Conference proceeding
Eliciting Design Requirements for a Computer-Aided Monitoring and Alerting System to Improve PPE Compliance among Healthcare Workers
PROCEEDINGS OF THE 2023 ACM DESIGNING INTERACTIVE SYSTEMS CONFERENCE, DIS 2023, pp 213-216
01 Jan 2023
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
We examine the use of personal protective equipment (PPE) in an emergency medical setting to inform the design of a computer-aided PPE monitoring and alerting system. We reviewed videos of 19 pediatric resuscitations from the early months of the COVID-19 pandemic, finding that PPE violations were associated with specific phases in the patient care process (e.g., before patient arrival), specifc tasks (e.g., medication preparation), and specific locations (e.g., at the room entrance, bedside). Our results suggest that alert design will require considering the urgency of correcting PPE violations vs. the urgency of the task being performed. We conclude by discussing our initial observations and the next steps.
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Details
- Title
- Eliciting Design Requirements for a Computer-Aided Monitoring and Alerting System to Improve PPE Compliance among Healthcare Workers
- Creators
- Aleksandra Sarcevic - Drexel UniversityCarmen-Mai Riley - Drexel Univ, Philadelphia, PA 19104 USAWaverly Gestrich-Thompson - Children's NationalIvan Marsic - Rutgers, The State University of New JerseyKaren O'connell - Children's NationalRandall S. Burd - Children's NationalACM
- Publication Details
- PROCEEDINGS OF THE 2023 ACM DESIGNING INTERACTIVE SYSTEMS CONFERENCE, DIS 2023, pp 213-216
- Publisher
- Assoc Computing Machinery
- Number of pages
- 4
- Grant note
- 1R56EB032819-01 / National Institute of Biomedical Imaging and Bioengineering; United States Department of Health & Human Services; National Institutes of Health (NIH) - USA; NIH National Institute of Biomedical Imaging & Bioengineering (NIBIB)
- Resource Type
- Conference proceeding
- Language
- English
- Academic Unit
- Information Science
- Web of Science ID
- WOS:001031537800050
- Scopus ID
- 2-s2.0-85167702034
- Other Identifier
- 991021049053004721
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- Collaboration types
- Domestic collaboration
- Web of Science research areas
- Computer Science, Interdisciplinary Applications
- Computer Science, Theory & Methods
- Ergonomics