Improving Quality of Care - Managing Atrial Fibrillation Through Care Teams and Health Information Technology

This stepped wedge randomized intervention will apply machine learning algorithms in an electronic health record system to identify primary care patients with non-valvular atrial fibrillation (AF) who are at high risk of stroke and not on anticoagulation therapy. An Anticoagulant Management Service (AMS) will offer support to primary care providers regarding treatment for relevant patients (either warfarin and novel oral anticoagulants). This study seeks to: 1. increase the proportion of appropriately anticoagulated patients with AF, 2. understand the reasons for lack of anticoagulation, and 3. document the proportion of patients with AF who are appropriately not anticoagulated (e.g. patient refusal, contraindication).