Every claim we hold, and how far we can stand behind it.
142 claims across 39 products. 28% 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.
| Evidence class | Claims | Confirmed | What it can support |
|---|---|---|---|
| Peer-reviewed study | 19 | 5 | Reviewed before publication; assess study quality, funding, conflicts, and relevance to your setting. |
| Regulatory filing | 4 | 0 | A statement made to a regulator, where being wrong has consequences. |
| Independent report | 32 | 9 | Reporting outside a vendor publication; assess underlying data, sponsorship, and conflicts separately. |
| Customer case | 4 | 3 | A real deployment, but selected and framed by someone with an interest. |
| Press release | 63 | 22 | The vendor's own announcement. Useful for dates and facts, not for outcomes. |
| Vendor page | 20 | 1 | Marketing copy. Establishes what is claimed, never that it is true. |
Showing 5 of 5 matching claims (142 in the full corpus) · 0% of this selection is confirmed · clear filters
Peer-reviewed Nature Health study (SAFEMOM) of Ada integrated into South Africa's government-run MomConnect WhatsApp maternal health platform found safe health-seeking behavior rose nearly a third and appropriate care-seeking rose more than 40%; an independent physician panel rated Ada's recommendations safe in 98% of cases
Provenance
- Claim ID
- clm_e424d6e33e196547ba29
- Version
- 1
- Workflow
- Clinical Evidence & Decision Support
- Dimension
- evidence strength
- Retrieved
- 2026-08-27
- Reviewer
- healthit-gate-v1
- Source URL
- https://doi.org/10.1038/s44360-026-00125-x
Mayo Clinic study in J Prim Care Community Health (2025 Apr 16;16:21501319251332215, doi 10.1177/21501319251332215) found OpenEvidence 'provided accurate, evidence-based recommendations in all cases, aligning with physician plans' across five common chronic conditions, with mean scores of clarity 3.55±0.60, relevance 3.75±0.44, support 3.35±0.49, and satisfaction 3.60±0.60.
Provenance
- Claim ID
- clm_565ce01a474e2b680115
- Version
- 1
- Workflow
- Clinical Evidence & Decision Support
- Dimension
- evidence strength
- Retrieved
- 2026-08-27
- Reviewer
- healthit-gate-v1
- Source URL
- https://pmc.ncbi.nlm.nih.gov/articles/PMC12033599/
Journal of Investigative Dermatology study (Dulmage et al., 2021;141:1230-1235, doi 10.1016/j.jid.2020.08.027) of VisualDx's point-of-care AI system found 'The AI system achieved an accuracy of 68% in determining the single most likely morphology from the test image bank', while primary care physicians scored 36% without aids and 68% with a visual guide (P < 0.001); on 222 images across Fitzpatrick skin types the AI achieved 70% accuracy in Fitzpatrick I-III and 68% in Fitzpatrick IV-VI (P = 0.79).
Provenance
- Claim ID
- clm_19dcf624d235238fa2b7
- Version
- 1
- Workflow
- Clinical Evidence & Decision Support
- Dimension
- evidence strength
- Retrieved
- 2026-08-27
- Reviewer
- healthit-gate-v1
- Source URL
- https://doi.org/10.1016/j.jid.2020.08.027
Independent BMJ Open peer-reviewed vignette study (Gilbert et al., 2020) compared digital symptom assessment apps, including Ada, against GPs for suggesting conditions and urgency advice
Provenance
- Claim ID
- clm_796e5c36fb879e0a483b
- Version
- 1
- Workflow
- Clinical Evidence & Decision Support
- Dimension
- evidence strength
- Retrieved
- 2026-08-27
- Reviewer
- healthit-gate-v1
- Source URL
- https://pmc.ncbi.nlm.nih.gov/articles/PMC7745718/
Cluster-randomized controlled trial in J Med Libr Assoc (2019 Apr 1;107(2):151-162, doi 10.5195/jmla.2019.581) evaluated VisualDx as a clinical evidence technology for skin problems in primary care: 'Thirty-two PCPs and 433 patients participated', and time from index visit to skin problem resolution was similar in both groups (hazard ratio=0.92; 95% CI 0.70, 1.21; p=0.54).
Provenance
- Claim ID
- clm_fa1a96f540b206b3d969
- Version
- 1
- Workflow
- Clinical Evidence & Decision Support
- Dimension
- evidence strength
- Retrieved
- 2026-08-27
- Reviewer
- healthit-gate-v1
- Source URL
- https://pmc.ncbi.nlm.nih.gov/articles/PMC6466492/