Journal article
Transitioning Cognitive Aids into Decision Support Platforms: Requirements and Design Guidelines
ACM transactions on computer-human interaction
30 Jan 2023
Featured in Collection : UN Sustainable Development Goals @ Drexel
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.
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Details
- Title
- Transitioning Cognitive Aids into Decision Support Platforms: Requirements and Design Guidelines
- Creators
- Angela Mastrianni - Drexel UniversityAleksandra Sarcevic - Drexel UniversityAllison Hu - Children's NationalLynn Almengor - Drexel UniversityPeyton Tempel - Children's NationalSarah Gao - Children's NationalRandall S. Burd - Children's National
- Publication Details
- ACM transactions on computer-human interaction
- Publisher
- Association for Computing Machinery
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- Information Science
- Web of Science ID
- WOS:001020343900008
- Scopus ID
- 2-s2.0-85164302853
- Other Identifier
- 991019897036204721
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- Collaboration types
- Domestic collaboration
- Web of Science research areas
- Computer Science, Cybernetics
- Computer Science, Information Systems