Effect of Clinical Decision Support Alerts on Anticoagulation Management in Atrial Fibrillation

Anticoagulation decisions in atrial fibrillation (AF) depend on balancing stroke and bleeding risk, often guided by CHA<sub>2</sub>DS<sub>2</sub>-VASc (a validated clinical score used to estimate stroke risk in patients with atrial fibrillation) and HAS-BLED (a validated clinical score used to estimate bleeding risk in patients treated with anticoagulation) scores. Manual calculation of these scores can be time-consuming and inconsistently performed.This study evaluated whether implementing real-time, electronic health record (EHR)-integrated alerts in a rural academic primary care clinic would influence physician and non-physician provider (NPP) behavior around anticoagulation management.A single-arm observational study was conducted from March 2024 to September 2025 at a West Virginia University (WVU) Family Medicine Clinic. A rules-based engine in Epic calculated risk scores using 1 year of structured data and displayed them within a non-interruptive "Our Practice Advisory" alert. Physician or NPP interaction-defined as initiation of anticoagulation, documentation of rationale, or adding exclusion diagnosis to problem list-was analyzed using chi-square testing.Among 313 patients triggering the alert, 53 (16.9%) were newly started on anticoagulation, 112 (35.8%) had a documented rationale for not initiating therapy, and 2 had the exclusion diagnosis added to their chart. In total, 50.5% of patients had a clinically meaningful interaction with the tool (χ<sup>2 </sup>= 9.82, <i>p</i> = 0.0017). Across 2,447 encounters, the overall alert success rate was 19.8%, reflecting encounter-level engagement. Common acknowledgment reasons included corrective measures completed, high bleeding risk, recent procedures, and patient refusal. Physician and NPP comments informed iterative refinement, leading to expanded acknowledgment options.Real-time alerts displaying stroke and bleeding risk scores were associated with meaningful physician and NPP engagement, particularly for initiating anticoagulation in high-risk patients. While most interactions reflected review rather than treatment change, the tool appeared to support point-of-care decision-making. These findings support further investigation of EHR-based advisories to improve anticoagulation management in AF.

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Publication Details

Journal
Applied Clinical Informatics
Published
2025-10-01
DOI
https://doi.org/10.1055/a-2765-6969
Primary Topic
Electronic Health Records Systems
Type
article
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article

Effect of Clinical Decision Support Alerts on Anticoagulation Management in Atrial Fibrillation

Brian Dilcher, Zulkifl Jafary, Joseph E. Capito
Applied Clinical Informatics
Electronic Health Records Systems
article

Effect of Clinical Decision Support Alerts on Anticoagulation Management in Atrial Fibrillation

Brian Dilcher, Zulkifl Jafary, Joseph E. Capito
article en

Abstract

Anticoagulation decisions in atrial fibrillation (AF) depend on balancing stroke and bleeding risk, often guided by CHA<sub>2</sub>DS<sub>2</sub>-VASc (a validated clinical score used to estimate stroke risk in patients with atrial fibrillation) and HAS-BLED (a validated clinical score used to estimate bleeding risk in patients treated with anticoagulation) scores. Manual calculation of these scores can be time-consuming and inconsistently performed.This study evaluated whether implementing real-time, electronic health record (EHR)-integrated alerts in a rural academic primary care clinic would influence physician and non-physician provider (NPP) behavior around anticoagulation management.A single-arm observational study was conducted from March 2024 to September 2025 at a West Virginia University (WVU) Family Medicine Clinic. A rules-based engine in Epic calculated risk scores using 1 year of structured data and displayed them within a non-interruptive "Our Practice Advisory" alert. Physician or NPP interaction-defined as initiation of anticoagulation, documentation of rationale, or adding exclusion diagnosis to problem list-was analyzed using chi-square testing.Among 313 patients triggering the alert, 53 (16.9%) were newly started on anticoagulation, 112 (35.8%) had a documented rationale for not initiating therapy, and 2 had the exclusion diagnosis added to their chart. In total, 50.5% of patients had a clinically meaningful interaction with the tool (χ<sup>2 </sup>= 9.82, <i>p</i> = 0.0017). Across 2,447 encounters, the overall alert success rate was 19.8%, reflecting encounter-level engagement. Common acknowledgment reasons included corrective measures completed, high bleeding risk, recent procedures, and patient refusal. Physician and NPP comments informed iterative refinement, leading to expanded acknowledgment options.Real-time alerts displaying stroke and bleeding risk scores were associated with meaningful physician and NPP engagement, particularly for initiating anticoagulation in high-risk patients. While most interactions reflected review rather than treatment change, the tool appeared to support point-of-care decision-making. These findings support further investigation of EHR-based advisories to improve anticoagulation management in AF.

Applied Clinical InformaticsVol. 16(05)
West Virginia University (US)
Openalex Percentile: Top 51%
Electronic Health Records Systems
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