Laboratory medicine is undergoing a radical transformation, driven by sustained technological innovation, shifting workforce demographics, increasing diagnostic complexity, and mounting systemic pressures within healthcare delivery systems. Contemporary clinical laboratories have progressively transitioned from predominantly technical service units into highly integrated, data-intensive clinical hubs that generate and interpret information central to a large proportion of medical decisions. In parallel, persistent shortages of qualified personnel, escalating administrative and regulatory demands, growing cybersecurity vulnerabilities, and the rapid integration of automation and artificial intelligence (AI) are redefining professional roles, required competencies, and organisational structures. This personal overview aims to summarise the leading structural and systemic trends currently reshaping laboratory medicine, including workforce sustainability and training gaps, the continuous expansion and stratification of diagnostic testing, the evolving burden of infectious diseases and antimicrobial resistance, and the accelerating implementation of automation and AI-supported diagnostic workflows. It further addresses emerging risks such as cyberattacks targeting healthcare infrastructure and the progressive administrative overload affecting laboratory activities. Collectively, these factors highlight the need for adaptive governance models, resilient laboratory systems, and reinforced clinical orientation of laboratory professionals.
The evolving landscape of laboratory medicine: A look into the future
Lippi, Giuseppe
In corso di stampa
Abstract
Laboratory medicine is undergoing a radical transformation, driven by sustained technological innovation, shifting workforce demographics, increasing diagnostic complexity, and mounting systemic pressures within healthcare delivery systems. Contemporary clinical laboratories have progressively transitioned from predominantly technical service units into highly integrated, data-intensive clinical hubs that generate and interpret information central to a large proportion of medical decisions. In parallel, persistent shortages of qualified personnel, escalating administrative and regulatory demands, growing cybersecurity vulnerabilities, and the rapid integration of automation and artificial intelligence (AI) are redefining professional roles, required competencies, and organisational structures. This personal overview aims to summarise the leading structural and systemic trends currently reshaping laboratory medicine, including workforce sustainability and training gaps, the continuous expansion and stratification of diagnostic testing, the evolving burden of infectious diseases and antimicrobial resistance, and the accelerating implementation of automation and AI-supported diagnostic workflows. It further addresses emerging risks such as cyberattacks targeting healthcare infrastructure and the progressive administrative overload affecting laboratory activities. Collectively, these factors highlight the need for adaptive governance models, resilient laboratory systems, and reinforced clinical orientation of laboratory professionals.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.



