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Can an Offsite Expert Remotely Evaluate the Visual Estimation of Ejection Fraction via a Social Network Video Call?

Overview of attention for article published in Journal of Imaging Informatics in Medicine, May 2017
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  • In the top 25% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#20 of 709)
  • High Attention Score compared to outputs of the same age (87th percentile)
  • High Attention Score compared to outputs of the same age and source (87th percentile)

Mentioned by

news
2 news outlets
twitter
1 X user

Citations

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13 Dimensions

Readers on

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44 Mendeley
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Title
Can an Offsite Expert Remotely Evaluate the Visual Estimation of Ejection Fraction via a Social Network Video Call?
Published in
Journal of Imaging Informatics in Medicine, May 2017
DOI 10.1007/s10278-017-9974-5
Pubmed ID
Authors

Changsun Kim, Jin Hur, Bo Seung Kang, Hyuk Joong Choi, Jeong-Hun Shin, Tae-Hyung Kim, Jae Ho Chung

Abstract

We aimed to investigate whether an offsite expert could effectively evaluate visually estimated ejection fraction (EF) while watching and guiding the echocardiographic procedure of an onsite novice practitioner using a social network video call. Sixty patients presenting to the intensive care unit and requiring echocardiography between October and November 2016 were included. Sixty novice sonographers without any previous experience of echocardiography participated. Prior to the procedure, the onsite cardiologist completed the echocardiography and determined the EF using the modified Simpson's method (reference value). Then, the novice practitioner performed the echocardiography again with the offsite expert's guidance via a social network video call. The EF was visually estimated by the offsite expert while watching the ultrasound video on the smartphone display. Spearman's rank correlation and Bland-Altman plot analysis were conducted to assess the agreement between the two methods. There was excellent agreement between the two methods, with a correlation coefficient of 0.94 (p < 0.001). The Bland-Altman plot showed that the average bias was -3.05, and the limit of agreement (-10.3 to 4.2) was narrow. The offsite expert was able to perform an accurate visual estimation of ejection fraction remotely via a social network video call by mentoring the onsite novice sonographer. ClinicalTrials.gov Identifier: NCT02960685.

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X Demographics

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 44 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 44 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 7 16%
Researcher 6 14%
Student > Master 6 14%
Other 3 7%
Student > Postgraduate 2 5%
Other 5 11%
Unknown 15 34%
Readers by discipline Count As %
Medicine and Dentistry 12 27%
Nursing and Health Professions 8 18%
Psychology 3 7%
Social Sciences 2 5%
Agricultural and Biological Sciences 1 2%
Other 3 7%
Unknown 15 34%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 17. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 20 March 2018.
All research outputs
#2,289,256
of 26,338,415 outputs
Outputs from Journal of Imaging Informatics in Medicine
#20
of 709 outputs
Outputs of similar age
#40,577
of 329,428 outputs
Outputs of similar age from Journal of Imaging Informatics in Medicine
#1
of 8 outputs
Altmetric has tracked 26,338,415 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 709 research outputs from this source. They receive a mean Attention Score of 3.8. This one has done particularly well, scoring higher than 97% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 329,428 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 87% of its contemporaries.
We're also able to compare this research output to 8 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them