Optimizing Hospital Room Layout to Reduce the Risk of Patient Falls

• URL: http://arxiv.org/abs/2101.03210v1
• Date: Fri, 8 Jan 2021 20:31:10 GMT
• Title: Optimizing Hospital Room Layout to Reduce the Risk of Patient Falls
• Authors: Sarvenaz Chaeibakhsh, Roya Sabbagh Novin, Tucker Hermans, Andrew Merryweather and Alan Kuntz
• Abstract summary: This work formulates a gradient-free constrained optimization problem to generate and reconfigure the hospital room interior layout. 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.
• Score: 4.66970207245168
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• 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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