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Hip fracture patient pathways and agent-based modelling

Date
2024
Abstract
Increased healthcare demand due to ageing populations is significantly straining European services. In Ireland patients presenting in Emergency Departments with hip-fracture injuries should be admitted to Orthopaedic wards or Theatre within four hours. However, the Irish Hip Fracture Database reports that less than 25~% of patients experience this pathway. Digital solutions, including advanced modelling techniques, offer a promising solution to optimising patient flow without impacting day-to-day healthcare provision. In this work, we outline ongoing research that aims to optimise healthcare provision for hip-fracture patients through improved data integration and agent-based simulations. We demonstrate how this technology, through enhanced connectivity, can improve healthcare service for hip fracture patients.
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Citation
HEALTHINFO 2024 : The Ninth International Conference on Informatics and Assistive Technologies for Health-Care, Medical Support and Wellbeing
Collections
Computer Science & Information Systems
Lero - The Science Foundation Ireland Research Centre for Software
School of Engineering
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HealthInfo2024.pdf
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Keywords
machine learning, patient flow, hip fracture, Information and computing sciences, Health sciences
ULRR Identifiers
https://doi.org/10.34961/researchrepository-ul.28722566
 https://hdl.handle.net/10344/14522
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Funding Information
Sustainable Development Goals
(3) Good Health and Well-Being, (9) Industry, Innovation and Infrastructure, (11) Sustainable Cities and Communities
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