Graph Database Solutions: Revolutionizing Healthcare Records Management for Efficiency and Scalability

Q: How many days will it take for my paper to be published?

The review time for papers is not fixed. However, if the paper is accepted and the author completes the processing charges formalities, the paper will be published within a few working days.

Q: I would like to receive a hard copy of the journal materials. Are there any additional charges?

You can log in to the author portal and pay 500 INR to receive the hard copy materials.

Ch Prasanthi; D Vijay Kumar; K Sudhakar; A Venkanna

Graph Database Solutions: Revolutionizing Healthcare Records Management for Efficiency and Scalability

Authors: Ch Prasanthi, D Vijay Kumar, K Sudhakar, A Venkanna

Unique Paper ID: 181025
Volume: 12
Issue: 1
PageNo: 3520-3526

Keywords: Graph Database Healthcare Records Management Efficiency Scalability Data Modeling

Abstract:
The revolutionary possibilities of graph database systems for healthcare records administration are investigated in this article. Issues with scalability and inefficiency originate from the fact that traditional healthcare systems are ill-equipped to handle the massive amounts of interrelated patient data. The potential answer is provided by graph databases, which enable efficient and flexible data modelling through the representation of data as interconnected nodes and edges. This study explains the main features and advantages of graph database systems in healthcare environments by reviewing the literature, case studies, and approaches in the field. Graph databases are the focus here because of their ability to provide scalable data storage and retrieval, advanced querying and analysis, and seamless integration of various data sources. In addition, the article explores real-world issues including privacy, security, and performance optimisation to make sure that healthcare organisations may use graph database technology legally and keep their data safe. This paper offers a roadmap for researchers and practitioners to fully utilise graph database solutions for efficient and scalable healthcare records management by analysing emerging trends and unresolved challenges. It provides insights into the future directions of these systems.

Download article

email to a friend

Cite This Article

ISSN: 2349-6002
Volume: 12
Issue: 1
PageNo: 3520-3526

Graph Database Solutions: Revolutionizing Healthcare Records Management for Efficiency and Scalability

Available:https://ijirt.org/article?manuscript=181025

Impact Factor
8.01 (Year 2024)

UGC Approved
Journal no 47859

Join Our IPN

IJIRT Partner Network

Submit your research paper and those of your network (friends, colleagues, or peers) through your IPN account, and receive 800 INR for each paper that gets published.

Join Now