Advanced eHealth Country Reports on eHealth ERA Project Website

empiricaThe database of the eHealth ERA Project coordinated by empirica includes a number of extended country reports. They provide details of national eHealth strategy and implementation activities in Europe.

The purpose of the database is to enhance knowledge about eHealth activities and to facilitate co-operation between states and regions in the field of eHealth.

The database includes documents about national eHealth priorities, strategies, roadmaps and RTD programmes in all EU Member States, the Candidate Country of Turkey as well as Iceland, Liechtenstein, Norway and Switzerland. Most documents can be accessed through a hyperlink to the original website.

The database began by providing links to documents about national eHealth activities. eHealth policy fact sheets for almost all European countries were added later and this is the third step in extending the database. It can be accessed via the eHealth ERA Project website.

For further information, please visit:

Related news articles:

About eHealth ERA Project
The overall goal of the eHealth ERA Project is to support Member State innovation-oriented eHealth RTD, identify opportunities for multilateral joint activities, and take steps towards further integration of eHealth deployment and implementation across countries. Towards this end, the project will contribute to

  • greater transparency across Member States with regard to eHealth strategies, RTD policies, and the current state of eHealth implementation,
  • identification and analysis of priority deployment goals and RTD needs,
  • exchange of experience in developing and managing eHealth strategies and programmes,
  • preparation of sustainable mechanisms for trans-national cooperation between Member States for mutual benefit.
Participating countries will thus benefit from an exchange of key information about ongoing activities and lessons learned in other countries, a better understanding of eHealth RTD and implementation in Member States, and an analysis of common priorities and opportunities for concerted actions. For further information, please visit www.ehealth-era.org

About empirica
empirica has many years of experience in quantitative and qualitative research methods. Its clients are private companies and public bodies: large and medium-sized companies in the insurance, pharmaceutical and automobile industries as well as software developers and hardware manufacturers. There are also telecommunications service companies and network providers, social services firms, medical facilities, Federal and State Government ministries in Germany and the European Commission as well as the European statistical office (Eurostat). For further information, please visit www.empirica.com

Most Popular Now

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...

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...

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...

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...

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 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...

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...