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Hip Fracture Patient Pathways and Agent-based Modelling

Authors:
Alison N. O'Connor
Stephen E. Ryan
Gauri Vaidya
Paul Harford
Meghana Kshirsagar

Keywords: machine learning; patient flow; hip fracture.

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.

Pages: 11 to 16

Copyright: Copyright (c) IARIA, 2024

Publication date: November 3, 2024

Published in: conference

ISSN: 2519-8491

ISBN: 978-1-68558-204-3

Location: Nice, France

Dates: from November 3, 2024 to November 7, 2024