Journal article
Teamwork Errors in Trauma Resuscitation
ACM transactions on computer-human interaction, v 19(2), pp 1-30
Jul 2012
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
Human errors in trauma resuscitation can have cascading effects leading to poor patient outcomes. To determine the nature of teamwork errors, we conducted an observational study in a trauma center over a two-year period. While eventually successful in treating the patients, trauma teams had problems tracking and integrating information in a longitudinal trajectory, which resulted in inefficiencies and near-miss errors. As an initial step in system design to support trauma teams, we proposed a model of teamwork and a novel classification of team errors. Four types of team errors emerged from our analysis: communication errors, vigilance errors, interpretation errors, and management errors. Based on these findings, we identified key information structures to support team cognition and decision making. We believe that displaying these information structures will support distributed cognition of trauma teams. Our findings have broader applicability to other collaborative and dynamic work settings that are prone to human error.
Metrics
Details
- Title
- Teamwork Errors in Trauma Resuscitation
- Creators
- Aleksandra Sarcevic - Drexel UniversityIvan Marsic - Rutgers UniversityRandal S Burd - Children’s National Medical Center
- Publication Details
- ACM transactions on computer-human interaction, v 19(2), pp 1-30
- Publisher
- Association for Computing Machinery
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- Information Science
- Web of Science ID
- WOS:000307312600005
- Scopus ID
- 2-s2.0-84866325719
- Other Identifier
- 991014976882104721
UN Sustainable Development Goals (SDGs)
This publication has contributed to the advancement of the following goals:
InCites Highlights
Data related to this publication, from InCites Benchmarking & Analytics tool:
- Collaboration types
- Domestic collaboration
- Web of Science research areas
- Computer Science, Cybernetics
- Computer Science, Information Systems