Abstract

Introduction: The integration of artificial intelligence (AI) in healthcare, particularly to support personnel absence management for nurses in hospitals, offers significant potential and challenges. Technological advances have already improved the quality of patient care through precise diagnostics and efficient monitoring. However, the shortage of qualified medical personnel remains a critical challenge. Objectives: AI can analyze staff schedules, illness statistics, and employee profiles to proactively identify potential bottlenecks and absences. This enables preventive measures to minimize staff shortages and improve staffing efficiency, ensuring the continuity of patient care. Methodology: Research shows that AI-based approaches in other industries have been successfully used to predict absences and optimize management strategies. For example, predictive algorithms have been developed to reduce financial losses and inefficient workflows. Results: The application of such technologies in the hospital environment shows promising approaches, such as the development of apps that simplify the process of short-term staff replacements. Conclusions: However, challenges remain, particularly regarding the legal and organizational implementation of such systems in hospital operations. Labor law provisions and the need for human intervention in short-term absences present significant hurdles. In summary, AI can support personnel absence management in hospitals and increase efficiency. However, careful planning and adaptation to legal frameworks are required to fully realize its potential.