Effect of an artificial intelligence-assisted tool on non-valvular atrial fibrillation anticoagulation management in primary care: protocol for a cluster randomized controlled trial.

Journal: Trials
Published Date:

Abstract

BACKGROUND: Atrial fibrillation (AF) is one of the most common cardiac arrhythmia diseases. Thromboembolic prophylaxis plays an essential role in AF therapy, but at present, general practitioners (GPs) are presumed to lack the knowledge and enthusiasm for AF management. Clinical decision support systems (CDSS), assisted by artificial intelligence, help primary care providers (PCPs) make quick, individualized, and correct clinical decisions. This primary aim of the study is to identify whether the promotion of the CDSS would improve the primary care provided to patients with AF. The secondary objectives are mainly to assess the health-economic and clinical benefits from using the CDSS, and the improvement of GPs' AF management capability.

Authors

  • Xueying Ru
    Department of General Practice, Zhongshan Hospital, Fudan University, Shanghai, China.
  • Lan Zhu
    Department of General Practice, Zhongshan Hospital, Fudan University, Shanghai, China.
  • Yunhui Ma
    Department of General Practice, Zhongshan Hospital, Fudan University, Shanghai, China.
  • Tianhao Wang
    Department of General Practice, Zhongshan Hospital, Fudan University, Shanghai, China.
  • Zhigang Pan
    Department of General Practice, Zhongshan Hospital, Fudan University, Shanghai, China. zhigang_pan@163.com.