Alerting systems Delay awareness Emergency medicine Human-centered design Time-critical teamwork Trauma resuscitation
Effective teamwork is critical in mitigating adverse outcomes in high-stakes environments. In emergency medicine, where delays, misunderstandings, or miscommunication can result in dire consequences, technological interventions have the potential to significantly improve outcomes. This dissertation focuses on understanding the experiences of trauma resuscitation teams with process delays and designing an alerting system that supports delay awareness during time-critical teamwork. This research has three primary aims: (1) identify critical delays and examine delay awareness in time-critical teamwork, (2) identify design requirements for delay-awareness systems, and (3) develop a proof-of-concept system to support delay awareness in time-critical teamwork. To achieve these aims, I conducted interviews and card-sorting workshops to investigate clinicians' experiences with delays during trauma resuscitation. Based on these findings, I derived design requirements for an initial alert system and evaluated its effectiveness through surveys, video reviews, and near-live simulations. The final phase of my research involves identifying the final system components and features through a scoping literature review, co-design interviews, and evaluating a component through a field deployment. This dissertation advances CSCW literature by (1) developing the concept of delay awareness and establishing a framework for understanding and measuring the impact of delays on patient outcomes and (2) identifying and defining specific design requirements for a delay awareness system for emergency medicine.
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Details
Title
Understanding delay experiences during time-critical teamwork and designing computerized support for delay awareness
Creators
Katherine Zellner
Contributors
Aleksandra Sarcevic (Advisor)
Awarding Institution
Drexel University
Degree Awarded
Doctor of Philosophy (Ph.D.)
Publisher
Drexel University; Philadelphia, Pennsylvania
Number of pages
xiv, 181 pages
Resource Type
Dissertation
Language
English
Academic Unit
Information Science (Informatics) [Historical]; College of Computing and Informatics (2013-2026); Drexel University