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.

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