Evaluation of the effectiveness of an algorithm to predict COPD exacerbations in primary care: an interrupted time series analysis

Key Points

• This research aims to evaluate the effectiveness of the CEX-HScore algorithm for predicting COPD exacerbations.
• Interrupted time series analysis was used to assess the impact of CEX-HScore implementation.
• Focus was placed on newly diagnosed COPD patients and their coding accuracy.
• Long-term data collection is recommended for further evaluation.
• Implementation of CEX-HScore suggests improvement in coding accuracy for COPD exacerbations in newly diagnosed patients.
• Further data points are required to assess long-term effectiveness on clinical outcomes.