Kliment Chakarovski
- Technical University of Sofia, Studentski Kompleks, ul. “Professor Georgi Bradistilov” 11, 1756 Sofia, Bulgaria
Daniela Mechkaroska
- University of Information Science and Technology “St. Paul the Apostle”, Partizanska bb, 6000 Ohrid, North Macedonia
Ervin Domazet
- International Balkan University, Faculty of Engineering, Makedonsko-Kosovska Brigada bb, 1000, Skopje, North Macedonia
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.
Tenth International Scientific-Business Conference LIMEN Leadership, Innovation, Management and Economics: Integrated Politics of Research - LIMEN 2024 - International Scientific-Business Conference – LIMEN 2024: Vol 10. Conference Proceedings , December 5, 2024
Conference Proceedings published by: Association of Economists and Managers of the Balkans, Belgrade, Serbia
ISBN: 9788680194929 , ISSN: 26836149 , DOI: 10.31410/LIMEN.2024
Creative Commons Non Commercial CC BY-NC: This article is distributed under the terms of the Creative Commons Attribution-Non-Commercial 4.0 License (https://creativecommons.org/licenses/by-nc/4.0/) which permits non-commercial use, reproduction and distribution of the work without further permission.
