Lay summary
This research project aims to evaluate an advanced multi-layered predictive system, using artificial intelligence and machine learning, to assess the burden of sepsis and its associated complications, such as amputation, mortality, ICU days, and sepsis itself, among the Aotearoa NZ population. Sepsis is a life-threatening condition that poses a significant threat to public health, and this study acknowledges the higher risk faced by certain communities, including Māori. By harnessing the power of big data from electronic health records and historical incidence rates, this multi-layered framework will identify crucial risk factors and patterns that lead to sepsis and its related outcomes. The primary goal is to create an advanced decision support system for health practitioners, executives, researchers, and funders, which can significantly improve investments in health outcomes whilst targeting specific interventions to key populations and facilities. The potential benefits of this research are substantial.