Journal

Reliability means factual correctness, citation support that actually supports the claim, currency, local applicability and honest uncertainty, not a vendor's confidence. How to co...

Choose an AI tool by what you actually need it to do, clinical answers, learning, exam preparation, simulation or documentation, rather than by an arbitrary league table. Reference...

Four different starting propositions: evidence retrieval, broad clinician assistance, documentation workflows and integrated clinical learning. A dated adoption panel, a defined cl...

Suitability before user counts: clinical setting, role, learning needs, source relevance and access eligibility. ChatGPT for Clinicians' US-only eligibility as a concrete example, ...

OpenEvidence, Heidi and Doximity publish impressive numbers in incompatible units. Here is how to read their adoption claims without inventing a medical AI league table.

Independently reproducing the core Epic use case without any real patient data: eleven synthetic record flaws, six clinical questions, nine scoring dimensions, and the proposal for...

The true strategic ambition behind this announcement appears broader than clinical search: a governed environment spanning clinical work, research, operations, business and softwar...

PubMed is a literature database. Clinical decision support requires an additional layer that selects, grades, synthesises and contextualises the literature. Five stages, one clinic...

OpenAI and OpenEvidence are converging from opposite directions inside the same EHR: one starting as a broad enterprise workspace adding patient context, the other starting as a cl...

ClinicalKey AI, Dyna AI, UpToDate Expert AI, OpenEvidence and ChatGPT for Clinicians compared by jurisdiction: a powerful global evidence tool is not automatically the right tool f...

The published protocol for a transparent, repeatable benchmark of AI prescribing-information tools: 100 to 150 fictional questions, ten scoring domains, blinded expert review, and ...

A real citation can sit under a wrong answer: five citation failures, the 2026 evidence that even the best AI drug-information tools score below pharmacists, and the verification s...