EHR-Embedded Decision Support to Prevent Stroke in Patients With AF

Background and Significance - Atrial fibrillation (AF) is the most common significant cardiac rhythm disorder and is a powerful common risk factor for stroke. Randomized trials have demonstrated that anticoagulation can reduce the risk of stroke in patients with AF. Yet, there continues to be widespread underutilization of this therapy. To address this practice gap locally and improve stroke prevention for patients with AF in the UC Health system, the investigators have assembled an interprofessional team, the Cincinnati Atrial Fibrillation Initiative (CAFI). Objectives - The objective of this project, "EHR-Embedded Decision Support to Prevent Stroke in Patients with AF", is to improve thromboprophylaxis treatment decisions for patients with non-valvular AF and to increase awareness of the underutilization of appropriate thromboprophylaxis in the University of Cincinnati Health system, including vulnerable populations with health disparities. To achieve this objective, the investigators will implement and evaluate the effectiveness of an Atrial Fibrillation Decision Support Tool (AFDST), embedded within the UC Health electronic health record (EHR) that will: (a) identify at the point of care, patients who might benefit substantially from a change in their current thromboprophylaxis; (b) provide patient-tailored guidance to support decision-making; and (c) provide an opportunity to refer the patient to a pharmacist-staffed AF Thromboprophylaxis Shared Decision-Making consultation service. Overview of Study Design - The overarching goal is to improve the rate of "appropriate thromboprophylaxis" by eliminating system barriers through provision of appropriate decision support in the right place and at the right time, that improves provider and patient knowledge about AF-related stroke risks, bleeding risks, practice gaps in prevention, and how to think about balancing risks and benefits of anticoagulation therapy, and by improving patient engagement in decision-making