The invention belongs to the technical field of intelligent
ward round, and particularly relates to a clinical intelligent
ward round system. According to the invention, the monitoring period is dynamically matched according to the admission physiological data, so that high-risk patients can be monitored at higher frequency, unnecessary
data acquisition of low-risk patients is reduced,
medical care resource allocation is optimized, behaviors such as turning over, getting up and leaving the
bed are identified based on bedridden pressure
time sequence characteristics, and abnormal behavior
modes or behavior
mutation can be found. The early-stage abnormal conditions such as getting out of
bed,
dysphoria and the like can be quickly found, whether the
vital signs are abnormal or not is judged, the fluctuation trend and rapid change of the
vital signs are recognized, early warning can be provided at the early stage of deterioration of the
vital signs, preposed
health risk management is achieved, abnormal events are fused, and combined recognition of behavior patterns and vital sign abnormity is adopted, so that the early-stage abnormal conditions of the vital signs are recognized. The method is more reliable than a single index.