Predictive analytics in healthcare provides insights from advanced data analysis to inform future health events and outcomes. Prediction models and machine learning algorithms can identify patterns in health risks, disease emergence, and patient response to treatments. They enable customised treatment plans, early detection of diseases, improved diagnosis accuracy, and efficient resource management. Key uses include preventing patient readmission, enhancing cybersecurity, managing population health, and detecting early signs of sepsis. Predictor models analyse patients’ information to identify diseases before occurrence, and offer hope for personalised, affordable treatment programs.
Software firm Blue Yonder providing services to US and UK stores, including Starbucks, hit by ransomware attack
Blue Yonder, a supply chain software provider, experienced a ransomware attack which disrupted its services, affecting clients such as Starbucks and UK grocery chain Sainsbury.