Previously submitted to: Journal of Medical Internet Research (no longer under consideration since Jul 23, 2025)
Date Submitted: Dec 31, 2024
Warning: This is an author submission that is not peer-reviewed or edited. Preprints - unless they show as "accepted" - should not be relied on to guide clinical practice or health-related behavior and should not be reported in news media as established information.
Application of Artificial Intelligence Telephone-based Follow-up in Post-marketing Surveillance of the Adverse Events Elicited by Vaccines：Usability Study
ABSTRACT
Background:
Conducting follow - ups on vaccinated patients through artificial - intelligence - based telephone calls provides an innovative method for the active monitoring of vaccine adverse events (AEs) .
Objective:
Investigate the application effectiveness of artificial intelligence (AI) telephony in collecting adverse events (AEs) data in children after vaccination.
Methods:
The study cohort comprised individuals who received influenza, diphtheria-tetanus-pertussis/pentavalent vaccines (including acellular pertussis components), and varicella vaccines at community health centers from 1 August to 31 December 2023. Baseline data were collected, and follow-up calls were made using an AI telephone 7 and 28 days after vaccination to understand the AEs after vaccination.
Results:
A total of 1976 vaccine recipients participated in the study, and 2045 doses of vaccines were administered. The average age of participants was 2.17 (range, 1.00–4.58) years. A total of 4090 AI telephone follow-ups were collected (2045 follow-ups on days 7 and 28, respectively). The success rate, response rate, and information collection completeness rate of day-7 telephone calls were 65.67%, 95.38%, and 89.80%, respectively; those of day 28 were 56.43%, 96.79%, and 85.18%, respectively. On day 28 of follow-up, the call success rate and response rate in Xinshi Community Health Center were higher than those in Jun'an Community Health Center (P < 0.05), and the call success rate and response rate among the guardians of vaccine recipients aged 7 months to 2 years were significantly higher (P < 0.05).
Conclusions:
We demonstrated the efficiency and accuracy of the AI telephone-based active monitoring of AEs after vaccination. This methodology could be used for post-marketing surveillance of the AEs elicited by vaccines.
Citation
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