AgileMD vs Bayesian Health (2026)
Both sell FDA cleared early warning models to hospitals, and both market within their clearances. AgileMD's eCART, built on University of Chicago research, is a cloud hosted gradient boosted model that combines routine vital signs and laboratory values to warn of general deterioration on hospital wards; its clearance states sensitivity and alert rate. Bayesian Health, a Johns Hopkins spinout founded by Suchi Saria, reads the record continuously, flags inpatients at rising risk of sepsis and prepares order sets and documentation for clinicians, with further modules for deterioration and readmissions. Choose eCART for a general deterioration warning on the wards; choose Bayesian for sepsis detection with the clinical workflow built around it.
- You want a general deterioration warning, not sepsis alone.
- The clearance should state sensitivity and alert rate.
- A model from long running academic research matters to your committee.
- Sepsis is the priority, with further modules available.
- Alerts should come with order sets and documentation ready.
- The workflow for acting on an alert should come with the model.
This comparison is published by AI Health Index, an independent research platform that compares healthcare AI vendors objectively. AgileMD and Bayesian Health are each graded against the same capability taxonomy, from each vendor's own public materials and the regulatory record, under the AI Health Index verification standard. No vendor pays for placement, and no vendor has reviewed this page. How this evidence is graded
Plain facts
| Fact | AgileMD | Bayesian Health |
|---|---|---|
| Primary category | Inpatient Deterioration & Risk Monitoring | Inpatient Deterioration & Risk Monitoring |
| Founded | 2011 | 2018 |
| Headquarters | San Francisco, California, United States | New York, New York, United States |
| Website | agilemd.com | bayesianhealth.com |
Side by Side
Select any grade to read the note behind it.
Product updates
The latest logged changes from each vendor, newest first, each linked to its source.
Bayesian Health
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Regulatory / FDA
CMS approved a New Technology Add-on Payment for Bayesian Health's FDA cleared continuous AI sepsis monitor, creating Medicare payment support for health systems running the platform.
Source
Each vendor in one paragraph
Written to be quoted whole. Each paragraph opens the AI Health Index profile of the vendor: what the product is, who buys it and what it does.
AgileMD sells eCART, an FDA cleared early warning system for clinical deterioration on hospital wards, built on research from the University of Chicago, and a separate clinical pathways product.
Source: AI Health Index, September 2026
Bayesian Health, a Johns Hopkins spinout founded by Suchi Saria, sells a platform of machine learning models that read the EHR continuously and flag inpatients at rising risk, with workflows that prepare order sets and documentation for clinicians to act on. Its lead module detects sepsis early.
Source: AI Health Index, September 2026
Questions buyers ask
How do AgileMD and Bayesian Health work with the EHR?
For AgileMD, the company says eCART and its pathways embed in native EHR workflows, and that pathways let clinicians order directly, align order sets, pull in live labs and vitals, generate documentation and use calculators. The 510(k) says the health system must supply an EHR connection and data interfaces.
With Bayesian Health, the 510(k) summary calls the device's web application EHR agnostic and integrated into the EHR so clinicians see flags in their existing workflow, and the platform page says flags trigger workflows inside the EHR that tee up order sets, pathway steps and documentation. From the AI Health Index, drawn from each vendor's own published materials and the regulatory record, verified September 29, 2026. No vendor pays for placement.
How are AgileMD and Bayesian Health priced and sold?
In AgileMD's case, the company has also published a conference abstract measuring the return on investment of the product (Circulation, 2023) and markets reduced mortality, length of stay and direct variable costs, so the benefit side is quantified while the cost side is not.
For Bayesian Health, the product is sold to health systems as an enterprise platform, by module, with implementation that tunes models to each site. From the AI Health Index, drawn from each vendor's own published materials and the regulatory record, verified September 29, 2026. No vendor pays for placement.
How do AgileMD and Bayesian Health handle patient data?
With AgileMD, the home page says the cloud engine is SOC 2 and HIPAA compliant, hosted with no on site hardware, behind layers of protection, encryption and network security, with audit logging and monitoring. Nothing published states how long patient data is kept, whether it trains or updates the model, or how it is de-identified.
In Bayesian Health's case, the company's privacy policy covers its marketing website. Nothing published states what patient data is retained, for how long, whether one health system's data develops models used by others, or who inside the company can reach identified records. From the AI Health Index, drawn from each vendor's own published materials and the regulatory record, verified September 29, 2026. No vendor pays for placement.
Which settings and specialties do AgileMD and Bayesian Health cover?
For AgileMD, the company lists a pediatric machine learning early warning outcome study (Pediatric Critical Care Medicine, 2025) among its eCART publications without saying whether a pediatric version is offered, and its home page says the model was trained and tested on 28 hospitals across six health systems, a wider base than the clearance describes.
With Bayesian Health, the cleared sepsis module covers adults 18 and over from emergency department presentation or admission through the stay in acute care, including observation units, general wards and intensive care, and its evidence spans five hospitals in the outcome study and four in the clearance study, academic, urban and suburban. From the AI Health Index, drawn from each vendor's own published materials and the regulatory record, verified September 29, 2026. No vendor pays for placement.
Related comparisons
Other published head to head assessments involving these vendors or their closest peers. The full set for this category is on the Inpatient Deterioration & Risk Monitoring page.
Both records were reviewed on this site in September 2026. Neither publishes a price, and the studies behind both are company led or company coauthored. Bayesian's clearance reports agreement and positive predictive value, but no lead time was found in what was read.
Ask both how many hours of warning a clinician gets, and how many alerts come with it.