The Bottom Line
- The differentiator is not ‘AI’; it’s the evidence model: editorial, guideline-grounded, local-pathway search, or literature-summarisation.
- Don’t judge tools by how persuasive they sound—judge them by: citations, uncertainty, scope limits, and reproducibility of answers.
- If you’re UK/NHS-based, ‘local policy + access + governance’ matters as much as raw answer quality.
AI clinical search tools are converging on the same promise: faster answers with citations. The practical differences are underneath: what corpus they search, whether they include local guidance, what happens when they are uncertain, and how transparent they are about sources. This toolkit summarises what the leading tools publicly claim, then gives you a robust, non-clinical evaluation rubric so you can decide where each fits in your workflow.
What these tools publicly claim (high-level)
Medwise positions itself as a clinician information platform and a customisable search layer that can make local guidelines/pathways instantly searchable. Praktiki positions as instant answers from trusted UK guidance with an explicit ‘no hallucinations’ claim. OpenEvidence positions around cited answers for doctors and announced a strategic content agreement with JAMA Network to inform answers. MediSearch positions as science-based answers to medical questions and highlights scientific references.
Evaluation rubric (use this before you trust anything)
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1) Corpus fit (what is it actually searching?)
Is it UK guidance? Literature? Local Trust pathways? Mixed web? If the corpus doesn’t match your context, the output can be ‘correct’ but operationally wrong (e.g., not aligned to local policy).
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2) Citation quality (can you click through and verify?)
A useful tool surfaces sources you can open and check. If you can’t reproduce or verify, treat it as an idea generator, not a reference.
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3) Uncertainty behaviour (what happens when it doesn’t know?)
Does it admit uncertainty and stop? Or does it keep generating plausible-sounding content? Tools that explicitly constrain hallucinations are making a promise you should pressure-test.
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4) NHS workflow reality (access, mobile, login friction)
If the tool is too hard to access during real work, you will revert to the fastest alternative. Access friction is a silent killer of adoption.
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5) Governance signals (who is it for, and how is it deployed?)
For UK/NHS use, ask: does the tool describe organisational deployment, information governance posture, and how local content is handled? If not, it may still be useful personally—but don’t assume enterprise suitability.
The ‘false confidence’ trap
The most dangerous failure mode is not being ‘wrong’; it is being wrong in a way that looks coherent. Your safety behaviour should be: read the answer, then immediately verify the strongest claim via the linked source(s), especially when it would change an action.
SourceMedwise: organisational value proposition (official)
Open Link SourcePraktiki: product claims (official)
Open Link SourceOpenEvidence: JAMA Network content agreement (official announcement)
Open Link SourceMediSearch: product positioning (official)
Open Link