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Robot-Assisted Remote Echocardiographic Examination and Teleconsultation: A Randomized Comparison of Time to Diagnosis With Standard of Care Referral Approach
Umeå University, Faculty of Medicine, Department of Public Health and Clinical Medicine, Medicine. Research Unit, Department of Medicine, Skellefteå. (Arcum)
Umeå University, Faculty of Medicine, Department of Public Health and Clinical Medicine, Medicine. Research Unit, Department of Medicine, Skellefteå. (Arcum)
Umeå University, Faculty of Medicine, Department of Public Health and Clinical Medicine, Medicine. Primary Health Care Center, Storuman.
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2014 (English)In: JACC Cardiovascular Imaging, ISSN 1936-878X, E-ISSN 1876-7591, Vol. 7, no 8, 799-803 p.Article in journal (Refereed) Published
Abstract [en]

The strategy using cardiological consultation in addition to the robot-assisted remote echocardiography at a distance was tested in a prospective, randomized open-Label trial to evaluate its feasibility and to define its clinical value in a rural area. The present study involved 1 primary healthcare center in the north of Sweden, 135 miles from the hospital where the echocardiograms and the cardiology teleconsultation were performed tong distance in real time. Nineteen patients were randomized to remote consultation and imaging, and 19 to the standard of care consultation. The total process time was significantly reduced in the former arm (median 114 days vs. 26.5 days; p < 0.001). The time from randomization until attaining a specialist consultation was also significantly reduced (p < 0.001). The patients satisfaction was reassuring; they considered that the remote consultation strategy offered an increased rapidity of diagnosis and the likelihood of receiving faster management compared with the standard of care at the primary healthcare center. 

Place, publisher, year, edition, pages
2014. Vol. 7, no 8, 799-803 p.
Keyword [en]
real-time, remote consultation, remote-echocardiography, robot-assisted, telemedicine
National Category
Cardiac and Cardiovascular Systems Radiology, Nuclear Medicine and Medical Imaging
Identifiers
URN: urn:nbn:se:umu:diva-104166DOI: 10.1016/j.jcmg.2014.05.006ISI: 000340985600009PubMedID: 25124011OAI: oai:DiVA.org:umu-104166DiVA: diva2:822803
Available from: 2015-06-17 Created: 2015-06-08 Last updated: 2017-12-04Bibliographically approved

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CiteExportLink to record
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