SemanticHEALTH

SemanticHEALTH aims to develop a European and global roadmap for deployment and research in health-ICT, focusing on semantic interoperability issues of e-Health systems and infrastructures.The roadmap will be based on consensus of the research community, and validated by stakeholders, industry and Member State health authorities.

The Semantic aspects of interoperability have only recently been recognised as the major enabling factor for the safe and sensible communication of patient data. Health language is very large and diverse, and as such not equalled by other professional languages. The delivery of safe and effective health care is a challenge, particularly as the extent of medical errors is becoming apparent. The US Institute of Medicine report "To Err is Human" has estimated that 100,000 US citizens die each year through medical errors. Though there is no hard evidence on the exact role played by the lack of available adequate clinical documentation on patients, it is assumed the effect is substantial, and for the greater part avoidable.

For further information, please visit:
http://www.semanticHEALTH.org

Project co-ordinator:
Radboud University Nijmegen Medical Centre; Department of Medical Informatics.

Partners:

  • World Health Organization, Geneva (CH);
  • Egeszszgugyi Strategiai Kutatointezet, Budapest (HU);
  • Uppsala Universiteit, Uppsala (SE);
  • Université Jean Monnet Saint Etienne, (FR);
  • University College London, (UK)
  • Empirca Communication and Technology Research (DE, subcontractor)

Timetable: from 01/06 – to 12/07

Total cost: € 968.860,00

EC funding: € 968.860,00

Instrument: SSA

Project Identifier: IST-2005-027328

Source: FP6 eHealth Portfolio of Projects

Most Popular Now

Is AI in Medicine Playing Fair?

As artificial intelligence (AI) rapidly integrates into health care, a new study by researchers at the Icahn School of Medicine at Mount Sinai reveals that all generative AI models may...

Generative AI's Diagnostic Capabili…

The use of generative AI for diagnostics has attracted attention in the medical field and many research papers have been published on this topic. However, because the evaluation criteria were...

New System for the Early Detection of Au…

A team from the Human-Tech Institute-Universitat Politècnica de València has developed a new system for the early detection of Autism Spectrum Disorder (ASD) using virtual reality and artificial intelligence. The...

AI Tool can Track Effectiveness of Multi…

A new artificial intelligence (AI) tool that can help interpret and assess how well treatments are working for patients with multiple sclerosis (MS) has been developed by UCL researchers. AI uses...

Diagnoses and Treatment Recommendations …

A new study led by Prof. Dan Zeltzer, a digital health expert from the Berglas School of Economics at Tel Aviv University, compared the quality of diagnostic and treatment recommendations...

Dr Jason Broch Joins the Highland Market…

The Highland Marketing advisory board has welcomed a new member - Dr Jason Broch, a GP and director with a strong track record in the NHS and IT-enabled transformation. Dr Broch...

Surrey and Sussex Healthcare NHS Trust g…

Surrey and Sussex Healthcare NHS Trust has marked an important milestone in connecting busy radiologists across large parts of South East England, following the successful go live of Sectra's enterprise...

Multi-Resistance in Bacteria Predicted b…

An AI model trained on large amounts of genetic data can predict whether bacteria will become antibiotic-resistant. The new study shows that antibiotic resistance is more easily transmitted between genetically...

DMEA 2025 Ends with Record Attendance an…

8 - 10 April 2025, Berlin, Germany. DMEA 2025 came to a successful close with record attendance and an impressive program. 20,500 participants attended Europe's leading digital health event over the...