Speakers
Description
1. Short overview
Constant growth of grid technology opened the way for new opportunities in terms of information and data exchange in a secure and collaborative context. These new opportunities can be exploited to offer physicians new telemedicine services in order to improve their collaboration capabilities. Our platform gives physicians an easy-to-use telemedicine environment to manage and share patient information between remote locations.
URL for further information:
http://clrwww.in2p3.fr/PCSV/
4. Conclusions / Future plans
Our platform is mainly based on data management services provided by gLite middleware with particular regard to AMGA for medical information management and GFAL APIs for image storage and management on the grid. Our experience with these services is overall positive but the increase in grid reliability, stability and performance opens the way for new features and improvements in order to offer physicians more reliable medical services.
If demonstration is requested please explain what visual or interactive aspects of the contribution necessitate a demonstration rather than a presentation or poster?
During the demonstration we would like to show an example of all the most important features provided by our medical platform. The demonstration will be focused on the user portal and on how physicians can manage and share their medical data and images in different location and with other physician located in remote hospitals.
3. Impact
To allow physicians to manage and exchange medical data and images, the platform uses web services technology and grid services provided by gLite middleware. Physicians access the platform using a web portal developed with the GridSphere portlet container that presents to them a user-friendly interface to access several distributed medical services that manage images and medical information. Medical information is stored locally in the user's hospital using the AMGA metadata catalogue and information between services deployed in different location is exchanged using the SOAP messaging protocol. Medical images are stored anonymized and encrypted on the grid while their corresponding metadata are stored in the local AMGA server. The proposed medical platform allows submitting, monitoring, and managing medically-related jobs such as dosimetric simulations. These jobs are CPU-intensive simulations using a physician’s medical images to predict the result of a cancer dosimetric treatment.
Provide a set of generic keywords that define your contribution (e.g. Data Management, Workflows, High Energy Physics)
Medical Data Management, Data Management, Medical Imaging, Web Services, GridSphere