AWS-Based Chatbot and IoT Framework in Healthcare

Abstract

Cloud computing is revolutionizing patient care and health data management, particularly with AWS services like Lambda, Lex, and its propriatery databases. This study examines how these technologies enhance chatbot functionalities to improve doctor engagement and real-time communication with medical records. AWS Lambda handles backend processing, while AWS Lex manages natural language processing, enabling chatbots to respond promptly and personally to doctor inquiries. This integration ensures seamless data analysis and monitoring. Furthermore, the research the generation and application of synthetic health data, focusing on key metrics like blood pressure, blood sugar, pulse and few other that we will see in this paper. Additionally, it outlines a framework for incorporating Internet of Things (IoT) devices to further enhance these capabilities. The combination of cloud computing, chatbots, and IoT enables more proactive and personalized patient care, improves real-time data collection and analysis, and streamlines healthcare processes, ultimately leading to better patient outcomes.