Designing Computerized Support for Delay Awareness During Time-Critical Teamwork

In emergency medicine, where delays can result in dire consequences, technological interventions have the potential to significantly improve outcomes. This research focuses on understanding trauma resuscitation teams’ experiences with delays and designing an alerting system to improve delay awareness during time-critical teamwork. This research has three aims: (1) identify critical delays and examine delay awareness, (2) define design requirements for delay alert systems, and (3) evaluate the impact of visual alerts on delay awareness. Through iterative user research, we developed a prototype alert system. Current and future work involves designing an ambient alert system and evaluating its effects through live simulations.

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Publication Details

Published
2024-12-28
DOI
https://doi.org/10.1145/3688828.3699649
Citations
1
Primary Topic
Human-Automation Interaction and Safety
Type
article
Field-Weighted Citation Impact
0.64
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article

Designing Computerized Support for Delay Awareness During Time-Critical Teamwork

Katherine Ann Zellner
1 citations
Human-Automation Interaction and Safety
0.64
article

Designing Computerized Support for Delay Awareness During Time-Critical Teamwork

Katherine Ann Zellner
article en
1 citations

Abstract

In emergency medicine, where delays can result in dire consequences, technological interventions have the potential to significantly improve outcomes. This research focuses on understanding trauma resuscitation teams’ experiences with delays and designing an alerting system to improve delay awareness during time-critical teamwork. This research has three aims: (1) identify critical delays and examine delay awareness, (2) define design requirements for delay alert systems, and (3) evaluate the impact of visual alerts on delay awareness. Through iterative user research, we developed a prototype alert system. Current and future work involves designing an ambient alert system and evaluating its effects through live simulations.

Drexel University (US)
Openalex Percentile: Top 24%
Human-Automation Interaction and Safety
0.64
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