Conference proceeding
Designing and Evaluating Decision Support Systems for Clinical Teams
Companion Proceedings of the 2023 ACM International Conference on Supporting Group Work, pp 54-56
08 Jan 2023
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
Although clinical decision support systems (CDSSs) can assist clinicians in making decisions, their adoption has been limited by HCI issues. In this project, we will design and evaluate a CDSS to help trauma resuscitation teams treat patients with life-threatening injuries. In our preliminary research, we examined approaches to designing interfaces within CDSSs that capture data needed for decision support. We also studied how the system’s recommendations should be communicated to the clinical team, finding that clinicians perceived decision support alerts as potential coordination mechanisms. In our future work, we will evaluate how the alerts impact team performance, communication, and coordination.
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Details
- Title
- Designing and Evaluating Decision Support Systems for Clinical Teams
- Creators
- Angela Mastrianni - Drexel University
- Contributors
- Casey Fiesler (Editor) - University of Colorado BoulderFabiano Pinatti (Editor) - University of Oslo
- Publication Details
- Companion Proceedings of the 2023 ACM International Conference on Supporting Group Work, pp 54-56
- Conference
- GROUP '23: The 2023 ACM International Conference on Supporting Group Work
- Series
- ACM Conferences
- Publisher
- Association for Computing Machinery (ACM)
- Number of pages
- 3
- Resource Type
- Conference proceeding
- Language
- English
- Academic Unit
- School of Computer and Information Sciences
- Web of Science ID
- WOS:001495117300019
- Scopus ID
- 2-s2.0-85145776504
- Other Identifier
- 991022207057604721
UN Sustainable Development Goals (SDGs)
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Source: SDGs in the Output
InCites Highlights
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- Web of Science research areas
- Art
- Computer Science, Artificial Intelligence
- Computer Science, Interdisciplinary Applications
- Social Sciences, Interdisciplinary