Exploration on Clinical Application of Digital Twin-Based Artificial Intelligence Decision System for Critical Care

INTERVENTION: DT group:First use the digital twin system, then the conventional medical assistant system.;MA group:First use the medical assistant system, then the digital twin system.; CONDITION: Critically ill Patient PRIMARY OUTCOME: completeness scores of medical orders ;number of erroneous medical orders; SECONDARY OUTCOME: Ward round time;satisfaction survey; INCLUSION CRITERIA: First‐ to third‐year resident physicians at Sir Run Run Shaw Hospital, Zhejiang University School of Medicine: 1. Age 18 or older, ICU residents (1st to 3rd year) who have completed or are undergoing standardized residency training. 2. Willing to participate in this study and have signed the informed consent form. 3. Able to complete simulated rounds and use the relevant software systems.