Company profile

Bayesian Health

Generative AI & Healthcare Infrastructure

Company profile

About Bayesian Health

Bayesian Health is a clinical AI company that delivers real-time intelligence to healthcare providers, enabling proactive patient care at scale. Founded by Dr. Suchi Saria, a machine learning expert and health AI pioneer, the company was motivated by personal loss and decades of academic research to harness patient data for empowering care teams with actionable clinical signals. The platform serves as an AI layer that makes EHR systems clinically intelligent by reasoning like a clinician—integrating signals across the full patient chart, adjusting to each patient's baseline, and delivering early, targeted clinical guidance instead of noisy one-size-fits-all warnings. Bayesian Health's technology addresses top drivers of mortality and hospital utilization including sepsis, readmissions, patient deterioration, palliative care needs, transitions of care, heart failure, hospital-acquired pressure injuries, and malnutrition. The platform achieves 81% clinician adoption across customers live for 6+ months, with proven outcomes including 5.5% absolute mortality reduction and 1.9-day length of stay reduction in real-world data. The company has received FDA clearance for continuous AI sepsis monitoring and partners with leading health systems including Cleveland Clinic, where the platform achieved a 10x decrease in false alerts, 46% increase in identified sepsis cases, and 7x rise in cases alerted before antibiotics. Bayesian Health's approach is grounded in decades of peer-reviewed research and rigorous validation, focusing on supporting better real-time clinical judgment in the moments that matter most.

Company description Bayesian Health official website

Primary marketGenerative AI & Healthcare Infrastructure
Commercial modelCommercial information available on request
Company presenceOfficial website
Work at Bayesian Health?

Claim this profile to manage Company information and connect with the Health AI Central audience.

Claim this listing

01 · Operating footprint

Where the Company operates

Company-profile context for clinical focus, customers, deployment, integration, milestones, and partnerships.

Clinical focus

  • Heart failure
  • Hospital-acquired pressure injuries (HAPI)
  • Malnutrition
  • Palliative care needs
  • Patient deterioration
  • Readmissions
  • Sepsis
  • Transitions of care

Who it serves

  • Health Systems
  • Hospitals

Deployment & integration

Hybrid deployment with recorded integration context.

Recorded integration context: Epic.

Geographic context

MarketsUnited States
Company sourceOfficial website

Company milestones

Platform expansion

FDA clearance received for continuous AI sepsis monitoring. Cleveland Clinic deployed sepsis module enterprise-wide. Published 5-site study in Nature Medicine demonstrating mortality reduction.

Partnerships

Recorded partners

  • Cleveland Clinic

02 · Flagship portfolio

Products, workflows, and platform capabilities

Selected source-backed Company products and the available commercial context.

Bayesian Health Real-Time Clinical Intelligence Platform

AI layer that makes your EHR clinically intelligent with proactive patient monitoring

Platform · HybridCompany source

HAPI Prevention Module

Hospital-acquired pressure injury prevention and early detection

Software · HybridCompany source

Heart Failure Management Module

Ensures appropriate therapy for heart failure patients at discharge

Software · HybridCompany source

Malnutrition Detection Module

Identifies and documents hospital malnutrition cases

Software · HybridCompany source

Palliative Care Identification Module

Identifies patients who would benefit from palliative care services

Software · HybridCompany source

Patient Deterioration Module

Early detection of clinical deterioration to prevent unplanned ICU admissions

Software · HybridCompany source

Readmissions Risk Module

Proactive identification of patients at risk for 30-day readmission

Software · HybridCompany source

Sepsis Monitoring Module

FDA-cleared continuous AI sepsis detection with 3+ hour earlier lead time and 20x lower flag volume

Software · HybridCompany source

Transitions of Care Module

Optimizes care transitions and post-acute care planning

Software · HybridCompany source

03 · Research intelligence

Research Intelligence evidence

Publications, preprints, clinical validation, and regulatory records in Evidence Position order.

04 · Company-reported outcomes

Outcomes and case studies

Company-reported outcomes and customer stories are distinct from linked Research Intelligence evidence.

81% clinician adoption

Average across Bayesian Health clients live 6+ months

5.5% absolute mortality reduction

Real-world data across Bayesian customers

1.9 days length of stay reduction

Real-world data across Bayesian customers

89% adoption

5-site study published in Nature Medicine

3.3% absolute mortality reduction

5-site study published in Nature Medicine

0.5 days length of stay reduction

5-site study published in Nature Medicine

10x decrease in false alerts

Cleveland Clinic sepsis module implementation

46% increase in identified sepsis cases

Cleveland Clinic sepsis module implementation

7x rise in cases alerted before antibiotics

Cleveland Clinic sepsis module implementation

3+ hour earlier lead time

Compared to EHR-based algorithms

20x lower flag volume

Compared to EHR-based algorithms

Bayesian Health Customers (aggregate)

Real-world deployment of clinical intelligence platform across multiple health systems

81% clinician adoption, 5.5% absolute mortality reduction, 1.9 days length of stay reduction

Cleveland Clinic

Enterprise-wide sepsis detection and monitoring using Bayesian's sepsis module

10x decrease in false alerts, 46% increase in identified sepsis cases, 7x rise in cases alerted before antibiotics

Health system using Epic sepsis algorithm

Comparison study showing Bayesian's superior performance vs EHR-based sepsis detection

3+ hour earlier lead time, 20x lower flag volume compared to Epic sepsis algorithm, less than 1% adoption of previous tools vs 81%+ with Bayesian

Multi-site health system (5 sites)

Sepsis mortality reduction study published in Nature Medicine

89% adoption, 3.3% absolute mortality reduction, 0.5 days length of stay reduction

05 · Leadership

Leadership team

Leadership profiles and professional links from the current Company record.

Conrad Gleber

Associate Chief Medical Information Officer

06 · Company updates

Updates from Bayesian Health

Recent articles published on Bayesian Health's official website.

No Company updates are currently listed.

07 · HAIC coverage

Coverage and analysis

Health AI Central reporting that mentions this Company.

No HAIC coverage is currently linked to this Company.

08 · Official presence

Company sources and channels

Curated official destinations from the active Company record.

09 · Market pathway

Additional Companies in this Market

Other active Companies in the same market, selected alphabetically from the HAIC directory.

Market context

Generative AI & Healthcare Infrastructure

Companies providing generative AI platforms, large language models (LLMs), foundation models, or broad AI infrastructure specifically designed for healthcare applications. These companies serve multiple clinical use cases across the health system rather than focusing on a single clinical application or disease area.

Explore the full market directory or compare this Company with additional active profiles.

View all Companies in this market

10 · Pro research

Coming soon

Expanded Company research is in development.

Health AI Central Pro · Coming Soon

Deeper Company research is coming soon.

Pro Research will introduce expanded technical context, linked evidence analysis, and comparative Company research.

ResearchEvidence analysis

Linked research, clinical, and regulatory source pathways.

CompanyTechnical context

Expanded product, deployment, integration, and partnership research.

MethodSource & review record

Record-level provenance and review context.

Coming Soon