Cloud-based solution for improving the clinical decision making process for atherosclerotic patients

Project facts

Project promoter:
""Carol Davila"" University of Medicine and Pharmacy(RO)
Project Number:
RO-RESEARCH-0033
Status:
In implementation
Initial project cost:
€1,177,533
Donor Project Partners:
Norwegian University of Science and Technology(NO)
Other Project Partners
Siemens SRL(RO)
Programme:

More information

Description

Cardiovascular disease is the leading cause of death, globally. Approximately 42% are caused by Coronary Artery Disease . The aim of the project is to develop an efficient cloud-based solution for improving the clinical decision making process and correspondingly the long-term outcome for non-culprit lesions in atherosclerotic patients. The aim will be achieved by (i) Development of a cloud-based solution which integrates tools for assessing non-culprit lesions in routine clinical workflows , (ii) Development of a risk score specific for non-culprit lesions in atherosclerotic patients and (iii) Successful completion of the clinical trials planned during the course of the project. The innovative aspects of the proposed approach resides in the attempt to combine a multitude of medical imaging and non-imaging technologies to improve the clinical decision-making process for non-culprit lesion in atherosclerotic patients. This is achieved by additionally performing advanced analytics related to anatomical, functional and morphological assessment of lesions and associated plaque. Moreover, a lesion-specific risk score indicating the future risk of major adverse cardiac event  provides valuable information for the clinical decision making process. At this point the goal is not to develop a method capable of providing directly the clinical decision, but rather present to the clinician the most relevant characteristics and prognostics, and, thus, to allow him to take a more informed decision.  The project partners will accommodate the key needs of the proposal, under the considered topic. It is composed of a partner providing clinical expertise, and two partners with extensive expertise in development and validation of clinical decision support technologies. To ensure that partners engage with each other extensively, all three partners are contributing to the implementation of almost all work packages

Information on the projects funded by the EEA and Norway Grants is provided by the Programme and Fund Operators in the Beneficiary States, who are responsible for the completeness and accuracy of this information.