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Authors: Waqar Haque 1 ; Jordan Oliver 2 ; Sonal Bajaj 2 and Navjot Kaur 1

Affiliations: 1 Department of Computer Science, University of Northern British Columbia, Prince George, Canada ; 2 Northern Health, Prince George, Canada

Keyword(s): Healthcare Analytics, Trauma Care, Visual Analytics, Online Analytical Processing.

Abstract: Large volumes of data has been collected on unintentional injuries and mortality. Besides years of life lost, traumatic injuries account for a significant portion of healthcare expenditure. With intelligent visual analytics, the collected data can be used for informed decision making and resource allocation. A multi-dimensional online analytical processing (OLAP) cube has been developed using data from BC Trauma Registry (BCTR) and Discharge Abstract Database (DAD). We propose a comprehensive framework which uses the OLAP cube, a web-based data entry platform populating a standalone database, filters consistent with Accreditation Canada (AC) measures, AC inclusion/exclusion criteria, and tools which render reports from historical and operational perspectives. These reports are grouped in higher level categories with intuitive drill-down capabilities for navigating at finer granularity along multiple dimensions. Access control for data entry is enabled with provisions for nested groups.

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Paper citation in several formats:
Haque, W., Oliver, J., Bajaj, S. and Kaur, N. (2020). A Hybrid Visual Analytics Framework to Evaluate Trauma Incidences and Enhance Patient Care. In Proceedings of the 13th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2020) - HEALTHINF; ISBN 978-989-758-398-8; ISSN 2184-4305, SciTePress, pages 23-33. DOI: 10.5220/0008894500230033

@conference{healthinf20,
author={Waqar Haque and Jordan Oliver and Sonal Bajaj and Navjot Kaur},
title={A Hybrid Visual Analytics Framework to Evaluate Trauma Incidences and Enhance Patient Care},
booktitle={Proceedings of the 13th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2020) - HEALTHINF},
year={2020},
pages={23-33},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0008894500230033},
isbn={978-989-758-398-8},
issn={2184-4305},
}

TY - CONF

JO - Proceedings of the 13th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2020) - HEALTHINF
TI - A Hybrid Visual Analytics Framework to Evaluate Trauma Incidences and Enhance Patient Care
SN - 978-989-758-398-8
IS - 2184-4305
AU - Haque, W.
AU - Oliver, J.
AU - Bajaj, S.
AU - Kaur, N.
PY - 2020
SP - 23
EP - 33
DO - 10.5220/0008894500230033
PB - SciTePress

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