https://github.com/avouz/myhealth
PARALLEL AND DISTRIBUTED ELECTRONIC HEALTH RECORD MANAGEMENT SYSTEM
https://github.com/avouz/myhealth
apache-cassandra apache-spark distributed-system electronic-health-record fastapi kubernetes parallel-system reactjs
Last synced: about 2 months ago
JSON representation
PARALLEL AND DISTRIBUTED ELECTRONIC HEALTH RECORD MANAGEMENT SYSTEM
- Host: GitHub
- URL: https://github.com/avouz/myhealth
- Owner: avouz
- License: other
- Created: 2023-10-26T10:09:21.000Z (over 1 year ago)
- Default Branch: main
- Last Pushed: 2025-02-25T21:59:41.000Z (2 months ago)
- Last Synced: 2025-03-14T07:46:00.619Z (about 2 months ago)
- Topics: apache-cassandra, apache-spark, distributed-system, electronic-health-record, fastapi, kubernetes, parallel-system, reactjs
- Homepage: https://ir.lib.uth.gr/xmlui/handle/11615/82888
- Size: 10.3 MB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
README
# Parallel and Distributed Electronic Health Record Management System
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.
## Abstract
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.
## Metadata
- **Advisor**: Μιχαήλ Βασιλακόπουλος
- **Author**: Αντώνιος Λ. Βούζας
- **Academic Year**: 2023
- **Identifier URI**: [hdl.handle.net/11615/82888](http://hdl.handle.net/11615/82888)
- **Language**: Greek (el), English Summary
- **Rights**: [Attribution-NonCommercial-NoDerivatives 4.0 International](http://creativecommons.org/licenses/by-nc-nd/4.0/)
- **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
## Full Text Availability
The full text of this thesis is available [here](http://hdl.handle.net/11615/82888).
## License
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.