Designing and Evaluating Decision Support Systems for Clinical Teams

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dc.contributor.authorMastrianni, Angela
dc.date.accessioned2023-03-17T22:49:00Z
dc.date.available2023-03-17T22:49:00Z
dc.date.issued2023
dc.description.abstractAlthough 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.en
dc.identifier.doi10.1145/3565967.3571755
dc.identifier.urihttps://dl.eusset.eu/handle/20.500.12015/4614
dc.language.isoen
dc.publisherAssociation for Computing Machinery
dc.relation.ispartofCompanion Proceedings of the 2023 ACM International Conference on Supporting Group Work
dc.subjectcoordination mechanisms
dc.subjecttrauma resuscitation
dc.subjectclinical decision support systems
dc.titleDesigning and Evaluating Decision Support Systems for Clinical Teamsen
dc.typeText/Conference Paper
gi.citation.startPage54–56
gi.conference.locationHilton Head, SC, USA

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