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The Comparison of Pixel Size and Anatomy Information of Radiograph Digital Image using DICOM viewer and Whatsapp

Authors :
Tengku Mohammad Yoshandi
Abdul Zaky
Annisa Mahfuyana
Source :
Jurnal Komputer Terapan, Vol 9, Iss 2 (2023)
Publication Year :
2023
Publisher :
Politeknik Caltex Riau, 2023.

Abstract

Technological advancement provides the biggest impact on the administration and information delivery system in hospitals. The adoption of a Paperless policy by hospitals demands that all activities involving information delivery to be done digitally. The availability of relevant media such as smartphones serve to support the adoption of such a policy. Patients who required the services of the Radiology Facility used to be given printed rontgen images to assist their doctors in their diagnosis, but with the emergence of digitalization, the patients are now provided with digital images that are distributed via WhatsApp. Such a method can also be applied to Radiograph interpretation, where information can be delivered remotely through the usage of PACs and/or WhatsApp. The interpretation standard for radiographs utilizes the DICOM Viewer, which means that recent social media developments offer an increased ease of access to the interpretation process by way of WhatsApp. The image that is sent via WhatsApp typically gets compressed, which consequently causes a loss of information in the image. This study aims to compare doctor’s opinions and image quality viewed between WhatsApp and DICOM viewer. This study is a quanitative comparative study through documentation, observation, and data collecting questionnaire. The study found that the image that was sent using WhatsApp suffered a decrease in size and pixel quantity. Therefore, the anatomical information provided by the two radiographs were different.

Details

Language :
Indonesian
ISSN :
24434159 and 24605255
Volume :
9
Issue :
2
Database :
Directory of Open Access Journals
Journal :
Jurnal Komputer Terapan
Publication Type :
Academic Journal
Accession number :
edsdoj.8ee7e65d5faf44ada15ff2b291813d55
Document Type :
article
Full Text :
https://doi.org/10.35143/jkt.v9i2.5942