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dc.contributor.author정재호-
dc.date.accessioned2019-12-03T06:36:23Z-
dc.date.available2019-12-03T06:36:23Z-
dc.date.issued2017-12-
dc.identifier.citationJOURNAL OF DIGITAL IMAGING, v. 30, no. 6, page. 718-725en_US
dc.identifier.issn0897-1889-
dc.identifier.issn1618-727X-
dc.identifier.urihttps://link.springer.com/article/10.1007%2Fs10278-017-9974-5-
dc.identifier.urihttps://repository.hanyang.ac.kr/handle/20.500.11754/116886-
dc.description.abstractWe 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.en_US
dc.language.isoen_USen_US
dc.publisherSPRINGERen_US
dc.subjectTelesonographyen_US
dc.subjectViewing of clinical imagingen_US
dc.subjectSmartphoneen_US
dc.titleCan an Offsite Expert Remotely Evaluate the Visual Estimation of Ejection Fraction via a Social Network Video Call?en_US
dc.typeArticleen_US
dc.relation.no6-
dc.relation.volume30-
dc.identifier.doi10.1007/s10278-017-9974-5-
dc.relation.page718-725-
dc.relation.journalJOURNAL OF DIGITAL IMAGING-
dc.contributor.googleauthorKim, Changsun-
dc.contributor.googleauthorHur, Jin-
dc.contributor.googleauthorKang, Bo Seung-
dc.contributor.googleauthorChoi, Hyuk Joong-
dc.contributor.googleauthorShin, Jeong-Hun-
dc.contributor.googleauthorKim, Tae-Hyung-
dc.contributor.googleauthorChung, Jae Ho-
dc.relation.code2017000468-
dc.sector.campusS-
dc.sector.daehakCOLLEGE OF MEDICINE[S]-
dc.sector.departmentDEPARTMENT OF MEDICINE-
dc.identifier.pidjaehochung-
dc.identifier.researcherIDW-3109-2017-
dc.identifier.orcidhttp://orcid.org/0000-0001-6884-7927-
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COLLEGE OF MEDICINE[S](의과대학) > MEDICINE(의학과) > Articles
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