Bayesian Health Sepsis Flagging Device

by Bayesian Health, Inc.  · Based in United States → — The real-time clinical intelligence platform that helps health systems deliver proactive, highly-reliable care.
Critical Care Hospital Medicine Infectious Disease

Subscription-based platform

Overview

Bayesian Health develops an adaptive AI platform called Active Clinical Awareness that analyzes healthcare data to provide real-time clinical insights for care teams. The company’s software applies artificial intelligence and machine learning to multi-layered clinical data sets to offer real-time access to inferences that make care safer and more efficient, enabling healthcare providers to make patient-specific data-driven decisions in highly complex clinical areas. The platform is designed to empower providers with the ability to identify and intervene with next-best actions in a timely way, by sending accurate and actionable clinical signals for a wide range of critical condition areas within the EMR and existing workflows. This pioneering approach is referred to as Intelligent Care Augmentation. Bayesian Health primarily serves hospitals and healthcare providers, aiming to enhance patient outcomes through real-time data analysis.

Reviewed by Pouyan Golshani, MD — Interventional Radiologist

Key Features

  • Real-time continuous patient monitoring
  • AI/ML-based sepsis early detection algorithm
  • Integration with Electronic Health Records (EHR) systems
  • Flags for high sepsis risk displayed within EHR
  • Analysis of multimodal patient data (vitals, labs, clinical notes, comorbidities)
  • Reduced false alerts and increased identified sepsis cases
  • Earlier alerts before antibiotic administration
  • Automated quality and reporting dashboards
  • Built-in governance layer for continuous performance tracking, drift, and bias detection
  • Expansion into other critical conditions like pressure ulcer prevention and palliative care identification

Use Cases

  • Early detection and risk prediction of sepsis in adult patients
  • Continuous monitoring of hospitalized patients in acute care settings
  • Improving patient outcomes by enabling timely clinical intervention for sepsis
  • Reducing in-hospital mortality rates due to sepsis
  • Enhancing clinical workflows with real-time, actionable insights
  • Identifying patients who may benefit from palliative care earlier

Details

Category Clinical Decision Support & Reference, Triage & ER/ICU AI
Pricing Subscription-based platform — unknown
DeploymentCloud-based web application seamlessly integrated into the Electronic Health Record (EHR) system.
Compliance
BAA AvailableUnknown AI-estimated
HIPAA CompliantUnknown AI-estimated
FDA Status Unknown AI-estimated

The Bayesian Health Sepsis Flagging Device received FDA 510(k) clearance on April 30, 2026, making it the first continuous AI sepsis monitor to do so. It also received FDA Breakthrough Device Designation in 2023.

Integrations
EHR Not specified
Specialties Critical Care, Hospital Medicine, Infectious Disease

What the Web Says

The Bayesian Health Sepsis Flagging Device is an AI/ML-based software as a medical device (SaMD) designed to aid healthcare providers in the early detection and risk prediction of sepsis within 24 hours by continuously monitoring electronic health record (EHR) data. It has received 510(k) clearance from the FDA and is intended for use with adult patients in emergency departments and other hospital settings. The device aims to improve early detection and reduce mortality associated with sepsis.

Overall: Mixed

Strengths

  • Aids in early detection and risk prediction of sepsis within 24 hours.
  • Continuously monitors EHR data, including vitals, lab results, and clinical notes.
  • Provides early warnings for sepsis, such as a 'sepsis risk high' flag within the EHR.
  • Cleared via 510(k) by the FDA.
  • Associated with reduced inpatient mortality.
  • Integrates with existing EHR systems.

Limitations

  • Criticized for biases.
  • Low Positive Predictive Value (PPV) and high alert burden.
  • Not a standalone diagnostic solution, requires use in conjunction with clinical assessments and other laboratory data.
  • The observed sepsis prevalence in the intended use population was higher than that of its predicate device.

