Personalised Real-time Interoperable Sepsis Monitoring (PRISM)

The intervention in this study involves an AI-driven clinical decision-support system, VIOSync Sepsis Prediction Index (SPI), designed for the early prediction of sepsis in patients undergoing abdominal surgery. VIOSync integrates data from PPG-based wearable wireless devices that monitor vital signs, electronic health records, and laboratory tests. The AI model analyzes this multimodal data to proactively identify signs of sepsis providing an early warning score, the SPI, to clinicians. The distinguishing feature of this intervention is its use of real-time data and advanced AI analytics to enhance early sepsis detection, aiming to improve patient outcomes in postoperative care.