eHealth ERA

The vision of transparent European healthcare systems which deliver high quality healthcare to all citizens independent of their location when in need of care is coming closer to reality. A European eHealth space facilitates this development.

The overall goal of the eHealth ERA project is to contribute to greater transparency of national eHealth strategies and implementation activities as well as innovationoriented research and technology development (RTD) initiatives. Thereby the project aimed at fostering an effective European Research and innovation Area (ERA) in eHealth.

Towards these ends, the project has contributed to:

  • creating greater transparency with regard to national eHealth strategies and measures to achieve national eHealth visions,
  • identifying and analysing priority deployment goals and resulting RTD needs,
  • exchanging experience in developing and managing eHealth strategies and programmes,
  • recommending sustainable mechanisms for effective trans-national cooperation between several of the participating states for mutual benefit.

For further information, please visit:
http://www.ehealth-era.org

Project co-ordinator:
empirica GmbH, Bonn, Germany

Partners:

  • National Research and Development Centre for Welfare and Health (STAKES), Helsinki, Finland
  • Consiglio Nazionale delle Ricerche (CNR), Rome, Italy
  • Centre of Innovation,Technology Transfer and University Development (CITTRU), Jagiellonian University, Krakow, Poland
  • Ministerio de Sanidad y Consumo, Instituto de Salud Carlos III (ISCIII), Madrid, Spain
  • Engineering and Physical Sciences Research Council (EPSRC), Swindon, United Kingdom
  • Imperial College, London, United Kingdom

Timetable: 27 months (4/05 - 6/07)

Total cost: € 1.065.233

EC funding: € 950.000

Instrument: SSA

Project Identifier: IST-2004-015854

Most Popular Now

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...

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...

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...

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, Health, and Health Care Today and To…

Artificial intelligence (AI) carries promise and uncertainty for clinicians, patients, and health systems. This JAMA Summit Report presents expert perspectives on the opportunities, risks, and challenges of AI in health...

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...

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...

Improved Cough-Detection Tech can Help w…

Researchers have improved the ability of wearable health devices to accurately detect when a patient is coughing, making it easier to monitor chronic health conditions and predict health risks such...

Multimodal AI Poised to Revolutionize Ca…

Although artificial intelligence (AI) has already shown promise in cardiovascular medicine, most existing tools analyze only one type of data - such as electrocardiograms or cardiac images - limiting their...

New AI Tool Makes Medical Imaging Proces…

When doctors analyze a medical scan of an organ or area in the body, each part of the image has to be assigned an anatomical label. If the brain is...