Stroke is a devastating event that has important clinical, social and economic consequences for the patient, their family, the NHS, social services and the wider community. Atrial Fibrillation (AF) is a common heart rhythm abnormality which is associated with an approximately five-fold increased stroke risk and twice the risk of death compared to those without AF.
Anticoagulation (AC) reduces the high risk of stroke in patients with Atrial Fibrillation (AF). We used linked patients’ records to understand how closely services follow appropriate clinical guidelines for stroke prevention. We have developed algorithms to monitor patients’ AC status and stroke risk scores based on electronic health records (EHR’s) in order to create a dynamic prediction model for evaluation of the impact of AC treatment on clinical outcomes at an individual and population level.