An insight to nurse workload: predicting activities in the next shift and analyzing bedside alarms influence

dc.contributor.author Medeiros De Carvalho, Renata
dc.contributor.author Nguyen, Huyen
dc.contributor.author Heetveld, Maikel
dc.contributor.author Luime, Jolanda
dc.date.accessioned 2021-12-24T17:56:02Z
dc.date.available 2021-12-24T17:56:02Z
dc.date.issued 2022-01-04
dc.description.abstract The effects of nursing shortage and the increasing nursing workload have been emphasized in recent years. Hospitals and healthcare organizations have actively implemented initiatives to combat the workforce shortage and mitigate the effects of high workload among their nurses. In cooperation with a Dutch hospital, this project seeks to understand the workload of nurses by understanding what will happen in the next shift and by measuring the alarm workload of their nurses, particularly the bedside alarms that send signals to wifi phones of nurses, to obtain a partial workload of nurses that may reflect the intensity level of the total nurse workload. The project also investigates the effects of the alarm workload, patient, working condition and staff individuality on nurse performance. Finally, the project seeks to discover possible contributing factors to the alarm occurrence, therefore finding a mitigation to reduce the bedside alarm workload.
dc.format.extent 10 pages
dc.identifier.doi 10.24251/HICSS.2022.501
dc.identifier.isbn 978-0-9981331-5-7
dc.identifier.uri http://hdl.handle.net/10125/79837
dc.language.iso eng
dc.relation.ispartof Proceedings of the 55th Hawaii International Conference on System Sciences
dc.rights Attribution-NonCommercial-NoDerivatives 4.0 International
dc.rights.uri https://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subject Process Mining in Healthcare
dc.subject bedside alarm effects
dc.subject nursing workload
dc.subject prediction of activities
dc.title An insight to nurse workload: predicting activities in the next shift and analyzing bedside alarms influence
dc.type.dcmi text
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