Effect of the AI tracking system in the post-discharge follow-up of patients with suspected novel coronavirus infection
Objective To explore the effect of the artificial intelligence(AI)tracking system in the post-discharge follow-up of patients with suspected novel coronavirus infection.Methods With the help of an AI tracking system,a voice template was developed for the post-discharge follow-up tracking of patients with suspected novel coronavirus infection,with which the AI tracking follow-up was implemented in the patients.Results Of 203 patients and 1,421 person-time needed to be followed up in the hospital,202 patients(99.5％)and 1,355 person-time(95.4％)were successfully followed up.A total of 12 patients(5.9％)with fever and 41 patients with cough(20.2％,36 cases improved,1 case aggravated,and 4 cases did not change afterwards)were followed up.After the AI tracking follow-up failed,66 person-time were followed up manually,with an average of 6.7 days of continuous follow-up per patient.Conclusion In the post-discharge follow-up of patients with suspected novel coronavirus infection,the AI tracking system can save the follow-up time,improve work efficiency,make epidemic control more efficient and intelligent,and effectively improve epidemic prevention and control efforts.
国家科技期刊平台
NSTL
万方数据
