Leveraging Technology for health: The evolution of predictive maintenance in the Italian healthcare sector.

In the current industrial context, which is increasingly focused on digitalization and interconnectivity, predictive maintenance is emerging as a strategic solution to improve operational efficiency and reduce costs. This innovative approach leverages advanced technologies to anticipate failures and malfunctions before they occur, enabling proactive management of equipment and facilities. Predictive maintenance is a process that uses real-time data analysis on machine performance and wear to anticipate potential failures or maintenance needs. This approach allows maintenance to be scheduled at strategic times, preventing unexpected downtimes that could compromise productivity and increase operational costs. Industry 4.0, predictive maintenance represents a strategic evolution, shifting from a reactive approach to a data-driven one. Companies that adopt it leverage data intelligence to prevent failures, optimizing maintenance management. In particular, there is a shift toward a proactive approach to maintenance management even in the healthcare sector, where the use of IoT, artificial intelligence, and big data to monitor equipment conditions in real time allows interventions only when the data indicate an imminent failure, thereby preventing malfunctions and reducing downtime. The rise in diseases, disparities in healthcare, and increasing medical costs are critical challenges for modern society. To improve quality of life, it is essential to provide personalized care, optimize healthcare management, and develop sustainable support systems. In addition to medical advances, it will be crucial to integrate advanced technologies with social infrastructure, digitize information, and leverage artificial intelligence and data analytics to drive innovation in the healthcare sector. Despite its advantages in terms of efficiency and safety, predictive maintenance requires advanced infrastructure, specialized personnel, and initial investments. However, with technological progress, more and more hospitals are expected to adopt this approach, improving resource management and making the healthcare system more resilient and patient-centered. This study aims to thoroughly examine the level of adoption and implementation of predictive maintenance practices within healthcare organizations in our country, with a focus on understanding how widely these technologies are being integrated into the management of medical equipment and infrastructure.