The Development of Chatbot Intents for Preventing and Controlling Drug-Resistant Bacterial Infections

Authors

  • Sakaorat Muangman Department of Biostatistics, Faculty of Public Health, Mahidol University, Bangkok, Thailand
  • Pichitpong Soontornpipit Department of Biostatistics, Faculty of Public Health, Mahidol University, Bangkok, Thailand
  • Jutatip Sillabutra Department of Biostatistics, Faculty of Public Health, Mahidol University, Bangkok, Thailand
  • Hathaikan Chootrakool Department of Biostatistics, Faculty of Public Health, Mahidol University, Bangkok, Thailand

Keywords:

Chatbot, Line Developer, Drug-Resistant Bacterial Infections , Google Apps Script

Abstract

             The growing threat of drug-resistant bacteria (DRB) constitutes a major public health challenge at both global and national levels, particularly within hospital environments. In Thailand, the increasing prevalence of DRB has been associated with higher mortality rates and significant economic losses, underscoring the urgent need for effective infection control measures. Communication strategies, especially those targeting healthcare personnel, have been recognized as a critical component in strengthening infection prevention and control practices.

              This study was undertaken to design chatbot intents for delivering educational content on the prevention and control of drug-resistant bacteria (DRB). The chatbot was developed using Dialogflow and integrated into the LINE application. The educational content was aligned with the guidelines of the Centers for Disease Control and Prevention (CDC) and the Ministry of Public Health of Thailand, and its accuracy and completeness were systematically evaluated through the Google Apps Script platform.

                The findings of this study highlight the potential of conversational AI as an innovative tool for enhancing knowledge dissemination and supporting DRB prevention among healthcare professionals, while also offering promising opportunities for further development and application.

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Published

2025-12-15

Issue

Vol. 7 No. 3 (2025): September-December 2025

Section

Research Articles

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