OpenEvidence (DeepConsult + Visits)
Clinical decision support. Visits (Aug 2025) connects evidence layer to the live encounter — patient-specific context binding distinct from pure literature RAG. DeepConsult agent autonomously cross-references hundreds of peer-reviewed studies.
At a glance
- Type
- Encounter-grounded evidence synthesis
- Tier
- T2
- Created
- 2022 (founded 2022 by Daniel Nadler)
- Latest release
- not applicable — not OSS
- License
- not applicable — not OSS
- GitHub
- not applicable — no GitHub repo
- Pricing
- searched not found
- Funding
- searched not found
Taxonomy
- storage
- vector
- retrieval
- similarity
- persistence
- session
- update
- read-only
- unit
- document
- governance
- inspectable
- conflict
- none
When to use
Optimised for: HIPAA compliance + clinical-grade provenance + EHR integration
Anti-fit: not for non-healthcare verticals; must operate under HIPAA / regional health regulation
Pros & cons
Pros
Most-used clinical-evidence AI in US; memory of past consults + visits feeds longitudinal care reasoning.
Cons
US-clinician scope; smaller global presence; subscription model.
Claims & capabilities
100% USMLE score. 35M peer-reviewed publications indexed.
Technical surface
- API surface
- searched not found
- Backend storage
- searched not found
- Deployment
- searched not found
- Embedding model
- searched not found
- Multi-tenancy
- BAA with covered entities; annual third-party network + application penetration testing
- MCP
- no MCP support advertised — vertical product, no MCP server / client integration documented
- A2A
- no A2A protocol support advertised — vertical product, no A2A integration documented
- OpenTelemetry
- no OpenTelemetry integration advertised — vendor logs/observability not publicly documented
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