Evidence map›Paper›PMID 34723287›Full record

ArticleIEEE Conference on Cognitive and Computational Aspects of Situation Management (CogSIMA)2020

Digital Cognitive Aids to Support Adaptation of Surgical Processes to COVID-19 Protective Policies.

Heather M Conboy, Lauren R Kennedy-Metz, George S Avrunin, Lori A Clarke, Leon J Osterweil, Roger D Dias, Marco A Zenati

Abstract read
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In one paragraph

Article in IEEE Conference on Cognitive and Computational Aspects of Situation Management (CogSIMA), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
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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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Heather M ConboyUniversity of Massachusetts Amherst Amherst, MA, US.
Lauren R Kennedy-MetzMedical Robotics and Computer Assisted Surgery Lab, Harvard Medical School; Division of Cardiac Surgery, VA Boston Healthcare System Boston, MA, US.
George S AvruninUniversity of Massachusetts Amherst Amherst, MA, US.
Lori A ClarkeUniversity of Massachusetts Amherst Amherst, MA, US.
Leon J OsterweilUniversity of Massachusetts Amherst Amherst, MA, US.
Roger D DiasHuman Factors and Cognitive Engineering Lab, STRATUS Center for Medical Simulation Brigham and Women's Hospital Boston, MA, US.
Marco A ZenatiMedical Robotics and Computer Assisted Surgery Lab, Harvard Medical School; Division of Cardiac Surgery, VA Boston Healthcare System Boston, MA, US.

Funding

Developing Standardized Intraoperative Process Models to Enhance Surgical SafetyR01HL126896 · NHLBI · HARVARD MEDICAL SCHOOL · PI ZENATI, MARCO A. · 2016 to 2023
$3.7M
NHLBI NIH HHS R01 HL126896
6 · The paper itself

Abstract

Surgical processes are rapidly being adapted to address the COVID-19 pandemic, with changes in procedures and responsibilities being made to protect both patients and medical teams. These process changes put new cognitive demands on the medical team and increase the likelihood of miscommunication, lapses in judgment, and medical errors. We describe two process model driven cognitive aids, referred to as the Narrative View and the Smart Checklist View, generated automatically from models of the processes. The immediate perceived utility of these cognitive aids is to support medical simulations, particularly when frequent adaptations are needed to quickly respond to changing operating room guidelines.

Indexed as

cognitive aidCOVID-19process modelingsituational awareness

Identifiers

PMID34723287
PMCPMC8555746

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Registered trials

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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.