Dissecting interRAI Instrument Data Using Visual and Predictive Analytics

Waqar Haque, Shannon Freeman, Piper Jackson

2023

Abstract

Healthcare data for older adults is often collected through globally standardized instruments and resides in multiple disparate database systems. For gaining insights into this data, an interactive platform has been developed which allows visualization of several actionable key performance indicators along multiple dimensions. The health assessment data was collected from persons receiving community home care services as well as from persons residing in long-term care facilities. The top-level reports provide aggregations across geographical regions at the health service delivery area level with capability to drill down to finer granularity for metrics of interest. By revealing hidden patterns embedded in data, the stakeholders can make informed decisions pertaining to resource allocation and better patient care. The drill-down and drill-through reports include demographics, quality of life, medications, health conditions and disease diagnoses, comorbidities, health service usage, and patient journey across care settings. A predictive model to accurately estimate resource requirements at the time of admission was also developed for data-driven triaging.

Paper Citation

in Harvard Style

Haque W., Freeman S. and Jackson P. (2023). Dissecting interRAI Instrument Data Using Visual and Predictive Analytics. In Proceedings of the 9th International Conference on Information and Communication Technologies for Ageing Well and e-Health - Volume 1: ICT4AWE, ISBN 978-989-758-645-3, SciTePress, pages 110-117. DOI: 10.5220/0011719100003476

in Bibtex Style

@conference{ict4awe23,
author={Waqar Haque and Shannon Freeman and Piper Jackson},
title={Dissecting interRAI Instrument Data Using Visual and Predictive Analytics},
booktitle={Proceedings of the 9th International Conference on Information and Communication Technologies for Ageing Well and e-Health - Volume 1: ICT4AWE,},
year={2023},
pages={110-117},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011719100003476},
isbn={978-989-758-645-3},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 9th International Conference on Information and Communication Technologies for Ageing Well and e-Health - Volume 1: ICT4AWE,
TI - Dissecting interRAI Instrument Data Using Visual and Predictive Analytics
SN - 978-989-758-645-3
AU - Haque W.
AU - Freeman S.
AU - Jackson P.
PY - 2023
SP - 110
EP - 117
DO - 10.5220/0011719100003476
PB - SciTePress