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Risk assessment of potential stroke in patients with atrial fibrillation (AF) is a fundamental component of AF disease management. Electronic medical record (EMR) use affords clinicians easier access to key cardiovascular risk factors when treating AF patients. The primary focus of this study was to evaluate documented risk assessment via widely accepted risk stratification schemes and subsequent appropriate anticoagulant therapy in AF patients at an academic medical center. We performed a retrospective chart review of hospitalized adult patients possessing a discharge diagnosis of AF. In the event of multiple admissions, the patient’s initial hospitalization within the specified time period was evaluated. Patients identified were separated into those initiated on oral anticoagulation (OAC) during hospitalization and those who were not. Patients not started on OAC therapy were analyzed to determine the appropriateness of withholding OAC agents. Of 262 OAC-eligible patients not receiving anticoagulation, CHADS2 was documented in the EMR for 60 patients (23%), and CHA2DS2–VASc was documented for nine patients (3%). Three patients (1%) not receiving anticoagulation had both CHADS2 and CHA2DS2–VASc documented. Based on calculated risk stratification and the documented presence of contraindications, 32 of 262 patients (12%) were considered to have OAC therapy inappropriately omitted. Hypertension emerged as the single predictor of inappropriate omission of OAC therapy in these patients. Despite EMR implementation, a significant number of OAC-eligible AF patients do not receive appropriate anticoagulant therapy. EMR-based clinical decision support tools boosting awareness of patient OAC eligibility may improve compliance with guideline-based AF treatment strategies.

the journal of innovations in cardiac rhythm management

Electronic Medical Record (EMR)-derived Appropriate Inpatient Risk Stratification and Anticoagulant Treatment of Atrial Fibrillation at a Large Academic Medical Center: Opportunities for EMR-based Clinical Decision-making Support Tools