AI追踪系统应用于新型冠状病毒感染疑似患者出院后随访的效果  

Effect of the AI tracking system in the post-discharge follow-up of patients with suspected novel coronavirus infection

作　　者：王来福 林秀萍 WANG Laifu;LIN Xiuping(Shenzhen Hospital of Southern Medical University,Shenzhen 510086,Guangdong Province,China)

机构地区：[1]南方医科大学深圳医院,广东省深圳市510086

出　　处：《内科》2024年第3期308-312,共5页Internal Medicine

摘　　要：目的探讨人工智能(AI)追踪系统在新型冠状病毒感染疑似患者出院后随访的效果。方法借助某AI追踪系统,制定新型冠状病毒感染疑似患者出院后随访追踪语音模板,并对患者实施AI追踪随访。结果全院共需追踪患者203例,需随访1421人次,成功追踪随访患者202例(99.5%),成功随访1355人次(95.4%)。共追踪随访发热患者12例(5.9%),咳嗽患者41例(20.2%,其中36例较前好转、1例加重、4例无改变)。AI追踪随访患者失败后采取人工追踪随访66人次,平均每位患者持续追踪6.7 d。结论AI追踪系统应用于新型冠状病毒感染疑似患者出院后的追踪随访,可节约随访时间,提高工作效率,使疫情管控工作更加高效和智能,有效提升疫情防控力度。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.

关 键 词：接触者追踪 新型冠状病毒感染 追踪系统 随访 人工智能 

分 类 号：R197.3[医药卫生—卫生事业管理] TS736[医药卫生—公共卫生与预防医学]