Conference paper
Designing Interactive Alerts to Improve Recognition of Critical Events in Medical Emergencies
DIS '21: Proceedings of the 2021 ACM Designing Interactive Systems Conference, v 2021, pp 864-878
01 Jan 2021
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
Vital sign values during medical emergencies can help clinicians recognize and treat patients with life-threatening injuries. Identifying abnormal vital signs, however, is frequently delayed and the values may not be documented at all. In this mixed-methods study, we designed and evaluated a two-phased visual alert approach for a digital checklist in trauma resuscitation that informs users about undocumented vital signs. Using an interrupted time series analysis, we compared documentation in the periods before (two years) and after (four months) the introduction of the alerts. We found that introducing alerts led to an increase in documentation throughout the post-intervention period, with clinicians documenting vital signs earlier. Interviews with users and video review of cases showed that alerts were ineffective when clinicians engaged less with the checklist or set the checklist down to perform another activity. From these findings, we discuss approaches to designing alerts for dynamic team-based settings.
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Details
- Title
- Designing Interactive Alerts to Improve Recognition of Critical Events in Medical Emergencies
- Creators
- Angela Mastrianni - Drexel UniversityAleksandra Sarcevic - Drexel UniversityLauren Chung - Drexel UniversityIssa Zakeri - Drexel UniversityEmily Alberto - Children's NationalZachary Milestone - Children's NationalIvan Marsic - Rutgers New Jersey Medical SchoolRandall S. Burd - Children's National
- Publication Details
- DIS '21: Proceedings of the 2021 ACM Designing Interactive Systems Conference, v 2021, pp 864-878
- Conference
- DIS '21: 2021 ACM Designing Interactive Systems Conference (Virtual, 28 Jun 2021–02 Jul 2021)
- Publisher
- Assoc Computing Machinery
- Number of pages
- 15
- Grant note
- 2R01LM011834-05 / National Library of Medicine of the National Institutes of Health; United States Department of Health & Human Services; National Institutes of Health (NIH) - USA; NIH National Library of Medicine (NLM) IIS-1763509 / National Science Foundation; National Science Foundation (NSF)
- Resource Type
- Conference paper
- Language
- English
- Academic Unit
- Information Science; Epidemiology and Biostatistics
- Web of Science ID
- WOS:000747486000063
- Scopus ID
- 2-s2.0-85110106567
- Other Identifier
- 991019168966704721
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- Collaboration types
- Domestic collaboration
- Web of Science research areas
- Computer Science, Cybernetics
- Computer Science, Interdisciplinary Applications
- Computer Science, Theory & Methods
- Ergonomics