Whole-genome sequencing (WGS) and prediction technologies are emerging as indispensable assets in the prevention and control of healthcare-associated infections and antimicrobial resistance. WGS offers an in-depth examination of the genetic composition of infectious agents, providing a clearer understanding of their evolution, transmission patterns, and resistance mechanisms. In tandem, predictive modelling tools use data-driven insights to forecast outbreaks, identify potential hotspots, and optimize resource allocation. The research presented underscores the potential transformative power of WGS and prediction in infection prevention and control. We will explore how they have enhanced our response to the COVID pandemic and how they are contributing to the long-term goal of creating a healthcare system that is more resilient, adaptive, and patient-centred. By bringing together cutting-edge technology and innovative research, personalized infection prevention is becoming a tangible reality that promises a paradigm shift in how we prevent and control healthcare-associated infections.