An Investigation into Healthcare-Data Patterns
Aaron Boddy *, William Hurst *
, Michael Mackay, Abdennour El Rhalibi, Thar Baker and Casimiro A. Curbelo Montañez
, Michael Mackay, Abdennour El Rhalibi, Thar Baker and Casimiro A. Curbelo Montañez
Faculty of Engineering and Technology, Liverpool John Moores University, Liverpool L3 3AF, UK
*
Authors to whom correspondence should be addressed.
Future Internet 2019, 11(2), 30; https://doi.org/10.3390/fi11020030
Received: 4 December 2018 / Revised: 16 January 2019 / Accepted: 20 January 2019 / Published: 30 January 2019
(This article belongs to the Special Issue Smart Systems for Healthcare)
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%. View Full-TextKeywords:
medical device; healthcare infrastructures; data visualisation; network visualisation; cyber security; network security; advanced data analytics; hospital networks
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Boddy, A.; Hurst, W.; Mackay, M.; El Rhalibi, A.; Baker, T.; Montañez, C.A.C. An Investigation into Healthcare-Data Patterns. Future Internet 2019, 11, 30.
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