Transitioning Cognitive Aids into Decision Support Platforms: Requirements and Design Guidelines

要旨

Digital cognitive aids have the potential to serve as clinical decision support platforms, triggering alerts about process delays and recommending interventions. In this mixed-methods study, we examined how a digital checklist for pediatric trauma resuscitation could trigger decision support alerts and recommendations. We identified two criteria that cognitive aids must satisfy to support these alerts: (1) context information must be entered in a timely, accurate, and standardized manner, and (2) task status must be accurately documented. Using co-design sessions and near-live simulations, we created two checklist features to satisfy these criteria: a form for entering the pre-hospital information and a progress slider for documenting the progression of a multi-step task. We evaluated these two features in the wild, contributing guidelines for designing these features on cognitive aids to support alerts and recommendations in time- and safety-critical scenarios.

著者
Angela Mastrianni
Drexel University, Philadelphia, Pennsylvania, United States
Aleksandra Sarcevic
Drexel University, Philadelphia, Pennsylvania, United States
Allison Hu
Childrens National Medical Center, Washington, District of Columbia, United States
Lynn Almengor
Drexel University, Philadelphia, Pennsylvania, United States
Peyton E. Tempel
Children's National Hospital, Washington, District of Columbia, United States
Sarah Gao
Princeton University, Princeton, New Jersey, United States
Randall Burd
Children's National Hospital, Washington, District of Columbia, United States
動画

会議: CHI 2024

The ACM CHI Conference on Human Factors in Computing Systems (https://chi2024.acm.org/)

セッション: Crisis Informatics

316B
5 件の発表
2024-05-15 20:00:00
2024-05-15 21:20:00