An Investigation into Healthcare-Data Patterns

Aaron Boddy, William Hurst, Michael Mackay, Abdennour El Rhalibi, Thar Baker and Casimiro A. Curbelo Montañez
Additional contact information
Aaron Boddy: Faculty of Engineering and Technology, Liverpool John Moores University, Liverpool L3 3AF, UK
William Hurst: Faculty of Engineering and Technology, Liverpool John Moores University, Liverpool L3 3AF, UK
Michael Mackay: Faculty of Engineering and Technology, Liverpool John Moores University, Liverpool L3 3AF, UK
Abdennour El Rhalibi: Faculty of Engineering and Technology, Liverpool John Moores University, Liverpool L3 3AF, UK
Thar Baker: Faculty of Engineering and Technology, Liverpool John Moores University, Liverpool L3 3AF, UK
Casimiro A. Curbelo Montañez: Faculty of Engineering and Technology, Liverpool John Moores University, Liverpool L3 3AF, UK

Future Internet, 2019, vol. 11, issue 2, 1-23

Abstract: Visualising complex data facilitates a more comprehensive stage for conveying knowledge. Within the medical data domain, there is an increasing requirement for valuable and accurate information. Patients need to be confident that their data is being stored safely and securely. As such, it is now becoming necessary to visualise data patterns and trends in real-time to identify erratic and anomalous network access behaviours. In this paper, an investigation into modelling data flow within healthcare infrastructures is presented; where a dataset from a Liverpool-based (UK) hospital is employed for the case study. Specifically, a visualisation of transmission control protocol (TCP) socket connections is put forward, as an investigation into the data complexity and user interaction events within healthcare networks. In addition, a filtering algorithm is proposed for noise reduction in the TCP dataset. Positive results from using this algorithm are apparent on visual inspection, where noise is reduced by up to 89.84%.

Keywords: medical device; healthcare infrastructures; data visualisation; network visualisation; cyber security; network security; advanced data analytics; hospital networks (search for similar items in EconPapers)
JEL-codes: O3 (search for similar items in EconPapers)
Date: 2019
References: View complete reference list from CitEc
Citations:

Downloads: (external link)
https://www.mdpi.com/1999-5903/11/2/30/pdf (application/pdf)
https://www.mdpi.com/1999-5903/11/2/30/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jftint:v:11:y:2019:i:2:p:30-:d:201883

Access Statistics for this article

Future Internet is currently edited by Ms. Grace You

More articles in Future Internet from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().