Hybrid Method Incorporating a Rule-Based Approach and Deep Learning for Prescription Error Prediction.
Journal:
Drug safety
Published Date:
Nov 12, 2021
Abstract
INTRODUCTION: Recently, automated detection has been a new approach to address the risks posed by prescribing errors. This study focused on prescription errors and utilized real medical data to supplement the Drug Utilization Review (DUR)-based rules, the current prescription error detection method. We developed a new hybrid method through artificial intelligence for prescription error prediction by utilizing actual detection accuracy improvement to reduce 'warning fatigue' for doctors and improve medical care quality.