Early Warning Score Combined With Bedside Assessments: Accelerating Emergency Care To Improve Prognosis

Brief Summary This study, sponsored by the National Natural Science Foundation of China and conducted at the Emergency Department (ED) of Jiangnan University Affiliated Hospital, aims to optimize emergency care for critically ill patients via combining "early warning scoring" and "bedside rapid assessment". Why the Study? Delayed identification of emergency patients at high risk of deterioration worsens outcomes; traditional assessments often miss subtle deterioration signs. This study seeks a more efficient assessment approach to help clinicians recognize high-risk patients earlier and start targeted treatment faster. Eligibility 200-300 participants will be recruited from the hospital's ED for acute diseases (e.g., severe infection, heart failure, trauma). Inclusion: aged 18-80, with informed consent (or family consent if unable to communicate). Exclusion: severe mental illness, non-intervenable terminal illness. Study Process All participants receive routine emergency care. The research team uses a new combined assessment tool: first a 2-minute bedside rapid assessment (vital signs, consciousness, breathing), then early warning scoring to classify risk. Doctors adjust treatment priority based on results. The team records time from admission to treatment initiation and 72-hour condition changes. No additional invasive procedures/experimental drugs are used, and no extra cost for assessments. Potential Benefits Participants may get more timely, targeted emergency care (reducing deterioration risk and hospital stay). Study results will improve emergency care at this and other hospitals, benefiting more emergency patients. Study Leadership Principal Investigator: Dr. Jun Liu (Attending Physician, ED of Jiangnan University Affiliated Hospital) Responsible Party: Jiangnan University Affiliated Hospital (Sponsor) Ethical Approval: Approved by the hospital's Medical Ethics Committee (Approval No.: To be filled with actual number)