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A Conversational AI System to Enhance Knowledge About Vaccines and Promote Vaccination

NCT05689073 · Status: COMPLETED · Phase: NA · Type: INTERVENTIONAL · Enrollment: 430

Last updated 2024-01-19

No results posted yet for this study

Summary

This study is designed to contribute to the growing body of evidence on the efficacy of digital health interventions. By rigorously evaluating the impact of the AI system on vaccine knowledge and acceptance, the study aims to inform future health communication strategies and policies. It stands as a potential model for integrating AI into public health initiatives, showcasing how technology can be harnessed to improve health outcomes on a large scale.

Conditions

  • Vaccination Hesitancy

Interventions

DEVICE

Conversational AI system

The conversational AI system based on LLM processes user queries with a sophisticated generation, decision, action, and safety framework to provide optimal feedback. The system has several key features. Firstly, it utilizes retrieval-augmented in-context learning to enhance responses generated by the LLM, sourcing information from trustworthy websites. Secondly, it includes Guardrail module that addresses potential harmful content in the LLM-generated responses by clarifying and validating the content before delivery. Furthermore, the AI system is equipped with Self-checking memory module that retains essential clinical characteristics across multi-turn dialogues, ensuring the continuity and consistency of its interactions with users. The educational content about vaccination was derived from the official website of World Health Organization (https://www.who.int/news-room/questions-and-answers/item/vaccines-and-immunization-what-is-vaccination).

OTHER

Printed educational Brochure

A printed brochure whose content about vaccination was derived from the official website of World Health Organization (https://www.who.int/news-room/questions-and-answers/item/vaccines-and-immunization-what-is-vaccination).

Sponsors & Collaborators

  • Sun Yat-sen University

    lead OTHER

Study Design

Allocation
RANDOMIZED
Purpose
HEALTH_SERVICES_RESEARCH
Masking
TRIPLE
Model
PARALLEL

Eligibility

Min Age
18 Years
Sex
ALL
Healthy Volunteers
Yes

Timeline & Regulatory

Start
2023-05-01
Primary Completion
2023-08-31
Completion
2023-08-31

Countries

  • China

Study Locations

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Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT05689073 on ClinicalTrials.gov