Atrial Fibrillation increases stroke risk fivefold, demanding proactive patient management. IQVIA partnered with the UK NHS to apply a predictive ML model using EMR data, analyzing demographics and clinical risk factors such as hypertension, diabetes, and vascular disease. Pharmacist support helped ensure best practice adoption and clinic capacity. The model identified high-risk patients for targeted interventions and improved use of anticoagulation therapy. Results showed a 22% reduction in annual AFib-related strokes and $2 million in healthcare cost savings, along with $7 million in reduced socio-economic burden, highlighting measurable clinical and financial impact.

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