Community Research and Development Information Service - CORDIS

The RasDaMan healthcare application

RasDaMan is a database management system that supports radiology consultations through the versatile retrieval of patients' data from large networked image archives. The RasDaMan Healthcare Application is built on top of the RasDaMan Database Management System produced by Forwiss. It is an application mainly addressed to radiologists to support them in the tasks of imaging interpretation and medical diagnosis, either involving doctors at one single site, or performing co-operative diagnosis with other specialists located at remote locations. The application has been designed with a user-friendly user interface which guides the user through intuitive menus and icons without the need of accompanying paper manuals. Doctors are able to query the images repository and visualize all available images satisfying a particular query, performing specific operations over a selected image such as zooming, panning, sub-areas selection, etc.

The first group of possible RasDaMan applications involves patient diagnosis: retrieval and consultation of patient's images for reference prior to the current exploration, independently from the hospital where reference images are stored. This feature would be specially interesting for hospital (especially emergency and intensive care unit (ICU) departments. In primary care units it can be used for patient medical records' update. The image corresponding to the new exploration would be incorporated into the patient's record. It would not be necessary for a radiologist to be physically at the same place where the X-ray images are taken by a technician. Using RasDaMan, a radiologist would be able to supervise the work of several technician using point-to-point links. It should be possible for the radiologist to ask for the whole image or part of it. A second group of RasDaMan applications involve medical teaching. The third group of applications is medical research. Immediate benefit will be for radiologists to support their daily work in radiology diagnosis.

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