Evidence map›Paper›PMID 31115755›Full record

ArticleInternational journal of computer assisted radiology and surgery2019

A web-based multidisciplinary team meeting visualisation system.

Hoijoon Jung, Younhyun Jung, David Dagan Feng, Michael Fulham, Jinman Kim

Abstract read
PubMed Publisher
In one paragraph

Article in International journal of computer assisted radiology and surgery, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
1.3field-weighted citation impact, top 10% of its field
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

2 citing papers in PubMed, 5 citations in OpenAlex.

  1. Review
  2. 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

5 authors at 2 institutions in 2 countries.

Hoijoon JungBiomedical and Multimedia Information Technology Research Group, School of Computer Science, The University of Sydney, Sydney, Australia.
Younhyun JungBiomedical and Multimedia Information Technology Research Group, School of Computer Science, The University of Sydney, Sydney, Australia. yjun6175@uni.sydney.edu.au.ORCID http://orcid.org/0000-0003-0552-2281
David Dagan FengBiomedical and Multimedia Information Technology Research Group, School of Computer Science, The University of Sydney, Sydney, Australia.
Michael FulhamBiomedical and Multimedia Information Technology Research Group, School of Computer Science, The University of Sydney, Sydney, Australia.
Jinman KimBiomedical and Multimedia Information Technology Research Group, School of Computer Science, The University of Sydney, Sydney, Australia.
The University of Sydney · AUUniversity of Technology Sydney · AU

Funding

Australian Research Council LP140100686
6 · The paper itself

Abstract

purposeMultidisciplinary team meetings (MDTs) are the standard of care for safe, effective patient management in modern hospital-based clinical practice. Medical imaging data are often the central discussion points in many MDTs, and these data are typically visualised, by all participants, on a common large display. We propose a Web-based MDT visualisation system (WMDT-VS) to allow individual participants to view the data on their own personal computing devices with the potential to customise the imaging data, i.e. different view of the data to that of the common display, for their particular clinical perspective.

methodsWe developed the WMDT-VS by leveraging the state-of-the-art Web technologies to support four MDT visualisation features: (1) 2D and 3D visualisations for multiple imaging modality data; (2) a variety of personal computing devices, e.g. smartphone, tablets, laptops and PCs, to access and navigate medical images individually and share the visualisations; (3) customised participant visualisations; and (4) the addition of extra local image data for visualisation and discussion.

resultsWe outlined these MDT visualisation features on two simulated MDT settings using different imaging data and usage scenarios. We measured compatibility and performances of various personal, consumer-level, computing devices.

conclusionsOur WMDT-VS provides a more comprehensive visualisation experience for MDT participants.

Indexed as

Diagnostic ImagingPatient Care TeamHumansInternetCollaborative visualisationMultidisciplinary team meetingsWeb-based medical visualisation

Identifiers

PMID31115755
OpenAlexW2945183851

What OpenQuestion holds

Textmetadata
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.