AI for Medication Safety: Detecting High-Risk Polypharmacy at Population Scale
Polypharmacy and anticholinergic burden are leading, preventable causes of avoidable harm in primary care, yet identifying the patients most at risk across a large population remains a manual, time-intensive task. This talk presents a decision-support tool — now deployed across an NHS primary-care provider — that applies unsupervised machine learning to surface high-risk patients for clinician-led medication review, illustrating how AI can be embedded responsibly into critical healthcare workflows.