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

Can Language Models Read the Genome? Thi…

The same class of artificial intelligence that made headlines coding software and passing the bar exam has learned to read a different kind of text - the genetic code. That code...

Bayer and Google Cloud to Accelerate Dev…

Bayer and Google Cloud announced a collaboration on the development of artificial intelligence (AI) solutions to support radiologists and ultimately better serve patients. As part of the collaboration, Bayer will...

Study Shows Human Medical Professionals …

When looking for medical information, people can use web search engines or large language models (LLMs) like ChatGPT-4 or Google Bard. However, these artificial intelligence (AI) tools have their limitations...

Shared Digital NHS Prescribing Record co…

Implementing a single shared digital prescribing record across the NHS in England could avoid nearly 1 million drug errors every year, stopping up to 16,000 fewer patients from being harmed...

North West Anglia Works with Clinisys to…

North West Anglia NHS Foundation Trust has replaced two, legacy laboratory information systems with a single instance of Clinisys WinPath. The trust, which serves a catchment of 800,000 patients in North...

Ask Chat GPT about Your Radiation Oncolo…

Cancer patients about to undergo radiation oncology treatment have lots of questions. Could ChatGPT be the best way to get answers? A new Northwestern Medicine study tested a specially designed ChatGPT...

Can AI Techniques Help Clinicians Assess…

Investigators have applied artificial intelligence (AI) techniques to gait analyses and medical records data to provide insights about individuals with leg fractures and aspects of their recovery. The study, published in...

AI Makes Retinal Imaging 100 Times Faste…

Researchers at the National Institutes of Health applied artificial intelligence (AI) to a technique that produces high-resolution images of cells in the eye. They report that with AI, imaging is...

SPARK TSL Acquires Sentean Group

SPARK TSL is acquiring Sentean Group, a Dutch company with a complementary background in hospital entertainment and communication, and bringing its Fusion Bedside platform for clinical and patient apps to...

Standing Up for Health Tech and SMEs: Sh…

AS the new chair of the health and social care council at techUK, Shane Tickell talked to Highland Marketing about his determination to support small and innovative companies, by having...

GPT-4 Matches Radiologists in Detecting …

Large language model GPT-4 matched the performance of radiologists in detecting errors in radiology reports, according to research published in Radiology, a journal of the Radiological Society of North America...

ChatGPT Extracts Data for Ischaemic Stro…

In an ischaemic stroke, an artery in the brain is blocked by blood clots and the brain cells can no longer be supplied with blood as a result. Doctors must...