Hospital Delirium is Associated with Lower Mean Activity Counts: Secondary Analysis of a Large Cohort Study of ICU Patients

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dc.contributor.authorSoutherland, Lauren
dc.contributor.authorPeng, Jing
dc.contributor.authorBoyer, Edward
dc.contributor.authorBrummel, Nathan
dc.date.accessioned2023-12-26T18:42:26Z
dc.date.available2023-12-26T18:42:26Z
dc.date.issued2024-01-03
dc.identifier.doi10.24251/HICSS.2024.472
dc.identifier.isbn978-0-9981331-7-1
dc.identifier.otherde431427-3756-472d-b09e-2135418900bd
dc.identifier.urihttps://hdl.handle.net/10125/106855
dc.language.isoeng
dc.relation.ispartofProceedings of the 57th Hawaii International Conference on System Sciences
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 International
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subjectTechnology, Machine Learning, and Bias in Emergency Care
dc.subjectaccelerometer
dc.subjectbiosensor
dc.subjectdelirium
dc.subjecthospital patients
dc.subjecticu
dc.titleHospital Delirium is Associated with Lower Mean Activity Counts: Secondary Analysis of a Large Cohort Study of ICU Patients
dc.typeConference Paper
dc.type.dcmiText
dcterms.abstractHospital delirium is a dangerous condition characterized by confusion and altered consciousness. Hypoactive delirium, the most common type of delirium, results in decreased spontaneous movement and is easily missed by hospital staff. We evaluated the use of wrist accelerometers to detect an association with delirium in intensive care unit patients. We found that daily mean activity count was lower in patients with delirium, even controlling for age and mechanical ventilation status. This suggests that accelerometers could be a good biosensor to assist hospital staff with delirium detection and management.
dcterms.extent5 pages
prism.startingpage3904

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Technology, Machine Learning, and Bias in Emergency Care