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RESEARCH PREVIEW · 2026-08-27
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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 classClaimsConfirmedWhat it can support
Peer-reviewed study195Independent review before publication. The only class that survives a sceptical committee unaided.
Regulatory filing40A statement made to a regulator, where being wrong has consequences.
Independent report329Analysis by someone with no stake in the sale.
Customer case43A real deployment, but selected and framed by someone with an interest.
Press release6323The vendor's own announcement. Useful for dates and facts, not for outcomes.
Vendor page202Marketing copy. Establishes what is claimed, never that it is true.

Showing 7 of 7 matching claims (142 in the full corpus) · 71% of this selection is confirmed · clear filters

  1. 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 studyConfirmedOpen 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/

  2. 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 studyConfirmedOpen 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/

  3. JMIR Med Inform 2026: Abridge was chosen as the AI platform and integrated with the Epic EMR.

    AbridgePeer-reviewed studyConfirmedOpen 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/

  4. 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 studyConfirmedOpen 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/

  5. Applied Clinical Informatics (2026): early implementation of DAX Copilot in a pediatric hematology-oncology division across 11,544 outpatient encounters (Jan-Jul 2025) found that for encounters of 40 minutes or less, median documentation time was 11 minutes with DAX versus 24 minutes without - an approximately 30% lower documentation time (95% CI 19.9-38.4%; p<0.001).

    DAX CopilotPeer-reviewed studyUnverifiedOpen source ↗
    Provenance
    Claim ID
    clm_61a71bb995cf683609ed
    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/PMC13192280/

  6. NEJM AI randomized trial (Dec 2025): among 238 outpatient physicians across 14 specialties (Nov 4, 2024-Jan 3, 2025) randomized to Microsoft Dragon Ambient eXperience (DAX) Copilot, Nabla, or usual care, DAX was used in 33.5% of 24,696 visits; DAX users showed no significant change in time-in-note (-1.7%; 95% CI -9.4% to +5.9%; P=0.66) but significant improvements in burnout measures (Mini-Z +2.83; PTL -39.9) versus control.

    DAX CopilotPeer-reviewed studyConfirmedOpen source ↗
    Provenance
    Claim ID
    clm_dd375bd99918073f92db
    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/PMC12768499/

  7. Blinded PDQI-9 evaluation (Frontiers in Artificial Intelligence, 2025) of 97 clinical encounters across five specialties compared LLM-generated ambient notes from Suki's production system against physician-authored Gold notes: overall quality scores were comparable (4.20/5 ambient vs 4.25/5 gold, p = 0.04), ambient notes scored higher on thoroughness (4.22 vs 3.80, p < 0.001) and organization (p = 0.03), and reviewers overall preferred ambient notes 47% vs 39%, though hallucinations were detected in 31% of ambient vs 20% of gold notes (p = 0.01).

    Suki AssistantPeer-reviewed studyUnverifiedOpen source ↗
    Provenance
    Claim ID
    clm_93f1e478d301f2abd57c
    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/PMC12586549/
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