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Supporting Awareness of Dynamic Data: Approaches to Designing and Capturing Data within Interactive Clinical Checklists
Conference paper

Supporting Awareness of Dynamic Data: Approaches to Designing and Capturing Data within Interactive Clinical Checklists

Angela Mastrianni, Aleksandra Sarcevic, Hua Cui, Megan A. Krentsa, Travis M. Sullivan, Issa Zakeri, Ivan Marsic and Randall S. Burd
DIS '23: Proceedings of the 2023 ACM Designing Interactive Systems Conference, pp 1293-1308
01 Jan 2023
url
https://pmc.ncbi.nlm.nih.gov/articles/PMC12208186/pdf/nihms-2092478.pdfView
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Abstract

Computer Science, Interdisciplinary Applications Computer Science, Theory & Methods Science & Technology Computer Science Engineering Ergonomics Technology
Automatically integrating data within interactive clinical checklists allows for enhanced dynamic displays, while also providing information needed for checklist adaptation to the context of the medical event. In this mixed-methods study, we used user-centered design sessions with clinicians to design a checklist interface that automatically captures and displays dynamic patient data. We compared the manual and automatic checklist versions during video-guided simulation sessions, evaluating the effects of automatic capture on clinicians' interactions with dynamic data and their situation awareness. Despite clinicians' concerns that automatic data capture would affect situation awareness, we found no significant difference in awareness scores. Participants preferred the automatic version, highlighting its improved accuracy and completeness. From our findings, we propose a framework for capturing dynamic data and designing dynamic data interfaces within interactive checklists. We conclude by discussing barriers and design opportunities for supporting awareness of data trends through checklists.

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UN Sustainable Development Goals (SDGs)

This publication has contributed to the advancement of the following goals:

#3 Good Health and Well-Being
#4 Quality Education

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Collaboration types
Domestic collaboration
Web of Science research areas
Computer Science, Interdisciplinary Applications
Computer Science, Theory & Methods
Ergonomics
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