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This paper tests an LLM on real NHS (National Health Service) medication reviews and finds it spots risks but misses safe fixes. They ran a medication safety reviewer on structured United Kingdom National Health Service (NHS) primary care records, mostly coded fields without typed notes, then had an expert clinician grade 277 sampled patients. AI did not miss any case where an intervention (a clear action, like starting or stopping a drug) was needed, but it produced a fully correct review in only 46.9% of patients. When it failed, the main issue was context, for example acting confident with missing details, applying guidelines (the usual best practice rules) without patient goals, or mixing up drug facts. The paper argues this gap between spotting risk and choosing the right next step is why LLMs still need human checking in real clinics. ---- Paper Link – arxiv. org/abs/2512.21127 Paper Title: "A Real-World Evaluation of LLM Medication Safety Reviews in NHS Primary Care"














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