Evidence explorer

Every claim we hold, and how far we can stand behind it.

142 claims across 39 products. 30% are confirmed against the source text by the evidence gate; 39% come from a class with no vendor interest. Everything below is browsable, filterable, and available as JSON.

What this corpus is made of

Evidence class	Claims	Confirmed	What it can support
Peer-reviewed study	19	5	Independent review before publication. The only class that survives a sceptical committee unaided.
Regulatory filing	4	0	A statement made to a regulator, where being wrong has consequences.
Independent report	32	9	Analysis by someone with no stake in the sale.
Customer case	4	3	A real deployment, but selected and framed by someone with an interest.
Press release	63	23	The vendor's own announcement. Useful for dates and facts, not for outcomes.
Vendor page	20	2	Marketing copy. Establishes what is claimed, never that it is true.

Showing 4 of 4 matching claims (142 in the full corpus) · 100% of this selection is confirmed · clear filters

Real-world AI scribe study (JMIR 2026) participant on Heidi: My hospital has been piloting Heidi, and I have used it extensively in the emergency department (ED)
Heidi ScribePeer-reviewed studyConfirmed2026-08-13Open source ↗
Provenance
Claim ID
clm_07d8295a7406b9118434
Version
1
Workflow
Ambient Clinical Documentation
Dimension
evidence strength
Retrieved
2026-08-27
Reviewer
healthit-gate-v1
Source URL
https://pmc.ncbi.nlm.nih.gov/articles/PMC13472498/
JMIR Med Inform 2026 prospective study: Abridge was chosen as the AI platform and integrated with the Epic EMR at Hawaii Pacific Health Medical Group.
AbridgePeer-reviewed studyConfirmed2026-06-23Open source ↗
Provenance
Claim ID
clm_a5941d994b2af01d6698
Version
1
Workflow
Ambient Clinical Documentation
Dimension
evidence strength
Retrieved
2026-08-27
Reviewer
healthit-gate-v1
Source URL
https://pmc.ncbi.nlm.nih.gov/articles/PMC13289844/
JMIR Med Inform 2026: Abridge was chosen as the AI platform and integrated with the Epic EMR.
AbridgePeer-reviewed studyConfirmed2026-06-23Open source ↗
Provenance
Claim ID
clm_00b51ce1cd925912e9d6
Version
1
Workflow
Ambient Clinical Documentation
Dimension
interoperability
Retrieved
2026-08-27
Reviewer
healthit-gate-v1
Source URL
https://pmc.ncbi.nlm.nih.gov/articles/PMC13289844/
JMIR Med Inform 2026 prospective Abridge study: Signal metrics found a 21% decrease in time spent on notes per day among high users.
AbridgePeer-reviewed studyConfirmed2026-06-23Open source ↗
Provenance
Claim ID
clm_2d77987ee04fa4cb752f
Version
1
Workflow
Ambient Clinical Documentation
Dimension
economic value
Retrieved
2026-08-27
Reviewer
healthit-gate-v1
Source URL
https://pmc.ncbi.nlm.nih.gov/articles/PMC13289844/

Know a source we are missing?