Hospital is a crowded place, and the population health management is very important. In the context of the normalized control of COVID-19, it is crucial to establish a set of insensitive, intelligent and effective crowd diversion management strategies. By deeply integrating information technologies such as big data processing, movement tracking and face recognition, Hangzhou Ninth People′s Hospital built a set of crowd health management and population diversion work mechanism, which included temperature monitoring, health code inspection and epidemiological history investigation. The mechanism could effectively promote the efficiency and accuracy of hospital population health screening under the situation of normalized epidemic prevention and control.