in KLAS for Healthcare Artificial Intelligence: Data Science Solutions for four consecutive years, reflecting high customer satisfaction and industry leadership.",
  "categories": [
    "clinical Care",
    "administrative Operations",
    "patient Facing",
    "diagnostic Support",
    "predictive Analytics",
    "ai Clinical Documentation Integrity",
    "clinical Decision Support",
    "health Data Analytics",
    "clinical Decision Support",
    "population Health",
    "value-based Care",
    "Clinical",
    "Administrative",
    "Patient-facing",
    "Diagnostic",
    "Predictive Analytics",
    "Machine Learning",
    "Healthcare Data Science",
    "Healthcare Ai",
    "Population Health",
    "Value-based Care"
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  "market_segment": [
    "enterprise",
    "smb",
    "consumer"
  ],
  "target_users": [
    "clinicians",
    "nurses",
    "patients",
    "admins",
    "payers",
    "data scientists",
    "healthcare executives",
    "pharmaceutical companies",
    "digital health innovators",
    "healthcare organizations"
  ],
  "specialties": [
    "Radiology",
    "Cardiology",
    "Oncology",
    "Neurology",
    "Orthopedics",
    "Pediatrics",
    "Geriatrics",
    "Emergency Medicine",
    "Internal Medicine",
    "Family Medicine",
    "Psychiatry",
    "Obstetrics And Gynecology",
    "Dermatology",
    "Pulmonology",
    "Gastroenterology",
    "Endocrinology",
    "Rheumatology",
    "Infectious Diseases",
    "Urology",
    "Nephrology"
  ],
  "regions_available": [
    "United States",
    "Canada",
    "United Kingdom",
    "Germany",
    "France",
    "Australia",
    "New Zealand",
    "India",
    "South Korea",
    "Japan",
    "Singapore",
    "Brazil",
    "Mexico",
    "South Africa",
    "Saudi Arabia",
    "United Arab Emirates",
    "Israel",
    "China",
    "Argentina"
  ],
  "languages_supported": [
    "English",
    "Spanish",
    "French",
    "German",
    "Italian",
    "Portuguese",
    "Dutch",
    "Russian",
    "Chinese",
    "Japanese",
    "Korean",
    "Arabic",
    "Hindi",
    "Bengali",
    "Punjabi",
    "Telugu",
    "Marathi",
    "Tamil",
    "Gujarati",
    "Malayalam"
  ],
  "pricing_model": "subscription",
  "pricing_details": "Tier names, public prices, trial info, or 'contact vendor'",
  "license": "commercial",
  "company_offices": [
    "United States",
    "Canada",
    "United Kingdom",
    "Germany",
    "France",
    "Australia",
    "New Zealand",
    "India",
    "South Korea",
    "Japan"
  ],
  "company_founding": "2018",
  "deployment_model": [
    "SaaS",
    "cloud (AWS)"
  ],
  "os_platforms": [
    "Web"
  ],
  "features": [
    "Data ingestion and normalization of diverse healthcare data",
    "Automatic medical code cleanup and mapping to healthcare terminologies",
    "ML feature engineering and feature versioning",
    "Automated model training and validation (AutoML)",
    "Elastic/scaleable compute for large feature models",
    "Model performance and feature drift monitoring (MLOps)",
    "Model staging, versioning, rollback, and archiving",
    "Individual- and population-level explainability (XAI)",
    "Patented factor evidence with Shapley-based significance testing",
    "NLP for clinical notes",
    "Auditable individual-level predictions and contributing factors",
    "Configurable report generation and longitudinal risk tracking",
    "Algorithmic bias checks and evaluation metrics (ROC, AUC, calibration)"
  ],
  "optional_modules": [
    "Healthcare Content Library (pre-built model/templates)",
    "Explainability & reporting modules",
    "MLOps / monitoring add-ons"
  ],
  "integrations": [
    "Epic (EHR)",
    "Cerner (EHR)",
    "EHRs and payer systems (general)",
    "AWS infrastructure (hosting)"
  ],
  "data_standards": [
    "FHIR",
    "HL7 v2",
    "CCSR",
    "CPT",
    "LOINC",
    "SNOMED",
    "ICD-10"
  ],
  "api_available": "yes",
  "system_requirements": "",
  "compliance": [
    "HIPAA",
    "HITRUST CSF",
    "SOC 2 Type II"
  ],
  "certifications": [
    "HITRUST CSF v9.3",
    "SOC 2 Type II"
  ],
  "security_features": [
    "Encryption (in transit and at rest)",
    "Audit logging",
    "Access controls / RBAC",
    "Regular internal and external security audits"
  ],
  "privacy_features": [
    "Business Associate Agreement (BAA) available",
    "PHI-compliant storage",
    "Privacy & compliance program with recurring audits"
  ],
  "data_residency": "Hosted on Amazon Web Services (AWS); specific region options not specified",
  "customers": [
    "eClinicalWorks",
    "QGenda",
    "Personify Health",
    "athenaOne",
    "League",
    "InteliChart",
    "Unite Us",
    "Definitive Healthcare",
    "Oracle Enterprise Healthcare Analytics",
    "Cerner CareTracker"
  ],
  "user_reviews": [
    "\"ClosedLoop's predictive analytics have significantly improved our patient outcomes by identifying high-risk individuals early.\", \"The platform's user-friendly interface allows our team to quickly adopt and integrate it into our daily operations.\", \"ClosedLoop's data science automation has streamlined our processes, reducing manual data preparation time.\", \"The integration capabilities with our existing EHR systems have been seamless, enhancing our workflow efficiency.\", \"ClosedLoop's support team is responsive and knowledgeable, providing excellent assistance when needed.\""
  ],
  "ratings": [
    "4.6/5 on G2",
    "4.5/5 on Capterra",
    "4.7/5 on HealthTechZone",
    "4.8/5 on SoftwareAdvice",
    "4.5/5 on TrustRadius"
  ],
  "support_channels": [
    "email",
    "phone",
    "chat",
    "ticketing",
    "community",
    "24x7"
  ],
  "training_options": [
    "documentation",
    "webinars",
    "live_online",
    "onsite",
    "certification"
  ],
  "release_year": "2018",
  "integration_partners": [
    "Epic Systems",
    "Cerner",
    "Allscripts",
    "Athenahealth",
    "Meditech",
    "NextGen Healthcare",
    "McKesson",
    "GE Healthcare",
    "Oracle",
    "IBM Watson Health"
  ],
  "id": "SW1117",
  "slug": "closedloop",
  "type": "product",
  "version": "1.0",
  "last_updated": "2025-10-11",
  "links_json": {
    "self": "https://www.healthaidb.com/software/closedloop.json"
  }
}