Evidence map›Paper›PMID 42016051›Full record

ArticleProceedings of the ... Conference on New Technologies for Computer/Robot Assisted Surgery2025

Evaluation of a Novel Intelligent Interruption Management System in High-Fidelity Simulated Cardiac OR to Improve Surgical Safety.

Sanjana Mendu, Roger D Dias, David Arney, Rayan Harari Ebnali, Heather Conboy, Paulo Borges, Theodora Chaspari, Julian Goldman, Giovanna Varni, Marco A Zenati

Abstract read
In one paragraph

Article in Proceedings of the ... Conference on New Technologies for Computer/Robot Assisted Surgery, 2025. 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
–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

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

10 authors.

Sanjana MenduMedical Robotics & Computer Assisted Surgery (MRCAS) Laboratory, Harvard Medical School, Boston, MA.
Roger D DiasSTRATUS Center for Medical Simulation, Department of Emergency Medicine, Brigham and Women's Hospital, Boston, MA.
David ArneyMedical Device Plug-and-Play Interoperability and Cybersecurity Program, Massachusetts General Hospital, Boston, MA.
Rayan Harari EbnaliSTRATUS Center for Medical Simulation, Department of Emergency Medicine, Brigham and Women's Hospital, Boston, MA.
Heather ConboyUniversity of Massachusetts Amherst, Amherst, MA.
Paulo BorgesSTRATUS Center for Medical Simulation, Department of Emergency Medicine, Brigham and Women's Hospital, Boston, MA.
Theodora ChaspariComputer Science & Institute of Cognitive Science, University of Colorado Boulder, Boulder, CO.
Julian GoldmanMedical Device Plug-and-Play Interoperability and Cybersecurity Program, Massachusetts General Hospital, Boston, MA.
Giovanna VarniDepartment of Information Engineering and Computer Science, University of Trento, Trento, Italy.
Marco A ZenatiMedical Robotics & Computer Assisted Surgery (MRCAS) Laboratory, Harvard Medical School, Boston, MA.

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

PubMed holds no abstract for this paper.

Identifiers

PMID42016051
PMCPMC13093145

What OpenQuestion holds

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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.