Evidence map›Paper›PMID 37694216›Full record

ArticleACM transactions on computer-human interaction : a publication of the Association for Computing Machinery2023

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

Angela Mastrianni, Aleksandra Sarcevic, Allison Hu, Lynn Almengor, Peyton Tempel, Sarah Gao, Randall S Burd

Abstract read
In one paragraph

Article in ACM transactions on computer-human interaction : a publication of the Association for Computing Machinery, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

  1. Trial
  2. Article
  3. Article
  4. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Angela MastrianniCollege of Computing and Informatics, Drexel University, Philadelphia, USA.
Aleksandra SarcevicCollege of Computing and Informatics, Drexel University, Philadelphia, USA.
Allison HuDivision of Trauma and Burn Surgery, Children's National Hospital, Washington, D.C., USA.
Lynn AlmengorCollege of Computing and Informatics, Drexel University, Philadelphia, USA.
Peyton TempelDivision of Trauma and Burn Surgery, Children's National Hospital, Washington, D.C., USA.
Sarah GaoDivision of Trauma and Burn Surgery, Children's National Hospital, Washington, D.C., USA.
Randall S BurdDivision of Trauma and Burn Surgery, Children's National Hospital, Washington, D.C., USA.

Funding

Intention-aware Recommender System for Improving Trauma Resuscitation OutcomesR01LM011834 · NLM · CHILDREN'S RESEARCH INSTITUTE · PI BURD, RANDALL S., MARSIC, IVAN · 2014 to 2023
$4.7M
NLM NIH HHS R01 LM011834
6 · The paper itself

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.

Indexed as

alert fatiguealertsclinical decision support systemcognitive aidelectronic documentationtrauma resuscitation

Identifiers

PMID37694216
PMCPMC10489246

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.