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If an AI agent triages patients before their appointment and gets it wrong — missed urgency, inappropriate reassurance, incorrect routing — the safety and liability implications ar...

The future GP consultation is wrapped in AI: precharting before, scribing during, reference in real time, coding and letters after, follow-up later. This article maps the complete ...

What if an AI agent called your patients 24 hours before their appointment — confirming attendance, gathering symptoms, and building a pre-visit brief? This article walks through w...

US primary care has Navina, DeepScribe, and Freed all building pre-visit AI. UK general practice — with 10-minute consultations, locum continuity gaps, and QOF coding demands — arg...

When Abridge can pre-chart, scribe, code, authorise, and generate referrals — it's no longer a scribe. It's an operating system. This article examines how documentation platforms a...

AI precharting promises to cut visit preparation time by 60% — but it also introduces new risks: overcoding under value-based contracts, liability when the AI omits critical findin...

Clinical documentation AI is no longer just a scribe. Abridge is adding pre-charting and prior auth. Freed is adding pre-visit summaries. Nuance is building a full clinical copilot...

The next generation of clinical AI doesn't just write your notes — it calls the patient before the visit, prepares the chart, documents the consultation, codes the encounter, and f...

iatroX's Q-Bank has three distinct modes — Adaptive, Spaced Repetition, and Standard — and each serves a different purpose in your exam preparation. This guide explains when to use...

If you act on AI-generated clinical advice and it harms a patient, who is liable? The short answer: you are. This article explains the medico-legal position on AI in UK clinical pr...

Most clinicians still Google their clinical questions — but Google returns SEO-optimised health content, outdated guidelines, patient-facing pages, and US-centric results for UK qu...

AI hallucination in medicine is not a theoretical risk — published research shows LLMs fabricate drug doses, invent journal references, and repeat planted clinical errors up to 83%...