Hygiene 4.0: Proposing a Conceptual Framework for Artificial Intelligence in Hygiene Management

The growing integration of artificial intelligence (AI) into hygiene management is offering new opportunities to strengthen infection prevention in healthcare. From real-time environmental monitoring to predictive risk assessment, AI may support proactive, continuous, and data-driven approaches to hygiene practice. Building on the concepts of Industry 4.0 and Health 4.0, this Opinion article introduces the term Hygiene 4.0 as a conceptual framework for the integration of AI with digital, automated, and data-driven technologies into hygiene management. Applications include AI-supported hand hygiene surveillance, automated robotics-assisted disinfection, and machine learning for identifying patterns associated with healthcare-associated infections. While these technologies may augment human decision-making and improve the efficiency of hygiene processes, important ethical, legal, and operational challenges remain, including data governance, algorithmic transparency, and the risk of over-reliance on automated systems. A human-centered and interdisciplinary approach is essential to ensure that AI systems are trustworthy and aligned with evidence-based hygiene practices and regulatory standards. As a proposed conceptual framework, Hygiene 4.0 requires further empirical evaluation to determine its potential impact on infection prevention, patient safety, and public health.