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dc.contributor.author
Hofmaenner, Daniel A.
dc.contributor.author
Herling, Anique
dc.contributor.author
Klinzing, Stephanie
dc.contributor.author
Wegner, Stephan
dc.contributor.author
Lohmeyer, Quentin
dc.contributor.author
Schuepbach, Reto A.
dc.contributor.author
Buehler, Philipp K.
dc.date.accessioned
2021-10-26T07:52:02Z
dc.date.available
2021-01-01T04:22:07Z
dc.date.available
2021-01-07T13:16:37Z
dc.date.available
2021-10-26T07:52:02Z
dc.date.issued
2021-12
dc.identifier.issn
1573-2614
dc.identifier.issn
1387-1307
dc.identifier.other
10.1007/s10877-020-00628-2
en_US
dc.identifier.uri
http://hdl.handle.net/20.500.11850/458793
dc.identifier.doi
10.3929/ethz-b-000458793
dc.description.abstract
Patient safety is a priority in healthcare, yet it is unclear how sources of errors should best be analyzed. Eye tracking is a tool used to monitor gaze patterns in medicine. The aim of this study was to analyze the distribution of visual attention among critical care nurses performing non-simulated, routine patient care on invasively ventilated patients in an ICU. ICU nurses were tracked bedside in daily practice. Eight specific areas of interest were pre-defined (respirator, drug preparation, medication, patient data management system, patient, monitor, communication and equipment/perfusors). Main independent variable and primary outcome was dwell time, secondary outcomes were hit ratio, revisits, fixation count and average fixation time on areas of interest in a targeted tracking-time of 60 min. 28 ICU nurses were analyzed and the average tracking time was 65.5 min. Dwell time was significantly higher for the respirator (12.7% of total dwell time), patient data management system (23.7% of total dwell time) and patient (33.4% of total dwell time) compared to the other areas of interest. A similar distribution was observed for fixation count (respirator 13.3%, patient data management system 25.8% and patient 31.3%). Average fixation time and revisits of the respirator were markedly elevated. Apart from the respirator, average fixation time was highest for the patient data management system, communication and equipment/perfusors. Eye tracking is helpful to analyze the distribution of visual attention of critical care nurses. It demonstrates that the respirator, the patient data management system and the patient form cornerstones in the treatment of critically ill patients. This offers insights into complex work patterns in critical care and the possibility of improving work flows, avoiding human error and maximizing patient safety.
en_US
dc.format
application/pdf
en_US
dc.language.iso
en
en_US
dc.publisher
Springer
en_US
dc.rights.uri
http://creativecommons.org/licenses/by/4.0/
dc.subject
Eye tracking
en_US
dc.subject
Visual attention
en_US
dc.subject
Patient safety
en_US
dc.subject
Human errors
en_US
dc.subject
Work patterns
en_US
dc.title
Use of eye tracking in analyzing distribution of visual attention among critical care nurses in daily professional life: an observational study
en_US
dc.type
Journal Article
dc.rights.license
Creative Commons Attribution 4.0 International
dc.date.published
2020-12-09
ethz.journal.title
Journal of Clinical Monitoring and Computing
ethz.journal.volume
35
en_US
ethz.journal.issue
6
en_US
ethz.journal.abbreviated
J Clin Monit Comput
ethz.pages.start
1511
en_US
ethz.pages.end
1518
en_US
ethz.version.deposit
publishedVersion
en_US
ethz.identifier.wos
ethz.identifier.scopus
ethz.publication.place
Dordrecht
en_US
ethz.publication.status
published
en_US
ethz.date.deposited
2021-01-01T04:22:16Z
ethz.source
WOS
ethz.eth
yes
en_US
ethz.availability
Open access
en_US
ethz.rosetta.installDate
2021-10-26T07:52:09Z
ethz.rosetta.lastUpdated
2022-03-29T14:43:33Z
ethz.rosetta.versionExported
true
ethz.COinS
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