RIDE

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.

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. Therefore, the RIDE project addressed the interoperability of eHealth systems with special emphasis on semantic interoperability.

In order to create RIDE Roadmap, first the European best practices in providing semantic interoperability for eHealth domain have been assessed and the quantified requirements to create a valid roadmap have been identified. Based on these requirements, the goals, and the economical, legal, financial and technological challenges of the industry for the 21st century for achieving interoperability in eHealth solutions were elaborated. RIDE also focused on the limitations of the policies and strategies currently used in deploying interoperable eHealth solutions. Through eight RIDE workshops a shared vision for building a Europewide semantically interoperable eHealth infrastructure has been created. After assessing the gaps between the "as-is" situation and the "to-be" eHealth vision, the emerging trends and opportunities to achieve the vision statement, the required advances in the state of the art research, technology and standards have been identified.

For further information, please visit:
http://www.srdc.metu.edu.tr/webpage/projects/ride/

Project co-ordinator:
Middle East Technical University - Software R&D Center, (TR),

Partners:

  • Kuratorium Offis E.V., OFFIS, (DE)
  • Institute for Formal Ontology and Medical Information Science, IFOMIS, (DE)
  • European Institute for Health Records, EuroRec, (FR)
  • National Council of Research, Institute for Biomedical Technology, CNR, (IT)
  • National Technical University of Athens, Institute of Communication and Computer Systems, NTUA, ICSS, (GR)
  • National University of Ireland, Digital Enterprise Research Institute, NUIG, DERI, (IL)
  • IHE-D e.V., Integrating the Healthcare Enterprise - Deutschland, IHE-D, (DE)
  • OLE Office Line Engineering NV, OLE, (BE)

Timetable: from 01/06 – to 12/07

Total cost: € 1.223.766

EC funding: € 1.156.269

Instrument: CA

Project Identifier: IST-2004-027065

Source: FP6 eHealth Portfolio of Projects

Most Popular Now

Personalized Breast Cancer Prevention No…

A new telemedicine service for personalised breast cancer prevention has launched at preventcancer.co.uk. It allows women aged 30 to 75 across the UK to understand their risk of developing breast...

New App may Help Caregivers of People Ge…

A new study by investigators from Mass General Brigham showed that a new app they created can help improve the quality of life for caregivers of patients undergoing bone marrow...

An App to Detect Heart Attacks and Strok…

A potentially lifesaving new smartphone app can help people determine if they are suffering heart attacks or strokes and should seek medical attention, a clinical study suggests. The ECHAS app (Emergency...

Philips Foundation 2024 Annual Report: E…

Marking its tenth anniversary, Philips Foundation released its 2024 Annual Report, highlighting a year in which the Philips Foundation helped provide access to quality healthcare for 46.5 million people around...

New AI Transforms Radiology with Speed, …

A first-of-its-kind generative AI system, developed in-house at Northwestern Medicine, is revolutionizing radiology - boosting productivity, identifying life-threatening conditions in milliseconds and offering a breakthrough solution to the global radiologist...

Scientists Argue for More FDA Oversight …

An agile, transparent, and ethics-driven oversight system is needed for the U.S. Food and Drug Administration (FDA) to balance innovation with patient safety when it comes to artificial intelligence-driven medical...

New Research Finds Specific Learning Str…

If data used to train artificial intelligence models for medical applications, such as hospitals across the Greater Toronto Area, differs from the real-world data, it could lead to patient harm...

Giving Doctors an AI-Powered Head Start …

Detection of melanoma and a range of other skin diseases will be faster and more accurate with a new artificial intelligence (AI) powered tool that analyses multiple imaging types simultaneously...

Patients say "Yes..ish" to the…

As artificial intelligence (AI) continues to be integrated in healthcare, a new multinational study involving Aarhus University sheds light on how dental patients really feel about its growing role in...

AI Agents for Oncology

Clinical decision-making in oncology is challenging and requires the analysis of various data types - from medical imaging and genetic information to patient records and treatment guidelines. To effectively support...

'AI Scientist' Suggests Combin…

An 'AI scientist', working in collaboration with human scientists, has found that combinations of cheap and safe drugs - used to treat conditions such as high cholesterol and alcohol dependence...

Brains vs. Bytes: Study Compares Diagnos…

A University of Maine study compared how well artificial intelligence (AI) models and human clinicians handled complex or sensitive medical cases. The study published in the Journal of Health Organization...