bayesian-health

JSON twin: https://www.healthaidb.com/software/bayesian-health.json

Company Name

Bayesian Health

Product URL

https://www.bayesianhealth.com/our-platform/

Company URL

https://www.bayesianhealth.com

Categories

Summary

Bayesian Health provides an adaptive AI clinical decision-support platform that continuously monitors EHR data to detect early signs of patient deterioration and deliver actionable alerts into clinical workflows.

Description

An AI-driven inpatient risk monitoring and decision-support system that ingests vitals, labs, notes and other EHR data to predict deterioration (eg, sepsis, pressure ulcers), surface real-time risk alerts in existing workflows (Epic, Cerner), capture clinician feedback, and adapt models over time to improve performance. Commercially oriented toward hospitals and health systems and supported by peer-reviewed research.

Api Available

yes

Certifications

Company Founding

2016

Company Offices

Compliance

Customers

Data Residency

Data Standards

Deployment Model

Features

Id

P0208

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 licensing, implementation, and deployment pricing; demos available via vendor.

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": "Bayesian Health",
  "company_url": "https://www.bayesianhealth.com",
  "company_offices": [
    "United States"
  ],
  "company_founding": "2016",
  "product_url": "https://www.bayesianhealth.com/our-platform/",
  "categories": [
    "AI Inpatient Risk Monitoring",
    "Clinical decision support",
    "Inpatient monitoring"
  ],
  "market_segment": [
    "enterprise"
  ],
  "links": [
    "https://www.bayesianhealth.com",
    "https://www.bayesianhealth.com/our-platform/",
    "https://www.bayesianhealth.com/about/",
    "https://www.bayesianhealth.com/why-bayesian/",
    "https://www.bayesianhealth.com/sepsis-case-study/",
    "https://www.bayesianhealth.com/contact/",
    "https://elion.health/products/bayesian-health",
    "https://www.linkedin.com/company/bayesian-health/",
    "https://www.crunchbase.com/organization/bayesian-health",
    "https://www.bayesianhealth.com/insights/"
  ],
  "summary": "Bayesian Health provides an adaptive AI clinical decision-support platform that continuously monitors EHR data to detect early signs of patient deterioration and deliver actionable alerts into clinical workflows.",
  "description": "An AI-driven inpatient risk monitoring and decision-support system that ingests vitals, labs, notes and other EHR data to predict deterioration (eg, sepsis, pressure ulcers), surface real-time risk alerts in existing workflows (Epic, Cerner), capture clinician feedback, and adapt models over time to improve performance. Commercially oriented toward hospitals and health systems and supported by peer-reviewed research.",
  "target_users": [
    "physicians",
    "nurses",
    "care teams",
    "clinical informaticists",
    "hospital administrators",
    "quality & safety teams",
    "health systems",
    "risk managers"
  ],
  "specialties": [
    "inpatient medicine",
    "critical care",
    "emergency medicine",
    "hospital medicine",
    "sepsis detection",
    "wound care / pressure ulcer prevention",
    "perioperative monitoring"
  ],
  "regions_available": [
    "United States"
  ],
  "languages_supported": [
    "English"
  ],
  "pricing_model": "enterprise_quote",
  "pricing_details": "Contact vendor for licensing, implementation, and deployment pricing; demos available via vendor.",
  "license": "commercial proprietary",
  "features": [
    "Real-time clinical early warning signals (TREWS)",
    "Continuous monitoring of vitals and labs",
    "Patient risk scoring and prioritization",
    "Contextualized alerts with clinical rationale",
    "Integration into existing EMR workflows",
    "Model monitoring and performance tuning over time",
    "Physician-facing adoption/engagement workflow",
    "Outcome and adoption analytics"
  ],
  "integrations": [
    "Epic",
    "Cerner"
  ],
  "deployment_model": [
    "SaaS"
  ],
  "os_platforms": [
    "Web"
  ],
  "optional_modules": [],
  "data_standards": [],
  "api_available": "yes",
  "system_requirements": "",
  "compliance": [],
  "certifications": [
    "FDA Breakthrough Device Designation"
  ],
  "security_features": [
    "Encryption for data in transit",
    "Encryption for data at rest",
    "Access controls / least-privilege access"
  ],
  "privacy_features": [
    "Data access limited to authorized personnel",
    "Encryption for sensitive data",
    "Privacy policy governing data use"
  ],
  "data_residency": "",
  "customers": [
    "Johns Hopkins Health System"
  ],
  "user_reviews": [],
  "ratings": [],
  "support_channels": [
    "email"
  ],
  "training_options": [
    "documentation",
    "webinars"
  ],
  "release_year": "2016",
  "integration_partners": [
    "Epic",
    "Cerner"
  ],
  "id": "P0208",
  "slug": "bayesian-health",
  "type": "product",
  "version": "1.0",
  "last_updated": "2025-09-07",
  "links_json": {
    "self": "https://www.healthaidb.com/software/bayesian-health.json"
  }
}