Context Aware Conversational Agent for Smart Healthcare

Abstract

Quick advancement of machine technologies has greatly transformed the healthcare department by enabling new ways for delivering health information and assistance. However, many people still experience issues in accessing reliable and timely health guidance due to factors such as limited medical staff, longer waiting times, and the complexity of medical facilities available online. Conversational agents, known as chatbots, have arrived as a promising solution for evolving accessibility to healthcare related information through interactive and user-friendly UI.

This paper will present the design and developing of a context aware conversational agent used to support smart healthcare services. The proposed architecture utilizes natural language processing techniques to interpret user doubts and provide relevant responses related to general healthcare information, symptoms awareness, and prevention health practices. Unlike traditional chatbots that treat each user questions independently, the proposed conversational agent maintains context and its information from previous conversations. This ability enables the system to generate responses that are more informative and relevant to the continued conversation.

The system is designed to operate through a website interface, allowing users to communicate with the chatbot using their natural language. By combining contextual understanding with valued healthcare knowledge, the system aims to improve user engagement and improve the overall reachability of healthcare guidance. The proposed conversational agent does not aim to replace professional doctor consultation but instead serves as a support tool that uplift health awareness and improve decision making among users.