jse.12.1.13919
A Cloud-Based Cross - Enterprise Imaging Framework
ABDULRHMAN ASIRI
Qasem Obeidat
Mamdouh Alenezi
Journal on Software Engineering
2230–7168
12
1
6
25
10.26634/jse.12.1.13919
Electronic Health Record (EHR), Picture Archiving and Communication System (PACS), Digital Imaging and Communications in Medicine (DICOM), Cross-Enterprise Document Sharing (XDS), Cross-Enterprise Document Sharing for Imaging (XDS-I), Unique Identifiers (UIDs), Cross-Community Access for Imaging (XCA-I)
Digital technology in the medical field has grown so fast in the past few years which in turn has necessitated the need for applications that make it possible to effectively manage patient medical records and imaging data. The main objective of facilities working in the medical field worldwide is to give the highest quality of patient care at reduced costs. This does not seem to be an easy task in particular when exchanging information/images and transferring patients between different healthcare institutions. The exchanging of medical imaging is of great importance as it reduces unnecessary repeated images and unnecessary exposure to radiation. As a solution to this problem, there have been several recommendations to employ cloud computing to manage hospital information systems. Sharing and exchanging medical image information can be found in the cloud. The medical images information which can be found in the cloud, 1) can help doctors get the details needed, 2) patients can also receive medical attention in different healthcare facilities, and 3) reduces unnecessary transfers. Thus, there is pressing the need for a faster, more reliable way of exchanging or sharing of patient files/images. This will permit the three parties, viz., patients, healthcare professionals, and healthcare providers to gather, share, and see the diagnostic imaging reports electronically from any hospital; this will solve the archaic issue of copying medical images to CDs, reduce time, and cost connected with unnecessary exams and reduces unnecessary radiation exposure for patients. This paper proposes a framework that will highlight a cloud-based cross-enterprise imaging framework.
July - September 2017
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