Role of Chatbot-Based Artificial Intelligence in Resolving Interprofessional Conflict in the Management of Type 2 Diabetes Mellitus with Obesity: A Scoping Review

Abstract

This scoping review systematically mapped the literature on the role of artificial intelligence-based chatbots in resolving interprofessional conflict in the management of type 2 diabetes mellitus with obesity. A comprehensive search was conducted in Scopus using a combination of targeted queries for chatbot, artificial intelligence, type 2 diabetes, obesity, and interprofessional collaboration. The screening process followed PRISMA-ScR guidelines and included deduplication, title and abstract review, and full-text assessment. Despite an initial pool of 212 articles, no studies met all inclusion criteria, which required a focus on AI chatbots, type 2 diabetes with obesity, and interprofessional conflict or collaboration. Most excluded articles addressed only one or two aspects, such as chatbot use for patient education or diabetes management, without integrating interprofessional dynamics. This review highlights a significant research gap, as no empirical evidence was found on the integration of AI chatbots for conflict resolution among healthcare teams managing type 2 diabetes with obesity. The findings underscore the urgent need for primary research and development of digital interventions specifically designed to support multidisciplinary collaboration and conflict resolution in complex chronic disease care.