Based on reviews from: Frontiers, Physician AI Tools, MEARIS - CMS, accessdata.fda.gov, GitHub, PMC, Federal Register, Gods in White, Simplify Jobs, FDA

Last updated: 2026-09-24

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Press & Coverage

accessdata.fda.gov
Bayesian Health Sepsis Flagging Device - K250680 FDA 510(k) Premarket Notification
The Bayesian Health Sepsis Flagging Device received 510(k) clearance from the FDA on April 30, 2026, as a prescription-use only device intended to aid healthcare providers in the early detection and/or risk prediction of sepsis in adult hospitalized patients.
2026-04
Innolitics
Q2 2026 AI/ML FDA Clearances and De Novos - Innolitics
This article lists the Bayesian Health Sepsis Flagging Device among the AI/ML devices that received FDA 510(k) clearance in Q2 2026, highlighting its function to provide a 'Sepsis Risk High' triage alert to facilitate timely sepsis intervention for adults.
2026-07
kBLASTER
Bayesian Health Sepsis Flagging Device - K250680 FDA 510(k) ...
kBLASTER features the Bayesian Health Sepsis Flagging Device as an FDA 510(k) clearance of the day, indicating its regulatory approval.
2026-03
Frontiers in Emergency Medicine
Finding time zero: how smart diagnostics and AI are reshaping sepsis care - Frontiers
This peer-reviewed article discusses the Bayesian Health Sepsis Flagging Device as one of the key AI sepsis prediction tools, noting its 510(k) clearance on April 30, 2026.
2026-09
Federal Register
Medicare Program; Hospital Inpatient Prospective Payment Systems for Acute Care Hospitals (IPPS) and the Long-Term Care Hospital Prospective Payment System and Policy Changes and Fiscal Year (FY) 2027 Rates; Requirements for Quality Programs; Other Policy Changes; and Adoption of Updated Versions of Certain Health Information Technology Standards - Federal Register
The Federal Register includes a proposed rule discussing the Bayesian Health Sepsis Flagging Device in the context of new technology add-on payments for FY 2027, describing it as an AI/ML-based Software as a Medical Device for early sepsis detection and risk prediction.
2026-08
Simplify Jobs
Staff Machine Learning Engineer @ Bayesian Health | Simplify Jobs
This job posting mentions the Bayesian Health Sepsis Flagging Device received FDA 510(k) clearance in April, providing regulatory clearance for software designed to aid healthcare providers in the early detection or prediction of sepsis risk in adult patients.
2026-04
Gods in White
Archiv - Gods in White
A German healthcare IT publication reported on July 3, 2026, that the FDA cleared an EHR-based AI system for early sepsis detection, referring to the Bayesian Health Sepsis Flagging Device, via 510(k).
2026-07
Physician AI Tools
Medical AI Tools for Physicians | Physician AI Tools
This article describes the Bayesian Health Sepsis Flagging Device as an AI clinical decision support system that continuously monitors EHR data to provide early warnings for sepsis by identifying patterns that may indicate worsening conditions.
unknown

Videos

Product demos, reviews, and walkthroughs for Bayesian Health Sepsis Flagging Device.

View all on YouTube

Frequently Asked Questions

The Bayesian Health Sepsis Flagging Device integrates seamlessly into the Electronic Health Record (EHR) system, displaying 'Sepsis Risk High' flags directly within the clinician's existing workflow. It continuously analyzes patient data from the EHR, including patient information, comorbidities, chief complaints, laboratory measurements, vital signs, procedures, medications, and consult orders.
A landmark prospective study published in Nature Medicine showed that when clinicians engaged with the device's alerts, patients with sepsis experienced an 18.2% reduction in mortality and received antibiotics a median of 1.85 hours sooner. This performance has been consistently matched or exceeded in diverse health systems, demonstrating high clinician adoption (over 80%), faster antibiotic delivery, lower utilization, and reduced sepsis mortality.
The device is intended for adult patients (18 years and older) upon ED presentation or hospital admission and throughout their stay in acute care settings. It should not be used as the sole basis for determining the presence or risk of sepsis. The device has not been validated in pediatric, labor, or maternity care unit patients, patients who have had surgery in the past 90 minutes, or those admitted for trauma who have not been stabilized.
Unlike traditional rule-based systems or some legacy predictive analytics that often lead to alert fatigue due to poor sensitivity and specificity, the Bayesian Health device aims to provide more precise and trustworthy signals. Studies have shown it can detect sepsis significantly earlier than traditional methods, with high sensitivity (82%) and a high provider adoption rate (89%).
Beginning October 1, 2026, hospitals using the Bayesian Health Sepsis Flagging Device can receive additional Medicare reimbursement for eligible inpatient cases through a New Technology Add-on Payment (NTAP). This temporary add-on payment, up to $61.84 per case, helps cover the costs of the newly approved technology. Specific pricing models for the device itself would need to be obtained directly from Bayesian Health.

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Suggest an Edit → | Last Verified: 2026-09-23 | First Added: 2026-09-23
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