Bayesian Health

Bayesian Health is a real-time clinical intelligence company whose adaptive AI platform monitors hospitalized patients continuously inside the electronic health record, surfacing only the patients who need attention and giving clinicians evidence-based guidance to act. Its flagship Targeted Real-Time Early Warning System (TREWS) reads full patient charts — labs, vitals, and clinical notes — to detect sepsis and other deterioration hours earlier while cutting alert volume, and in May 2026 became the first-ever FDA-cleared continuous AI sepsis monitor. Founded by Johns Hopkins professor Suchi Saria, the company deploys through direct EHR partnerships with Epic and Cerner rather than a public developer API, and is backed by a16z.

Bayesian Health is profiled on the APIs.io network. Tagged areas include Company, Health, Healthcare, Clinical AI, and Artificial Intelligence.

Bayesian Health’s developer surface includes engineering blog, support, and 8 more developer resources.

🌐 Visit website 📡 Source on GitHub

7.9/100 minimal ▬ flat Agent 0/100 human only Full breakdown ↓
scored 2026-08-20 · rubric v0.12.0

0 APIs

CompanyHealthHealthcareClinical AIArtificial IntelligenceMachine-LearningSepsisPatient MonitoringClinical Decision SupportEHRFHIRInteroperability

Kin Score

Kin Score How this is scored →
scored 2026-08-20 · rubric v0.12.0

Composite quality — 7.9/100 · minimal

Contract Quality 0.0 / 21

Developer Ergonomics 1.2 / 17

Access Clarity 1.8 / 17

Operational Transparency 0.3 / 11

Contract Governance 0.0 / 10

Discoverability 4.3 / 9

Regulatory Posture 1.9 / 15

Agent readiness — 0/100 · human only

Machine-Readable Contract 0 / 18

Agentic Access Contract 0 / 10

Documented Reversibility 0 / 6

MCP Server 0 / 12

Machine-Readable Auth 0 / 10

Idempotency 0 / 9

Stable Error Semantics 0 / 8

Request/Response Examples 0 / 7

Rate-Limit Signaling 0 / 7

Typed Event Surface 0 / 6

Agent Skills 0 / 5

Well-Known Catalog 0 / 4

Consent & Bot Identity 0 / 3

A2A Agent Card 0 / 8

Dry-Run / Simulate Mode 0 / 4

Regulatory Posture applies to this provider. Its tags matched the Health regime, so Regulatory Posture carries 15 points of the composite. If this regime is wrong for your business, say so on your provider repo — the applicability map is public and we will correct it.

The six quality facets above are damped to 85 points between them, because the conditional facet above carries the other 15. That is why each facet's contribution is shown against a damped maximum: raising a quality facet moves the composite by 85% of its nominal weight, not 100%. The full arithmetic is at apis.io/rating/.

Improve this rating by publishing the missing artifacts — every area above can be raised, and the full rubric is at apis.io/rating/. This rating is computed from github.com/api-evangelist/bayesian-health: open an issue to ask a question, or submit a pull request to add artifacts. Want it done for you? Prioritized profiling — $2,500 →

Build 1

SDKs, sample code, and the tooling you integrate with

GitHubOrganization

GitHubOrganization

Access & Security 1

Authentication, authorization, and security posture

DomainSecurity

DomainSecurity

Operate 1

Status, limits, changes, and where to get help

Support

Support

Commercial 1

Pricing, plans, and the legal terms of use

PrivacyPolicy

PrivacyPolicy

Company 5

The organization behind the API

Website

Website

About

About

Blog

Blog

LinkedIn

Careers

Careers

Other 1

Properties that don't map to a standard resource type

Platform

Platform

Source (apis.yml)

aid: bayesian-health
name: Bayesian Health
description: Bayesian Health is a real-time clinical intelligence company whose adaptive AI platform monitors hospitalized
  patients continuously inside the electronic health record, surfacing only the patients who need attention and giving clinicians
  evidence-based guidance to act. Its flagship Targeted Real-Time Early Warning System (TREWS) reads full patient charts —
  labs, vitals, and clinical notes — to detect sepsis and other deterioration hours earlier while cutting alert volume, and
  in May 2026 became the first-ever FDA-cleared continuous AI sepsis monitor. Founded by Johns Hopkins professor Suchi Saria,
  the company deploys through direct EHR partnerships with Epic and Cerner rather than a public developer API, and is backed
  by a16z.
accessModel:
  pricing: unknown
  onboarding: unknown
  trial: false
  try_now: false
  public: false
  label: Unknown
  confidence: low
  source: []
  generated: '2026-07-22'
  method: derived
image: https://framerusercontent.com/images/4rMdUmG0MtMBv3f5fYnSWPCQefA.png
url: https://raw.githubusercontent.com/api-evangelist/bayesian-health/refs/heads/main/apis.yml
x-type: company
x-source: vc-portfolio
x-backed-by:
- a16z
x-tier: stub
x-tier-reason: portfolio-lead
x-api-surface: none-public
x-integration-model: ehr-embedded
specificationVersion: '0.23'
created: '2026-07-17'
modified: '2026-07-18'
tags:
- Company
- Health
- Healthcare
- Clinical AI
- Artificial Intelligence
- Machine-Learning
- Sepsis
- Patient Monitoring
- Clinical Decision Support
- EHR
- FHIR
- Interoperability
tags_raw:
- Company
- Health
- Healthcare
- Clinical AI
- Artificial Intelligence
- Machine Learning
- Sepsis
- Patient Monitoring
- Clinical Decision Support
- EHR
- FHIR
- Interoperability
apis: []
common:
- type: DomainSecurity
  url: security/bayesian-health-domain-security.yml
- type: Website
  url: https://www.bayesianhealth.com/
- type: About
  url: https://www.bayesianhealth.com/about
- type: Platform
  url: https://www.bayesianhealth.com/platform
- type: Blog
  url: https://www.bayesianhealth.com/insights
- type: Support
  url: https://www.bayesianhealth.com/contact
- type: PrivacyPolicy
  url: https://www.bayesianhealth.com/legal-pages/privacy-policy
- type: GitHubOrganization
  url: https://github.com/bayesianhealth
- type: LinkedIn
  url: https://www.linkedin.com/company/bayesian-health
- type: Careers
  url: https://jobs.ashbyhq.com/bayesianhealth
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com
- FN: APIs.json
  email: info@apis.io
x-enrichment:
  date: '2026-07-19'
  status: backfilled
  pass: local-v1
  note: backfilled from .gitignore signal + verified work evidence