Critically ill patients

• Led by nursing professionals, our hospital integrates nursing practice, critical care medicine, information engineering, and artificial intelligence technologies to develop a Comprehensive Modular AI System for Critical Care Nursing.
• The system addresses three high-risk clinical care scenarios—agitation (RASS), physical restraint risk, and acute delirium—and incorporates IoT-based real-time urine output monitoring and alerting, as well as intravenous medication Y-site compatibility assessment, to support the establishment of a comprehensive critical care and patient safety management framework.
• The system automatically retrieves patients’ clinical data from the preceding eight hours and performs continuous 24-hour real-time inference and risk stratification. Through real-time alerts for abnormal urine output and medication compatibility assessments, the system provides timely clinical decision-support information, enabling nursing staff to intervene at an early stage. All modules are delivered through visualized interfaces to support clinical nursing practice.
• The system has been implemented in five adult intensive care units, generating an average of over 6,200 inferences per day with a 100% system operation rate. Following implementation, the physical restraint rate decreased from 5.62% to 4.89%, the incidence of delirium declined from 27.63% to 23.85%, and nursing task time was reduced from an average of 8 minutes to 2 minutes and 34 seconds, collectively contributing to enhanced patient safety and improved care efficiency.

• First-of-its-kind integration of multi-dimensional clinical data and AI technologies to perform automated RASS classification and acute delirium risk prediction, combined with a clinical decision support platform to assist in sedation medication adjustment, establish preventive mechanisms, and enhance patient safety.
• Integration of AIoT-based real-time urine output monitoring and analysis, providing immediate alerts for high-risk conditions such as oliguria and polyuria.
• Visualization interfaces present risk assessment results, care recommendations, and intravenous medication compatibility evaluations, supporting routine clinical nursing workflows.