Journal

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.

Four different clinical AI platforms are solving four related but genuinely distinct trust problems. The next competitive frontier is not more citations, but clearer provenance, hi...

DoxGPT, now Doximity Ask, is a free HIPAA-compliant AI assistant for verified US physicians, with clinical answers, drug monographs and physician-verified citations. But it is US-o...

Doximity, Sermo, and Figure 1 are three of the biggest physician communities, but they do genuinely different jobs: professional networking and workflow, global peer discussion wit...

Doximity's model shows a flywheel: clinician network → workflow tools → AI usage → data → insight products → partnerships. iatroX can build a UK version around clinical questions, ...

Doximity builds trust through PeerCheck (physician review) and intelligence through DocInsight. iatroX offers a UK trust model built from provenance, regulatory readiness, validati...

US health-AI companies may understand physician engagement. UK market entry requires different intelligence: NHS procurement, MHRA, DTAC, clinical safety, guideline localisation, a...

Doximity's DocInsight is part of a 'closed-loop ecosystem.' Commercially powerful — but in the UK, trust requires clear boundaries between clinical answers, aggregate insights, and...

The Doximity-Aledade partnership shows that clinical AI becomes most valuable inside the workflow. iatroX Insights offers UK partners custom clinical AI projects, validation, and r...

HCP surveys capture what clinicians say they do. Clinical-intent data captures what they are trying to understand at the point of uncertainty. That is a fundamentally different and...

DocInsight shows the value of physician behavioural data. In the UK, one of the most valuable equivalents is guideline-friction intelligence: where clinicians repeatedly need help ...

Clinical questions reveal uncertainty, friction, and educational need at the moment of decision. In aggregate, they map where the knowledge infrastructure is failing frontline prof...