Implementation of Artificial Intelligence in Critical Care Workflow: A Case Study from a Tertiary Academic Hospital Abstract: A large academic hospital integrated an AI-driven system into its clinical decision support infrastructure to automatically detect abnormal lab results and notify the appropriate care teams in real-time. This implementation led to a 28% reduction in time-to-intervention for critical care patients, without hiring additional staff. This initiative showcases the efficiency gains achievable through intelligent automation in high-stakes medical environments. Introduction Critical care settings demand rapid responses to physiological changes. Delays in identifying and acting on abnormal laboratory findings can lead to adverse outcomes.…