Doximity Ask vs OpenEvidence (2026)
Two clinical answer tools that a United States clinician can use free, reached through different front doors. Doximity Ask, formerly Doximity GPT, sits inside the professional network Doximity has run since 2010. It answers with inline citations to guidelines, studies and full text journal articles, draws drug answers from monographs grounded in FDA labeling, and also drafts prior authorization requests, appeal letters and letters of medical necessity. Its clinical reference layer came from Pathway, which Doximity acquired in 2025. OpenEvidence is AI medical search free to verified clinicians and paid for by advertising, with named journal partnerships and enterprise deployment inside Epic. A clinician who wants answers and the paperwork around them in a tool already open looks at Doximity Ask. A health system that wants cited answers inside Epic looks at OpenEvidence.
- One tool for clinical questions and the paperwork around them: cited answers, drug monographs grounded in FDA labelling, uploaded document review, and drafted prior authorisation requests and appeal letters.
- Free to verified US physicians, nurse practitioners, physician assistants and students, inside a network most of them already use, with no paid tier.
- Published terms: a business associate agreement entered with every member at registration, a named SOC 2 Type 2 attestation and a public SOC 3 report.
- Named content partnerships with the New England Journal of Medicine, JAMA and its specialty journals, Cochrane and the National Comprehensive Cancer Network.
- Independent published studies of the product, where Doximity publishes no evaluation of Ask's answers.
- Enterprise deployment embedded in Epic, documented at Mount Sinai, where Ask publishes no record system integration.
This comparison is published by AI Health Index, an independent research platform that compares healthcare AI vendors objectively. Doximity Ask and OpenEvidence are each graded against the same capability taxonomy, from each vendor's own public materials and the regulatory record, under the AI Health Index verification standard. No vendor pays for placement, and no vendor has reviewed this page. How this evidence is graded
Plain facts
| Fact | Doximity Ask | OpenEvidence |
|---|---|---|
| Primary category | Clinical Reference & Evidence | Clinical Reference & Evidence |
| Founded | Not recorded | 2021 |
| Headquarters | San Francisco, California | Miami, Florida |
| Website | doximity.com | openevidence.com |
Side by Side
Each record in one paragraph
Written to be quoted whole. Each paragraph states what the AI Health Index verified about the vendor, with the caveats attached. Generated from this pair’s live capability grades, so it moves when a grade moves.
The AI Health Index records no top capability grade for Doximity Ask on any axis it scores. Set against OpenEvidence, Doximity Ask grades higher on Model and Technology Transparency, AI Governance and Bias Disclosure and AI Liability and Recourse. Grades reflect evidence the AI Health Index could verify at the last review, so a low grade records disclosure the vendor has not published rather than a capability it has been shown to lack.
Source: AI Health Index, September 2026
The AI Health Index awards OpenEvidence its top capability grade on AI Centrality and Security Certifications and Trust Center. Set against Doximity Ask, OpenEvidence grades higher on several axes, including AI Centrality, Clinical and Operational Evidence and Security Certifications and Trust Center. Its thinnest published disclosure sits on AI Liability and Recourse. Grades reflect evidence the AI Health Index could verify at the last review, so a low grade records disclosure the vendor has not published rather than a capability it has been shown to lack.
Source: AI Health Index, September 2026
Questions buyers ask
Should we choose Doximity Ask or OpenEvidence?
On the axes where the AI Health Index separates them, Doximity Ask grades higher on Model and Technology Transparency, AI Governance and Bias Disclosure and AI Liability and Recourse, and OpenEvidence grades higher on several axes, including AI Centrality, Clinical and Operational Evidence and Security Certifications and Trust Center. OpenEvidence leads on the greater share of scored axes, but the split means the decision turns on which constraint is binding rather than on an overall winner.
Where do Doximity Ask and OpenEvidence differ most?
The widest separation the AI Health Index records between Doximity Ask and OpenEvidence is on Model and Technology Transparency, where Doximity Ask grades B and OpenEvidence grades C. That axis sits in the AI Capability group, so it should carry the most weight for a buyer whose binding constraint is how much of the work the model itself is trusted to do.
Where do Doximity Ask and OpenEvidence grade the same?
The AI Health Index grades Doximity Ask and OpenEvidence the same on several axes, including Autonomy and Oversight Model, Model Supply Chain Disclosure and AI Safety and PHI Stewardship. Neither holds an advantage the index can evidence on those axes, so they should not carry weight in a selection between these two.
What have Doximity Ask and OpenEvidence not disclosed?
At the last review, at least one of Doximity Ask and OpenEvidence published thin or absent detail on AI Liability and Recourse. The AI Health Index treats an absent disclosure as a gap in the public record rather than a failure of the product, so these are the axes to get in writing during diligence instead of inferring from the grade.
Related comparisons
Other published head to head assessments involving these vendors or their closest peers. The full set for this category is on the Clinical Decision Support page.
OpenEvidence's record has not yet been reviewed on this site, so its side of this page rests on the build record. Both are free because someone else pays: OpenEvidence shows pharmaceutical and device advertising beside its answers, and Doximity's revenue comes mainly from pharmaceutical marketing across its wider network.
Doximity's PeerCheck panel of more than 12,000 physicians reviews Ask's answers, but no result from that review is published, and no model provider is named. Its member business associate agreement lets Doximity commercialize deidentified data, including for product development, so read it before relying on it. Neither publishes a bias or subgroup performance analysis.