In the development of sepsis treatment of recent years, the demand for medical manpower has increased significantly when patients with sepsis appear because of the expansion of medical care demand and shortened response time related to sepsis Due to the shortage of manpower, a more simple and easy-to-operate inspection method is adopted and artificial intelligence technology is used to assist in the evaluation. The applicability of physiological indicators MEWS, qSOFA and physiological parameters combination as sepsis screening tools in emergency department (ED) and predicting sepsis outcome in the emergency department. When patients with sepsis appear, artificial intelligence technology is used to remind the physicians to respond and administer drugs as soon as possible. This is a single-center retrospective study of a group of patients admitted to the emergency department. The medical records were reviewed, mainly based on the hospital site records and the existing vital signs of the patients. Attended a hospital emergency room between January 2020 and December 2022. Physiological numerical indicators MEWS and qSOFA were all scored to understand the distribution of sepsis.
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qSOFA used in emergency medicine department
Timeframe: From date of randomization until the date of first documented progression assessed up to 36 months
Modified Early Warning Score(MEWS) which quickly determine whether a particular patient needs increased medical attention
Timeframe: From date of randomization until the date of first documented progression assessed up to 36 months
physiological parameters combination
Timeframe: From date of randomization until the date of first documented progression assessed up to 36 months