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An algorithm strategy for precise patient monitoring in a connected healthcare enterprise
This perspective paper describes the building elements for realizing a precise patient monitoring algorithm to fundamentally address the alarm fatigue problem. Alarm fatigue is well recognized but no solution has been widely successful. Physiologic patient monitors are responsible for the lion’s sha...
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Nature Publishing Group UK
2019
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6550269/ https://www.ncbi.nlm.nih.gov/pubmed/31304377 http://dx.doi.org/10.1038/s41746-019-0107-z |
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author | Hu, Xiao |
author_facet | Hu, Xiao |
author_sort | Hu, Xiao |
collection | PubMed |
description | This perspective paper describes the building elements for realizing a precise patient monitoring algorithm to fundamentally address the alarm fatigue problem. Alarm fatigue is well recognized but no solution has been widely successful. Physiologic patient monitors are responsible for the lion’s share of alarms at the bedside, most of which are either false or non-actionable. Algorithms on patient monitors lack precision because they fail to leverage multivariate relationship among variables monitored, to integrate rich patient clinical information from electronic health record system, and to utilize temporal patterns in data streams. Therefore, a solution to patient monitor alarm fatigue is to open the black-box of patient monitors to integrate physiologic data with clinical data from EHR under a four-element algorithm strategy to be described in this paper. This strategy will be presented in this paper in the context of its current status as described in our prior publications. |
format | Online Article Text |
id | pubmed-6550269 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-65502692019-07-12 An algorithm strategy for precise patient monitoring in a connected healthcare enterprise Hu, Xiao NPJ Digit Med Perspective This perspective paper describes the building elements for realizing a precise patient monitoring algorithm to fundamentally address the alarm fatigue problem. Alarm fatigue is well recognized but no solution has been widely successful. Physiologic patient monitors are responsible for the lion’s share of alarms at the bedside, most of which are either false or non-actionable. Algorithms on patient monitors lack precision because they fail to leverage multivariate relationship among variables monitored, to integrate rich patient clinical information from electronic health record system, and to utilize temporal patterns in data streams. Therefore, a solution to patient monitor alarm fatigue is to open the black-box of patient monitors to integrate physiologic data with clinical data from EHR under a four-element algorithm strategy to be described in this paper. This strategy will be presented in this paper in the context of its current status as described in our prior publications. Nature Publishing Group UK 2019-04-30 /pmc/articles/PMC6550269/ /pubmed/31304377 http://dx.doi.org/10.1038/s41746-019-0107-z Text en © The Author(s) 2019 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Perspective Hu, Xiao An algorithm strategy for precise patient monitoring in a connected healthcare enterprise |
title | An algorithm strategy for precise patient monitoring in a connected healthcare enterprise |
title_full | An algorithm strategy for precise patient monitoring in a connected healthcare enterprise |
title_fullStr | An algorithm strategy for precise patient monitoring in a connected healthcare enterprise |
title_full_unstemmed | An algorithm strategy for precise patient monitoring in a connected healthcare enterprise |
title_short | An algorithm strategy for precise patient monitoring in a connected healthcare enterprise |
title_sort | algorithm strategy for precise patient monitoring in a connected healthcare enterprise |
topic | Perspective |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6550269/ https://www.ncbi.nlm.nih.gov/pubmed/31304377 http://dx.doi.org/10.1038/s41746-019-0107-z |
work_keys_str_mv | AT huxiao analgorithmstrategyforprecisepatientmonitoringinaconnectedhealthcareenterprise AT huxiao algorithmstrategyforprecisepatientmonitoringinaconnectedhealthcareenterprise |