KEYWORDS: Data modeling, Video, Analytical research, Motion analysis, Databases, System integration, Data integration, Data analysis, Injuries, Imaging informatics
Patients confined to manual wheel-chairs are at an added risk of shoulder injury. There is a need for developing optimal
bio-mechanical techniques for wheel-chair propulsion through movement analysis. Data collected is diverse and in need
of normalization and integration. Current databases are ad-hoc and do not provide flexibility, extensibility and ease of
access. The need for an efficient means to retrieve specific trial data, display it and compare data from multiple trials is
unmet through lack of data association and synchronicity. We propose the development of a robust web-based ePR
system that will enhance workflow and facilitate efficient data management.
Acute intra-cranial hemorrhage (AIH) may result from traumatic brain injury (TBI). Successful management of AIH
depends heavily on the speed and accuracy of diagnosis. Timely diagnosis in emergency environments in both civilian
and military settings is difficult primarily due to severe time restraints and lack of resources. Often, diagnosis is
performed by emergency physicians rather than trained radiologists. As a result, added support in the form of computer-aided
detection (CAD) would greatly enhance the decision-making process and help in providing faster and more
accurate diagnosis of AIH. This paper discusses the implementation of a CAD system in an emergency environment, and
its efficacy in aiding in the detection of AIH.
KEYWORDS: Computer aided design, Data mining, 3D modeling, Magnetic resonance imaging, Databases, Human-machine interfaces, 3D displays, 3D image processing, Imaging systems, Imaging informatics
Multiple sclerosis (MS) is a debilitating autoimmune disease of the central nervous system that damages axonal
pathways through inflammation and demyelination. In order to address the need for a centralized application to manage
and study MS patients, the MS e-Folder - a web-based, disease-specific electronic medical record system - was
developed. The e-Folder has a PHP and MySQL based graphical user interface (GUI) that can serve as both a tool for
clinician decision support and a data mining tool for researchers. This web-based GUI gives the e-Folder a user friendly
interface that can be securely accessed through the internet and requires minimal software installation on the client side.
The e-Folder GUI displays and queries patient medical records--including demographic data, social history, past medical
history, and past MS history. In addition, DICOM format imaging data, and computer aided detection (CAD) results
from a lesion load algorithm are also displayed. The GUI interface is dynamic and allows manipulation of the DICOM
images, such as zoom, pan, and scrolling, and the ability to rotate 3D images. Given the complexity of clinical
management and the need to bolster research in MS, the MS e-Folder system will improve patient care and provide MS
researchers with a function-rich patient data hub.
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