Assessment of Innovative Emergency Department Information Displays in a Clinical Simulation Center.
Citation: Journal of Cognitive Engineering & Decision Making. 9(4):329-346, 2015 DecPMID: 27974881Institution: MedStar Health Research Institute | MedStar Institute for Innovation | MedStar Washington Hospital CenterDepartment: Emergency Medicine | National Center for Human Factors in HealthcareForm of publication: Journal ArticleMedline article type(s): Journal ArticleSubject headings: PubMed-not-MEDLINE -- Not indexedYear: 2015ISSN:- 1555-3434
Item type | Current library | Collection | Call number | Status | Date due | Barcode |
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Journal Article | MedStar Authors Catalog | Article | 27974881 | Available | 27974881 |
The objective of this work was to assess the functional utility of new display concepts for an emergency department information system created using cognitive systems engineering methods, by comparing them to similar displays currently in use. The display concepts were compared to standard displays in a clinical simulation study during which nurse-physician teams performed simulated emergency department tasks. Questionnaires were used to assess the cognitive support provided by the displays, participants' level of situation awareness, and participants' workload during the simulated tasks. Participants rated the new displays significantly higher than the control displays in terms of cognitive support. There was no significant difference in workload scores between the display conditions. There was no main effect of display type on situation awareness, but there was a significant interaction; participants using the new displays showed improved situation awareness from the middle to the end of the session. This study demonstrates that cognitive systems engineering methods can be used to create innovative displays that better support emergency medicine tasks, without increasing workload, compared to more standard displays. These methods provide a means to develop emergency department information systems-and more broadly, health information technology-that better support the cognitive needs of healthcare providers.
English