Affiliation:
1. College of Computing and Informatics, Drexel University
2. Division of Trauma and Burn Surgery, Children's National Hospital
Abstract
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.
Funder
National Library of Medicine of the National Institutes of Health
National Science Foundation
National Science Foundation Graduate Research Fellowship Program
Publisher
Association for Computing Machinery (ACM)
Subject
Human-Computer Interaction