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Preliminary Validation Results of DigEmergo for Surge Capacity Management
Linköping University, Department of Computer and Information Science, Human-Centered systems. Linköping University, Faculty of Science & Engineering. (MDA)
Linköping University, Faculty of Medicine and Health Sciences, Faculty of Health Sciences, Medical Programme.
Linköping University, Department of Clinical and Experimental Medicine, Division of Clinical Sciences. Region Östergötland, Center for Disaster Medicine and Traumatology. (Department of Clinical and Experimental Medicine)
Linköping University, Department of Computer and Information Science, Human-Centered systems. Linköping University, Faculty of Arts and Sciences. (COIN)ORCID iD: 0000-0001-5943-0679
2016 (English)In: Proceedings of the 13th International Conference on Information Systems for Crisis Response and Management / [ed] Andrea H. Tapia, Pedro Antunes, Victor A. Bañuls, Kathleen Moore and João Porto de Albuquerque, ISCRAM , 2016Conference paper, Published paper (Refereed)
Abstract [en]

This paper presents preliminary analysis from a validation study of a novel emergency medicine command and control training and evaluation simulator: DIGEMERGO®. The simulated emergency scenario was a surge capacity event at a generic emergency department, in which the participants took on a management role as the emergency department’s coordinating head nurse. A between group validation design with medical expert and novice participants was used. Initial analysis examined three triage measures associated with surge capacity management performance: time to triage, amount of patients triaged, and triage accuracy. The results show that experts were significantly more accurate at triaging in-hospital patients, but not incoming trauma patients. No significant differences in time or number of patients triaged was found. These initial results partially indicate simulator validity, but trauma patient triage accuracy suffered from a confounding variable in the triage system used. Analysis of additional measures is undergoing to further investigate validity claims.

Place, publisher, year, edition, pages
ISCRAM , 2016.
Series
Proceedings of the International ISCRAM Conference, ISSN 2411-3387 ; 2016
Keywords [en]
Simulator validation, between group analysis, command and control, performance measures, emergency medicine, surge capacity
National Category
Computer Systems
Identifiers
URN: urn:nbn:se:liu:diva-128700ISBN: 9788460879848 (print)OAI: oai:DiVA.org:liu-128700DiVA, id: diva2:931618
Conference
The 13th International Conference on Information Systems for Crisis Response and Management, Rio de Janeiro, Brazil, May 22-25, 2016
Available from: 2016-05-30 Created: 2016-05-30 Last updated: 2018-03-20Bibliographically approved
In thesis
1. Studying Simulations with Distributed Cognition
Open this publication in new window or tab >>Studying Simulations with Distributed Cognition
2018 (English)Doctoral thesis, comprehensive summary (Other academic)
Abstract [en]

Simulations are frequently used techniques for training, performance assessment, and prediction of future outcomes. In this thesis, the term “human-centered simulation” is used to refer to any simulation in which humans and human cognition are integral to the simulation’s function and purpose (e.g., simulation-based training). A general problem for human-centered simulations is to capture the cognitive processes and activities of the target situation (i.e., the real world task) and recreate them accurately in the simulation. The prevalent view within the simulation research community is that cognition is internal, decontextualized computational processes of individuals. However, contemporary theories of cognition emphasize the importance of the external environment, use of tools, as well as social and cultural factors in cognitive practice. Consequently, there is a need for research on how such contemporary perspectives can be used to describe human-centered simulations, re-interpret theoretical constructs of such simulations, and direct how simulations should be modeled, designed, and evaluated.

This thesis adopts distributed cognition as a framework for studying human-centered simulations. Training and assessment of emergency medical management in a Swedish context using the Emergo Train System (ETS) simulator was adopted as a case study. ETS simulations were studied and analyzed using the distributed cognition for teamwork (DiCoT) methodology with the goal of understanding, evaluating, and testing the validity of the ETS simulator. Moreover, to explore distributed cognition as a basis for simulator design, a digital re-design of ETS (DIGEMERGO) was developed based on the DiCoT analysis. The aim of the DIGEMERGO system was to retain core distributed cognitive features of ETS, to increase validity, outcome reliability, and to provide a digital platform for emergency medical studies. DIGEMERGO was evaluated in three separate studies; first, a usefulness, usability, and facevalidation study that involved subject-matter-experts; second, a comparative validation study using an expert-novice group comparison; and finally, a transfer of training study based on self-efficacy and management performance. Overall, the results showed that DIGEMERGO was perceived as a useful, immersive, and promising simulator – with mixed evidence for validity – that demonstrated increased general self-efficacy and management performance following simulation exercises.

This thesis demonstrates that distributed cognition, using DiCoT, is a useful framework for understanding, designing and evaluating simulated environments. In addition, the thesis conceptualizes and re-interprets central constructs of human-centered simulation in terms of distributed cognition. In doing so, the thesis shows how distributed cognitive processes relate to validity, fidelity, functionality, and usefulness of human-centered simulations. This thesis thus provides a new understanding of human-centered simulations that is grounded in distributed cognition theory.

Place, publisher, year, edition, pages
Linköping: Linköping University Electronic Press, 2018. p. 94
Series
Linköping Studies in Science and Technology. Dissertations, ISSN 0345-7524 ; 1913
National Category
Human Computer Interaction
Identifiers
urn:nbn:se:liu:diva-145307 (URN)10.3384/diss.diva-145307 (DOI)9789176853481 (ISBN)
Public defence
2018-04-19, Ada Lovelace, B-huset, Campus Valla, Linköping, 13:15 (English)
Opponent
Supervisors
Available from: 2018-03-20 Created: 2018-03-20 Last updated: 2018-03-21Bibliographically approved

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Rybing, JonasLarsson, JohanJonson, Carl-OscarPrytz, Erik

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