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Erschienen in: Journal of Digital Imaging 6/2017

08.05.2017

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

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

Erschienen in: Journal of Imaging Informatics in Medicine | Ausgabe 6/2017

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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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Metadaten
Titel
Can an Offsite Expert Remotely Evaluate the Visual Estimation of Ejection Fraction via a Social Network Video Call?
verfasst von
Changsun Kim
Jin Hur
Bo Seung Kang
Hyuk Joong Choi
Jeong-Hun Shin
Tae-Hyung Kim
Jae Ho Chung
Publikationsdatum
08.05.2017
Verlag
Springer International Publishing
Erschienen in
Journal of Imaging Informatics in Medicine / Ausgabe 6/2017
Print ISSN: 2948-2925
Elektronische ISSN: 2948-2933
DOI
https://doi.org/10.1007/s10278-017-9974-5

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