This project is a bachelor's thesis by Antonios Vouzas , under the advisement of Michael Vassilakopoulos, developed at the University of Thessaly, Electrical and Computer Engineering Department.
In the era of technological advancement, Electronic Health Record (EHR) management systems have become an integral part of modern healthcare. These systems enable the storage, processing, and management of medical data, which can lead to improved quality, efficiency, and safety in healthcare delivery. However, many existing EHR systems face various challenges, such as decentralized structures, lack of cohesion, and inability to exchange information among them. The aim of this thesis is to address such challenges through the design and implementation of an integrated, flexible, secure, and reliable EHR management system. The work focuses on developing an architecture that supports parallel and distributed management of medical data, leveraging technologies like Kubernetes, Apache Cassandra, Apache Spark, FastAPI, and ReactJS. The outcome of this work is not merely a prototype application but aims at developing a broader architecture for an EHR management system.
#Keywords: Electronic Health Record, parallel system, distributed system, Kubernetes, Apache Cassandra, Apache Spark, FastAPI, ReactJS.
- Advisor: Μιχαήλ Βασιλακόπουλος
- Author: Αντώνιος Λ. Βούζας
- Academic Year: 2023
- Identifier URI: hdl.handle.net/11615/82888
- Language: Greek (el), English Summary
- Rights: Attribution-NonCommercial-NoDerivatives 4.0 International
- Record Provider: University of Thessaly - Library and Information Center
- Academic Publisher: University of Thessaly, Polytechnic School, Department of Electrical and Computer Engineers
- Committee Members: Eleni Tousidou, Hariklia Tsalapata
The full text of this thesis is available here.
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.