Bayesian Health vs Healthplus.ai (2026)
Both predict that a patient is heading for trouble and they define the target differently, which is why the comparison is useful rather than competitive. Healthplus.ai predicts postoperative bacterial infection specifically, is certified in Europe as software as a medical device, and carries the most methodologically complete published evaluation in this category, with calibration treated as the central problem rather than an afterthought. Bayesian Health detects general deterioration and sepsis across the inpatient population, with three large prospective multi site studies behind it and clinician response engineered into the deployment. The calibration point is the one worth taking from this pair regardless of which vendor you buy: a model that discriminates well in one hospital will still misestimate absolute risk in another, and almost nobody in this category is asked to demonstrate local calibration before go live.
- The published evaluation is the most methodologically complete in this category, appearing in a regional journal of a major medical publisher rather than in vendor material.
- Calibration is treated as the central problem rather than discrimination, which is the right emphasis for a risk model that will move between institutions with different baseline rates.
- The model class is named plainly and the certification carries an adjunctive constraint, so what the tool may and may not be used for is written down rather than implied.
- The evidence is prospective, multi site and conducted with a major academic health system, which is a different and harder study design than retrospective validation.
- It is deployed in United States hospitals and configured across several risk questions rather than one condition, so a single integration serves more than one programme.
- Clinician response was engineered into the deployment rather than assumed, which is what separates a model that fires from a model that changes outcomes.
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 | Netherlands |
| Website | bayesianhealth.com | healthplus.ai |
Side by Side
Each record in one paragraph
Written to be quoted whole. Each paragraph states what the AI Health Index verified about the vendor, with the caveats attached. Generated from this pair’s live capability grades, so it moves when a grade moves.
The AI Health Index awards Bayesian Health its top capability grade on several axes, including AI Centrality, Autonomy and Oversight Model and Model and Technology Transparency. Set against Healthplus.ai, Bayesian Health grades higher on several axes, including Autonomy and Oversight Model, Security Certifications and Trust Center and FDA and Regulatory Status. Its thinnest published disclosure sits on Model Supply Chain Disclosure. Grades reflect evidence the AI Health Index could verify at the last review, so a low grade records disclosure the vendor has not published rather than a capability it has been shown to lack.
Source: AI Health Index, August 2026
The AI Health Index awards Healthplus.ai its top capability grade on AI Centrality, Model and Technology Transparency and Clinical and Operational Evidence. Set against Bayesian Health, Healthplus.ai grades higher on Model Supply Chain Disclosure, HIPAA and BAA Posture and Deployment Model and Data Residency. Grades reflect evidence the AI Health Index could verify at the last review, so a low grade records disclosure the vendor has not published rather than a capability it has been shown to lack.
Source: AI Health Index, August 2026
Questions buyers ask
Should we choose Bayesian Health or Healthplus.ai?
On the axes where the AI Health Index separates them, Bayesian Health grades higher on several axes, including Autonomy and Oversight Model, Security Certifications and Trust Center and FDA and Regulatory Status, and Healthplus.ai grades higher on Model Supply Chain Disclosure, HIPAA and BAA Posture and Deployment Model and Data Residency. Bayesian Health leads on the greater share of scored axes, but the split means the decision turns on which constraint is binding rather than on an overall winner.
Where do Bayesian Health and Healthplus.ai differ most?
The widest separation the AI Health Index records between Bayesian Health and Healthplus.ai is on Autonomy and Oversight Model, where Bayesian Health grades A and Healthplus.ai grades B. That axis sits in the AI Capability group, so it should carry the most weight for a buyer whose binding constraint is how much of the work the model itself is trusted to do.
Where do Bayesian Health and Healthplus.ai grade the same?
The AI Health Index grades Bayesian Health and Healthplus.ai the same on several axes, including AI Centrality, Model and Technology Transparency and Clinical and Operational Evidence. Neither holds an advantage the index can evidence on those axes, so they should not carry weight in a selection between these two.
What have Bayesian Health and Healthplus.ai not disclosed?
At the last review, at least one of Bayesian Health and Healthplus.ai published thin or absent detail on Model Supply Chain Disclosure. The AI Health Index treats an absent disclosure as a gap in the public record rather than a failure of the product, so these are the axes to get in writing during diligence instead of inferring from the grade.
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.
The scopes differ enough that these are not substitutes: one predicts postoperative bacterial infection in surgical patients, the other detects general deterioration and sepsis across inpatients, so a hospital could reasonably run both. Healthplus.ai holds European certification and states it is pursuing United States authorisation, which means it is not currently available for clinical use in the United States; check status before evaluating.
Neither vendor publishes a security attestation, business associate terms, retention or training use position, and neither publishes pricing. Both should be asked for alert burden per patient day and for local calibration performance before deployment, since a model calibrated elsewhere will misestimate risk in your population.