Bayesian Health vs Healthplus.ai (2026)
Both sell machine learning that predicts complications in hospitalized patients from the EHR, with published evidence behind them. Bayesian Health, a Johns Hopkins spinout, reads the record continuously, flags inpatients at rising risk of sepsis and prepares order sets and documentation for clinicians; its sepsis module is FDA cleared and marketed within that clearance. Healthplus.ai, from Amsterdam, gives each adult surgical patient a probability of postoperative bacterial infection at 7 and 30 days within an hour of surgery ending, with the factors behind it shown in the EHR. PERISCOPE is CE marked in Europe, has no FDA clearance, and publishes results by patient subgroup. Choose Bayesian for inpatient sepsis in the United States; choose PERISCOPE to predict surgical infections, especially in Europe.
- Sepsis among inpatients is the priority, with an FDA clearance behind the model.
- Alerts should come with order sets and documentation ready.
- You may add modules for deterioration or readmissions later.
- Infection after surgery is the risk you are watching.
- Each prediction should show the factors behind it.
- You operate in Europe, where the product is CE marked.
This comparison is published by AI Health Index, an independent research platform that compares healthcare AI vendors objectively. Bayesian Health and Healthplus.ai 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 | Bayesian Health | Healthplus.ai |
|---|---|---|
| Primary category | Inpatient Deterioration & Risk Monitoring | Inpatient Deterioration & Risk Monitoring |
| Founded | 2018 | Not recorded |
| Headquarters | New York, New York, United States | Amsterdam, Netherlands |
| Website | bayesianhealth.com | healthplus.ai |
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.
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
Healthplus.ai, based in Amsterdam, sells PERISCOPE, CE marked software that predicts which adult surgical patients will develop a postoperative bacterial infection. Within an hour of the end of surgery it gives each patient a probability of infection within 7 days and within 30 days, shown inside the electronic health record as a risk category with the factors that contributed most.
Source: AI Health Index, September 2026
Questions buyers ask
How do Bayesian Health and Healthplus.ai work with the EHR?
For 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.
With Healthplus.ai, the product page says PERISCOPE works directly inside Epic and is built to integrate with HiX, showing the risk category and contributing factors alongside patient data in the clinician's existing screen. The product reads pre and intraoperative data from the record and returns a prediction into it within an hour of the end of surgery, with no new data entry. 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 Bayesian Health and Healthplus.ai priced and sold?
In Bayesian Health's case, the product is sold to health systems as an enterprise platform, by module, with implementation that tunes models to each site.
For Healthplus.ai, the company's own research argues local updating is needed for the models to perform at a new hospital, so the question bears on total cost. 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 Bayesian Health and Healthplus.ai handle patient data?
With Bayesian Health, 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.
In Healthplus.ai's case, the published method retrains and recalibrates the models on each hospital's own historical record data before use, and the product draws only on data the record already holds, with no new data entry. Where that retraining runs is not stated, and the company offers both cloud and on premises installation. 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 Bayesian Health and Healthplus.ai cover?
For 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.
With Healthplus.ai, the outcome is postoperative bacterial infection broadly, including surgical site infection, pneumonia and urinary tract infection, rather than surgical site infection alone. 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. Bayesian's clearance reports agreement and positive predictive value, but no lead time was found in what was read; PERISCOPE has no FDA clearance.
Ask both for results in a hospital like yours, broken out by patient group.