Back to Search Start Over

Diagnostic concordance between mobile interfaces and conventional workstations for emergency imaging assessment.

Authors :
Venson, José Eduardo
Bevilacqua, Fernando
Berni, Jean
Onuki, Fabio
Maciel, Anderson
Source :
International Journal of Medical Informatics. May2018, Vol. 113, p1-8. 8p.
Publication Year :
2018

Abstract

<bold>Introduction: </bold>Mobile devices and software are now available with sufficient computing power, speed and complexity to allow for real-time interpretation of radiology exams. In this paper, we perform a multivariable user study that investigates concordance of image-based diagnoses provided using mobile devices on the one hand and conventional workstations on the other hand.<bold>Methods: </bold>We performed a between-subjects task-analysis using CT, MRI and radiography datasets. Moreover, we investigated the adequacy of the screen size, image quality, usability and the availability of the tools necessary for the analysis. Radiologists, members of several teams, participated in the experiment under real work conditions. A total of 64 studies with 93 main diagnoses were analyzed.<bold>Results: </bold>Our results showed that 56 cases were classified with complete concordance (87.69%), 5 cases with almost complete concordance (7.69%) and 1 case (1.56%) with partial concordance. Only 2 studies presented discordance between the reports (3.07%). The main reason to explain the cause of those disagreements was the lack of multiplanar reconstruction tool in the mobile viewer. Screen size and image quality had no direct impact on the mobile diagnosis process.<bold>Conclusion: </bold>We concluded that for images from emergency modalities, a mobile interface provides accurate interpretation and swift response, which could benefit patients' healthcare. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
13865056
Volume :
113
Database :
Academic Search Index
Journal :
International Journal of Medical Informatics
Publication Type :
Academic Journal
Accession number :
128719813
Full Text :
https://doi.org/10.1016/j.ijmedinf.2018.01.019