Can arteficial intelligence transform chronic respiratory disease management? Insights from the COPD-ALERT project

Abstract

<bold>Introduction:</bold> Management of COPD poses significant challenges. Artificial intelligence (AI) offers a promising solution for predicting and preventing disease exacerbations, providing accessible and cost-effective personalized care. <bold>Objectives:</bold> The COPD-ALERT project, funded by the HU-RIZONT grant, aims to develop and validate a robust AI-based model to predict COPD exacerbations, and enhance personalized COPD management. <bold>Methods:</bold> Multisource real-world data from Hungary, Poland, and The Netherlands - including clinical records, patient histories, and medication refill patterns - will inform the development and validation of the AI model. The tool will be tested in primary care settings to optimize performance and align with the needs of end-users. Economic analyses will evaluate its cost-effectiveness to support sustainable implementation. <bold>Results:</bold> The development, evaluation and implementation of the AI model will be guided by predefined set of criteria assessing its effectiveness in predicting COPD exacerbations, its impact on patient confidence, and usability for healthcare professionals. Additionally, these criteria will evaluate the model’s applicability and scalability across diverse healthcare settings. <bold>Conclusions:</bold> AI has the potential to transform COPD management by enabling proactive, data-driven, and patient-centred care. Rigorous validation in real-world settings is essential to maximize its impact. Incorporating user perspectives - particularly those of healthcare professionals and patients - prior to implementation is crucial to ensure value and usability. Findings of this study provide guidance for broader AI applications across various chronic conditions.

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