Case Study
Reducing Risk of Stroke for AFib Patients
Learn how IQVIA Healthcare-grade AI identified patients at high risk of stroke, enabled targeted interventions and personalized care plans.
Feb 12, 2025
Learn how IQVIA and the NHS implemented a predictive Machine Learning (ML) model using electronic medical record (EMR) data to reduce the risk of stroke in AFib patients.
The implementation of this predictive model led to significant improvements in patient outcomes including the reduction in stroke incidence by approximately 22% during the implementation phase compared to the prior period and an estimated annual savings of approximately $2 million in healthcare costs and $7 million in socio-economic burden costs.