Comment RIDE Project Deliverables

RIDE is a roadmap project for interoperability of eHealth systems leading to recommendations for actions and to preparatory actions at the European level. This roadmap will prepare the ground for future actions as envisioned in the action plan of the eHealth Communication COM 356 by coordinating various efforts on eHealth interoperability in member states and the associated states. Since it is not realistic to expect to have a single universally accepted clinical data model that will be adhered to all over the Europe and that the clinical practice, terminology systems and EHR systems are all a long way from such a complete harmonization; the RIDE project address the interoperability of eHealth systems with special emphasis on semantic interoperability.

RIDE Project Partners are:
1. Middle East Technical University, Software Research and Development Center METU, SRDC, Turkey
2. OFFIS e.V., Healthcare Information and Communication Systems (OFFIS), Germany
3. Institute for Formal Ontology and Medical Information Science (IFOMIS), Germany
4. European Institute for Health Records (EuroRec), France
5. National Council of Research, Institute for Biomedical Technology (CNR), Italy
6. National Technical University of Athens, Institute of Communication and Computer Systems (NTUA, ICSS), Greece
7. National University of Ireland, Digital Enterprise Research Institute (NUIG, DERI), Ireland
8. IHE-D e.V., Integrating the Healthcare Enterprise - Deutschland (IHE-D), Germany
9. OLE, Office Line Engineering NV (OLE), Belgium

RIDE Project launched a novel dissemination approach; eHealth professionals are very welcome to share their comments regarding the published RIDE Project deliverables. You can see the [send comment] button on the left side of all public deliverables on page http://www.srdc.metu.edu.tr/webpage/projects/ride/modules.php?name=Deliverables. When you press the [send comment] button, a pop-up window appears in which the commentator can both send text comments or upload commented documents.

Coordinator contact details:
Prof. Dr. Asuman Dogac
Department of Computer Engineering
Director of Software Research & Development Center
Middle East Technical University
06531, Ankara, Turkey
http://www.srdc.metu.edu.tr/~asuman
Phone: +90 - 312 - 210 5598 or +90 - 312 - 210 2076
Fax: +90 - 312- 210 5572 or +90 - 312 - 210 1259

Related news article:

Most Popular Now

AI Distinguishes Glioblastoma from Look-…

A Harvard Medical School–led research team has developed an AI tool that can reliably tell apart two look-alike cancers found in the brain but with different origins, behaviors, and treatments. The...

AI Body Composition Measurements can Pre…

Adiposity - or the accumulation of excess fat in the body - is a known driver of cardiometabolic diseases such as heart disease, stroke, type 2 diabetes, and kidney disease...

AI can Strengthen Pandemic Preparedness

How to identify the next dangerous virus before it spreads among people is the central question in a new Comment in The Lancet Infectious Diseases. In it, researchers discuss how...

'Future-Guided' AI Improves Se…

In the world around us, many things exist in the context of time: a bird’s path through the sky is understood as different positions over a period of time, and...

New AI Tool Scans Social Media for Hidde…

A new artificial intelligence tool can scan social media data to discover adverse events associated with consumer health products, according to a study published September 30th in the open-access journal...