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Smart hospital infrastructure: geomagnetic in-hospital medical worker tracking
PURPOSE: Location visualization is essential for locating people/objects, improving efficiency, and preventing accidents. In hospitals, Wi-Fi, Bluetooth low energy (BLE) Beacon, indoor messaging system, and similar methods have generally been used for tracking, with Wi-Fi and BLE being the most comm...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7936405/ https://www.ncbi.nlm.nih.gov/pubmed/33316057 http://dx.doi.org/10.1093/jamia/ocaa204 |
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author | Yamashita, Keiko Oyama, Shintaro Otani, Tomohiro Yamashita, Satoshi Furukawa, Taiki Kobayashi, Daisuke Sato, Kikue Sugano, Aki Funada, Chiaki Mori, Kensaku Ishiguro, Naoki Shiratori, Yoshimune |
author_facet | Yamashita, Keiko Oyama, Shintaro Otani, Tomohiro Yamashita, Satoshi Furukawa, Taiki Kobayashi, Daisuke Sato, Kikue Sugano, Aki Funada, Chiaki Mori, Kensaku Ishiguro, Naoki Shiratori, Yoshimune |
author_sort | Yamashita, Keiko |
collection | PubMed |
description | PURPOSE: Location visualization is essential for locating people/objects, improving efficiency, and preventing accidents. In hospitals, Wi-Fi, Bluetooth low energy (BLE) Beacon, indoor messaging system, and similar methods have generally been used for tracking, with Wi-Fi and BLE being the most common. Recently, nurses are increasingly using mobile devices, such as smartphones and tablets, while shifting. The accuracy when using Wi-Fi or BLE may be affected by interference or multipath propagation. In this research, we evaluated the positioning accuracy of geomagnetic indoor positioning in hospitals. MATERIALS AND METHODS: We compared the position measurement accuracy of a geomagnetic method alone, Wi-Fi alone, BLE beacons alone, geomagnetic plus Wi-Fi, and geomagnetic plus BLE in a general inpatient ward, using a geomagnetic positioning algorithm by GiPStech. The existing Wi-Fi infrastructure was used, and 20 additional BLE beacons were installed. Our first experiment compared these methods’ accuracy for 8 test routes, while the second experiment verified a combined geomagnetic/BLE beacon method using 3 routes based on actual daily activities. RESULTS: The experimental results demonstrated that the most accurate method was geomagnetic/BLE, followed by geomagnetic/Wi-Fi, and then geomagnetic alone. DISCUSSION: The geomagnetic method’s positioning accuracy varied widely, but combining it with BLE beacons reduced the average position error to approximately 1.2 m, and the positioning accuracy could be improved further. We believe this could effectively target humans (patients) where errors of up to 3 m can generally be tolerated. CONCLUSION: In conjunction with BLE beacons, geomagnetic positioning could be sufficiently effective for many in-hospital localization tasks. |
format | Online Article Text |
id | pubmed-7936405 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-79364052021-03-10 Smart hospital infrastructure: geomagnetic in-hospital medical worker tracking Yamashita, Keiko Oyama, Shintaro Otani, Tomohiro Yamashita, Satoshi Furukawa, Taiki Kobayashi, Daisuke Sato, Kikue Sugano, Aki Funada, Chiaki Mori, Kensaku Ishiguro, Naoki Shiratori, Yoshimune J Am Med Inform Assoc Research and Applications PURPOSE: Location visualization is essential for locating people/objects, improving efficiency, and preventing accidents. In hospitals, Wi-Fi, Bluetooth low energy (BLE) Beacon, indoor messaging system, and similar methods have generally been used for tracking, with Wi-Fi and BLE being the most common. Recently, nurses are increasingly using mobile devices, such as smartphones and tablets, while shifting. The accuracy when using Wi-Fi or BLE may be affected by interference or multipath propagation. In this research, we evaluated the positioning accuracy of geomagnetic indoor positioning in hospitals. MATERIALS AND METHODS: We compared the position measurement accuracy of a geomagnetic method alone, Wi-Fi alone, BLE beacons alone, geomagnetic plus Wi-Fi, and geomagnetic plus BLE in a general inpatient ward, using a geomagnetic positioning algorithm by GiPStech. The existing Wi-Fi infrastructure was used, and 20 additional BLE beacons were installed. Our first experiment compared these methods’ accuracy for 8 test routes, while the second experiment verified a combined geomagnetic/BLE beacon method using 3 routes based on actual daily activities. RESULTS: The experimental results demonstrated that the most accurate method was geomagnetic/BLE, followed by geomagnetic/Wi-Fi, and then geomagnetic alone. DISCUSSION: The geomagnetic method’s positioning accuracy varied widely, but combining it with BLE beacons reduced the average position error to approximately 1.2 m, and the positioning accuracy could be improved further. We believe this could effectively target humans (patients) where errors of up to 3 m can generally be tolerated. CONCLUSION: In conjunction with BLE beacons, geomagnetic positioning could be sufficiently effective for many in-hospital localization tasks. Oxford University Press 2020-12-14 /pmc/articles/PMC7936405/ /pubmed/33316057 http://dx.doi.org/10.1093/jamia/ocaa204 Text en © The Author(s) 2020. Published by Oxford University Press on behalf of the American Medical Informatics Association. http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs licence (http://creativecommons.org/licenses/by-nc-nd/4.0/), which permits non-commercial reproduction and distribution of the work, in any medium, provided the original work is not altered or transformed in any way, and that the work is properly cited. For commercial re-use, please contact journals.permissions@oup.com |
spellingShingle | Research and Applications Yamashita, Keiko Oyama, Shintaro Otani, Tomohiro Yamashita, Satoshi Furukawa, Taiki Kobayashi, Daisuke Sato, Kikue Sugano, Aki Funada, Chiaki Mori, Kensaku Ishiguro, Naoki Shiratori, Yoshimune Smart hospital infrastructure: geomagnetic in-hospital medical worker tracking |
title | Smart hospital infrastructure: geomagnetic in-hospital medical worker tracking |
title_full | Smart hospital infrastructure: geomagnetic in-hospital medical worker tracking |
title_fullStr | Smart hospital infrastructure: geomagnetic in-hospital medical worker tracking |
title_full_unstemmed | Smart hospital infrastructure: geomagnetic in-hospital medical worker tracking |
title_short | Smart hospital infrastructure: geomagnetic in-hospital medical worker tracking |
title_sort | smart hospital infrastructure: geomagnetic in-hospital medical worker tracking |
topic | Research and Applications |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7936405/ https://www.ncbi.nlm.nih.gov/pubmed/33316057 http://dx.doi.org/10.1093/jamia/ocaa204 |
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