TMA-Bridge

The TMA-Bridge project is aimed at promoting the creation of a European eHealth Area, favouring the mobility of citizens and patients in the European Union.To this end, a set of concrete recommendations has been addressed to the EC and to the governments of the EU Member States.

The Telemedicine Alliance (TMA), in its first phase of work, formulated a Vision for citizen-centred eHealth services by 20107. A key outcome of this study shown that the issue of interoperability was a major obstacle to the implementation of eHealth.

The overall goal of TMA-Bridge, the second phase of work of the TMA,was to provide a Strategic Plan for transnational eHealth interoperability with creative, citizencentred, action-oriented, strategic actionable recommendations. The focus of the plan is to enable the stakeholders to take action to achieve actual and sustainable interoperability. These stakeholders came from all areas, including political, organizational, social, and technical.

The Strategic plan and its recommendations to the European Commission and the EU Member States are in fact relevant for all stakeholders. Indeed, all stakeholders must take heed to these recommendations, and take coordinated and concerted action in order that the immense investment in eHealth now being expended in the individual Member States to contribute to improved healthcare in those States, will also facilitate interoperable trans-national services across Europe. This will help the mobile patient and health professional and could have farreaching implications for ICT development in Europe: the full investment and creative forces of industry can be unleashed in this lucrative market, thus improving the economic health of European industry, as well as that of its citizens only with established and interoperable standards across Europe.

For further information, please visit:
http://www.esa.int/telemedicine-alliance

Project co-ordinator:
European Space Agency (ESA)

Partners:

  • ESA, European Space Research & Technology Centre (ESTEC), Noordwijk, (NL)
  • WHO - Regional Office for Europe, Office for Integrated Health Care Services, Barcelona, (ES)
  • ITU Telecommunication Development Bureau, Geneva, (CH)

Timetable: from 08/04 – to 07/05

Total cost: € 550.000,00

EC funding: € 550.000,00

Instrument: SSA

Project Identifier: IST-2004-507871

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...