A Hybrid Visual Analytics Framework to Evaluate Trauma Incidences and Enhance Patient Care

Waqar Haque, Jordan Oliver, Sonal Bajaj, Navjot Kaur

2020

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.

Paper Citation

in Harvard Style

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) - Volume 5: HEALTHINF; ISBN 978-989-758-398-8, SciTePress, pages 23-33. DOI: 10.5220/0008894500230033

in Bibtex Style

@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) - Volume 5: HEALTHINF},
year={2020},
pages={23-33},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0008894500230033},
isbn={978-989-758-398-8},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 13th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2020) - Volume 5: HEALTHINF
TI - A Hybrid Visual Analytics Framework to Evaluate Trauma Incidences and Enhance Patient Care
SN - 978-989-758-398-8
AU - Haque W.
AU - Oliver J.
AU - Bajaj S.
AU - Kaur N.
PY - 2020
SP - 23
EP - 33
DO - 10.5220/0008894500230033
PB - SciTePress