Diseño e implementación de un agente conversacional para optimizar el consumo de medicamentos en adultos mayores en la ciudad de Cuenca

Abstract

Centered on the need to prevent drug-drug and drug-food interactions among the elderly population in Cuenca, this project presents the development of a conversational agent implemented in a mobile application. The study incorporates a database on drug-drug and drug-food interactions, together with a content-based recommendation algorithm, specifically designed to suggest dietary alternatives in the event of potential interactions between a drug and a food item. The findings, endorsed by evaluations conducted by both nutrition students and field experts, confirm the efficacy of the chatbot in identifying pharmacological interactions and generating appropriate recommendations. These results underline the importance of precision systems that facilitate user interaction, for instance, through conversational agents and recommendation algorithms that provide personalized information to prevent drug interactions; moreover, the evaluation by experts assures the reliability and effectiveness of such systems.