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Authors: Sarvenaz Chaeibakhsh 1 ; Roya Sabbagh Novin 1 ; Tucker Hermans 2 ; Andrew Merryweather 1 and Alan Kuntz 2

Affiliations: 1 Department of Mechanical Engineering, University of Utah, UT, U.S.A. ; 2 School of Computing, University of Utah, UT, U.S.A.

Keyword(s): Hospital Layout Planning, Fall Risk, Computerized Layout Planning, Simulated Annealing.

Abstract: Despite years of research into patient falls in hospital rooms, falls and related injuries remain a serious concern to patient safety. In this work, we formulate a gradient-free constrained optimization problem to generate and reconfigure the hospital room interior layout to minimize the risk of falls. We define a cost function built on a hospital room fall model that takes into account the supportive or hazardous effect of the patient’s surrounding objects, as well as simulated patient trajectories inside the room. We define a constraint set that ensures the functionality of the generated room layouts in addition to conforming to architectural guidelines. We solve this problem efficiently using a variant of simulated annealing. We present results for two real-world hospital room types and demonstrate a significant improvement of 18% on average in patient fall risk when compared with a traditional hospital room layout and 41% when compared with randomly generated layouts.

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Paper citation in several formats:
Chaeibakhsh, S.; Novin, R.; Hermans, T.; Merryweather, A. and Kuntz, A. (2021). Optimizing Hospital Room Layout to Reduce the Risk of Patient Falls. In Proceedings of the 10th International Conference on Operations Research and Enterprise Systems - ICORES; ISBN 978-989-758-485-5; ISSN 2184-4372, SciTePress, pages 36-48. DOI: 10.5220/0010226300360048

@conference{icores21,
author={Sarvenaz Chaeibakhsh. and Roya Sabbagh Novin. and Tucker Hermans. and Andrew Merryweather. and Alan Kuntz.},
title={Optimizing Hospital Room Layout to Reduce the Risk of Patient Falls},
booktitle={Proceedings of the 10th International Conference on Operations Research and Enterprise Systems - ICORES},
year={2021},
pages={36-48},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010226300360048},
isbn={978-989-758-485-5},
issn={2184-4372},
}

TY - CONF

JO - Proceedings of the 10th International Conference on Operations Research and Enterprise Systems - ICORES
TI - Optimizing Hospital Room Layout to Reduce the Risk of Patient Falls
SN - 978-989-758-485-5
IS - 2184-4372
AU - Chaeibakhsh, S.
AU - Novin, R.
AU - Hermans, T.
AU - Merryweather, A.
AU - Kuntz, A.
PY - 2021
SP - 36
EP - 48
DO - 10.5220/0010226300360048
PB - SciTePress

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