Multi-Agent Chatbot for Early Chronic Kidney Disease Using Flowise No-Code Platform, Democratising Health Software Development
Authors: Fajoyomi, J., Meacham, S.
Conference: 14th Computing Conference 2026
Dates: 09/07/2026
Publication Date: 09/07/2026
Abstract:Chronic Kidney Disease (CKD) is a global health challenge often di-agnosed late, when opportunities for slowing progression are limited. Early life-style intervention and patient self-management can substantially improve out-comes. This study presents a multi-agent chatbot system designed to support early CKD intervention, developed using the no-code Flowise AI platform. The approach demonstrates how no-code tools can democratise software develop-ment, enabling the rapid creation of intelligent health applications without ex-tensive programming expertise. System requirements were derived from a re-view of CKD self-management apps and refined through MoSCoW prioritisa-tion, covering dietary guidance, symptom monitoring, exercise, medication ad-herence, and education. While an initial Figma prototype was used to visualise user requirements, the implementation focused on a multi-agent chatbot com-prising a Supervisor, Diet Coach, and Symptom Manager, integrated with KDIGO clinical guidelines. Evaluation with 12 healthcare professionals pro-duced positive feedback, with mean scores above 4.2/5 for usefulness, usability, and perceived accuracy. The study highlights the potential of combining multi-agent architectures with no-code development to deliver accessible, personal-ised digital health tools. Future work will expand the agent set, integrate patient data, and evaluate the system in clinical contexts.
Source: Manual