TY - JOUR
T1 - Bitbox
T2 - A Cloud-based data sharing solution for medical images
AU - Easmin, Rubaida
AU - Nordio, Giovanna
AU - Giacomel, Alessio
AU - Turkheimer, Federico
AU - Williams, Steven
AU - Veronese, Mattia
N1 - Funding Information:
*Reserch supported by Wellcome Trust and NIHR Maudsley Biomedical Research Centre.
Publisher Copyright:
© 2022 IEEE.
PY - 2022/9/8
Y1 - 2022/9/8
N2 - With the modernization and digitisation of the healthcare system, the need for exchanging medical data has become increasingly compelling. Biomedical imaging has been no exception, where the gathering of medical imaging acquisitions from multi-site collaborations have enabled to reach data sizes never imaginable until few years ago. Usually, medical imaging data have very large volume and diverse complexity, requiring bespoken transfer systems that protect personal information as well as data integrity. Despite many digital innovations, there are still technical and regulatory bottlenecks that make biomedical imaging data exchange challenging. Here we present Bitbox, a web-based application which provides a reliable yet straightforward service to securely exchange medical imaging data. With Bitbox, both imaging and non-imaging data of any type can be transferred from any external and independent site into a centralized server. A showcase of the system will be illustrated for the COVID-19 Clinical Neuroscience Study (COVID-CNS) project, a UK-wide experimental medicine study to investigate the neurological and neuropsychiatric effects of COVID-19 infections in hundreds of patients.
AB - With the modernization and digitisation of the healthcare system, the need for exchanging medical data has become increasingly compelling. Biomedical imaging has been no exception, where the gathering of medical imaging acquisitions from multi-site collaborations have enabled to reach data sizes never imaginable until few years ago. Usually, medical imaging data have very large volume and diverse complexity, requiring bespoken transfer systems that protect personal information as well as data integrity. Despite many digital innovations, there are still technical and regulatory bottlenecks that make biomedical imaging data exchange challenging. Here we present Bitbox, a web-based application which provides a reliable yet straightforward service to securely exchange medical imaging data. With Bitbox, both imaging and non-imaging data of any type can be transferred from any external and independent site into a centralized server. A showcase of the system will be illustrated for the COVID-19 Clinical Neuroscience Study (COVID-CNS) project, a UK-wide experimental medicine study to investigate the neurological and neuropsychiatric effects of COVID-19 infections in hundreds of patients.
KW - COVID-19
KW - Cloud Computing
KW - Delivery of Health Care
KW - Diagnostic Imaging
KW - Humans
KW - Information Dissemination
UR - http://www.scopus.com/inward/record.url?scp=85138128856&partnerID=8YFLogxK
U2 - 10.1109/EMBC48229.2022.9871689
DO - 10.1109/EMBC48229.2022.9871689
M3 - Article
C2 - 36083944
SN - 2375-7477
VL - 2022
SP - 2712
EP - 2715
JO - Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
JF - Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
ER -