Towards Dynamic Checklists

Author:

Kulp Leah1,Sarcevic Aleksandra1,Cheng Megan2,Burd Randall S.2

Affiliation:

1. Drexel University, Philadelphia, PA

2. Children's National Medical Center, Washington, DC

Abstract

The goal of this in-the-wild study was to understand how different patient, provider, and environment contexts affected the use of a tablet-based checklist in a dynamic medical setting. Fifteen team leaders used the digital checklist in 187 actual trauma resuscitations. The measures of checklist interactions included the number of unchecked items and the number of notes written on the checklist. Of the 10 contexts we studied, team leaders’ arrival after the patient and patients with penetrating injuries were both associated with more unchecked items. We also found that the care of patients with external injuries contributed to more notes written on the checklist. Finally, our results showed that more experienced leaders took significantly more notes overall and more numerical notes than less experienced leaders. We conclude by discussing design implications and steps that can be achieved with context-aware computing towards adaptive checklists that meet the needs of dynamic use contexts.

Funder

Agency for Healthcare Research and Quality

National Institutes of Health

National Science Foundation

Publisher

Association for Computing Machinery (ACM)

Subject

Human-Computer Interaction

Cited by 4 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Supporting Awareness of Dynamic Data: Approaches to Designing and Capturing Data within Interactive Clinical Checklists;Proceedings of the 2023 ACM Designing Interactive Systems Conference;2023-07-10

2. Transitioning Cognitive Aids into Decision Support Platforms: Requirements and Design Guidelines;ACM Transactions on Computer-Human Interaction;2023-06-10

3. Checklists and cognitive aids: underutilized and under-researched tools to promote patient safety and optimize clinician performance;Current Opinion in Anaesthesiology;2022-10-20

4. Engineering Adaptive Authentication;2021 IEEE International Conference on Autonomic Computing and Self-Organizing Systems Companion (ACSOS-C);2021-09

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