Name
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. |
Year | DOI | Venue |
|---|---|---|
2021 | 10.5220/0010226300360048 | PROCEEDINGS OF THE 10TH INTERNATIONAL CONFERENCE ON OPERATIONS RESEARCH AND ENTERPRISE SYSTEMS (ICORES) |
Keywords | DocType | Citations |
Hospital Layout Planning, Fall Risk, Computerized Layout Planning, Simulated Annealing | Conference | 0 |
PageRank | References | Authors |
0.34 | 0 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Sarvenaz Chaeibakhsh | 1 | 0 | 0.34 |
| Roya Sabbagh Novin | 2 | 0 | 2.37 |
| Tucker Hermans | 3 | 87 | 11.17 |
| Andrew Merryweather | 4 | 1 | 3.39 |
| Alan Kuntz | 5 | 3 | 4.79 |