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

Do Fitness Apps do More Harm than Good?

A study published in the British Journal of Health Psychology reveals the negative behavioral and psychological consequences of commercial fitness apps reported by users on social media. These impacts may...

AI Tool Beats Humans at Detecting Parasi…

Scientists at ARUP Laboratories have developed an artificial intelligence (AI) tool that detects intestinal parasites in stool samples more quickly and accurately than traditional methods, potentially transforming how labs diagnose...

Making Cancer Vaccines More Personal

In a new study, University of Arizona researchers created a model for cutaneous squamous cell carcinoma, a type of skin cancer, and identified two mutated tumor proteins, or neoantigens, that...

AI can Better Predict Future Risk for He…

A landmark study led by University' experts has shown that artificial intelligence can better predict how doctors should treat patients following a heart attack. The study, conducted by an international...

A New AI Model Improves the Prediction o…

Breast cancer is the most commonly diagnosed form of cancer in the world among women, with more than 2.3 million cases a year, and continues to be one of the...

AI System Finds Crucial Clues for Diagno…

Doctors often must make critical decisions in minutes, relying on incomplete information. While electronic health records contain vast amounts of patient data, much of it remains difficult to interpret quickly...