Nurse Perceptions of the Usability of Augmented Reality to Support Clinical Decision Making: Results of a Pilot Study

Anton, Nicholas E.; Zhou, Guoyang; Hornbeck, Tera; Yu, Denny

doi:10.1109/vrw55335.2022.00115

Cited by 3 publications

(1 citation statement)

References 15 publications

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“…Likewise, in manufacturing wherein psychological are responsible for a higher risk of work-related injuries [3,58], it is possible that inexpensive solutions like the one proposed here may allow for the early detection of high cognitive load in workers, especially for the jobs requiring completing repetitive workstation tasks. In telehealth, where both the user and the healthcare provider are at a high risk of experiencing mental stress due to information overload, technological barriers, or distractions [59,60], leveraging camera technology that is already part of telehealth's delivery methods may be a possible solution to reduce the risk of cognitive overload.…”

Section: Discussionmentioning

confidence: 99%

On validating a generic camera‐based blink detection system for cognitive load assessment

Biondi,

Graf,

Pillai

et al. 2023

Cognitive Comp and Systems

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Detecting the human operator's cognitive state is paramount in settings wherein maintaining optimal workload is necessary for task performance. Blink rate is an established metric of cognitive load, with a higher blink frequency being observed under conditions of greater workload. Measuring blink rate requires the use of eye‐trackers which limits the adoption of this metric in the real‐world. The authors aim to investigate the effectiveness of using a generic camera‐based system as a way to assess the user's cognitive load during a computer task. Participants completed a mental task while sitting in front of a computer. Blink rate was recorded via both the generic camera‐based system and a scientific‐grade eye‐tracker for validation purposes. Cognitive load was also assessed through the performance in a single stimulus detection task. The blink rate recorded via the generic camera‐based approach did not differ from the one obtained through the eye‐tracker. No meaningful changes in blink rate were however observed with increasing cognitive load. Results show the generic‐camera based system may represent a more affordable, ubiquitous means for assessing cognitive workload during computer task. Future work should further investigate ways to increase its accuracy during the completion of more realistic tasks.

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Section: Discussionmentioning

confidence: 99%

On validating a generic camera‐based blink detection system for cognitive load assessment

Biondi,

Graf,

Pillai

et al. 2023

Cognitive Comp and Systems

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An Overview of the 3rd International Workshop on eXtended Reality for Industrial and Occupational Supports (XRIOS)

Cho,

Kim,

Han

et al. 2024

2024 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops (VRW)

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Nurses' experiences of using a computer‐based triage decision support system in the emergency department

Bişkin Çetin,

Cebeci

2024

Nursing in Critical Care

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BackgroundEmergency department triage is a vital and complex decision‐making process. There is limited knowledge about nurses' experiences with triage decision support systems in emergency departments.AimThis study was conducted to examine nurses' experiences with a computer‐based triage decision support system in the emergency department.Study DesignThis is a qualitative and phenomenological study. Data were collected through interviews from 14 triage nurses who used a triage decision support system in the emergency department of a university hospital. The nurses were recruited for semi‐structured interviews. All interviews were recorded on a voice recorder and then transcribed. Data were analysed with the inductive content analysis method. The interviewer asked comprehensive questions about the nurses' experiences with the triage decision support system.ResultsThree main and 11 sub‐themes were elicited as a result of the analysis of the in‐depth interviews: (a) the facilitating the triage decision theme, which included help in case of a dilemma, team collaboration, monitoring/supervision, and error reduction sub‐themes; (b) the contribution to professionalism theme, which included ease of learning and teaching triage, professional autonomy, creating a database, and evidence‐based practice sub‐themes; (c) the areas that need improvement theme, which included reducing screen clicks, the effect of the hospital automation system performance, and clinical descriptors not included in the algorithm sub‐themes.ConclusionTriage nurses stated that the decision support system was beneficial and facilitated decision‐making. The decision support system enabled triage nurses to make their own decisions using their clinical knowledge and experience, without a restriction on their professional autonomy, and this was perceived positively. It was emphasized that this system could be a support tool in educating nurses new to triage. However, nurses stated that the pace of the decision support system was affected by the performance of the hospital automation system and that the large number of steps used for electing items caused a waste of time. They also added that these were technical areas that needed improvement.Relevance to Clinical PracticeThe study provides important data that will help healthcare organizations and professionals better understand the emergency department nurse triage decision support system and gain a versatile, comprehensive, and general understanding.

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Nurse Perceptions of the Usability of Augmented Reality to Support Clinical Decision Making: Results of a Pilot Study

Cited by 3 publications

References 15 publications

On validating a generic camera‐based blink detection system for cognitive load assessment

On validating a generic camera‐based blink detection system for cognitive load assessment

An Overview of the 3rd International Workshop on eXtended Reality for Industrial and Occupational Supports (XRIOS)

Nurses' experiences of using a computer‐based triage decision support system in the emergency department

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