eHealth Policy and Research

ICT for HealthFor two decades the European Commission has contributed to the improvement of healthcare by supporting the research and development of new technologies that can change the way we get health treatment. With i2010, the Commission's strategic framework to create a European Information Society for growth and jobs, the focus is now on meeting the health care needs of our ageing population.

eHealth makes it possible for citizens to get quality health information and view their health records on line, even when travelling in Europe. Secure health networks, containing specific vital information about patients, can be accessed securely by health professionals in any EU Member State. eHealth does this and much more.

eHealth improves relations between patient and health-service administrations, by allowing institution-to-institution transmission of data, and peer-to-peer communication between patients and/or health professionals.

eHealth can also be thought of as health information networks, electronic health records, telemedicine services, and personal wearable, portable and communicable systems to monitor and support patients.

Developing the eHealth market
Today, many European countries and regions are world leaders in eHealth. They have developed advanced health information networks, electronic health records and health cards. See an example in the box below.

The size of the European eHealth industry is currently estimated at €20 billion. Yet there is still much untapped potential that needs to be encouraged.

The Commission has led a number of political initiatives to promote dialogue among healthcare administrations, industry and professionals in the EU Member States.

The eHealth Action Plan
As early as 2004 the Commission adopted an eHealth Action Plan to speed up the development and spread of eHealth systems.

The Member States were asked to draw up national or regional roadmaps for eHealth, define a common approach to patient identifiers, outline interoperability standards for health records and health data messages (the ability of different systems to 'talk to each other'), and support investment in eHealth. This has been done.

The focus is now on removing remaining obstacles to effective realisation of a single European market for eHealth applications, particularly by making sure different systems can exchange records and other information. It is also to deal with legal uncertainty, insufficient financial support and the absence of common procurement procedures.

Present and upcoming actions:

  • A Commission Recommendation on cross border interoperability of electronic health record systems was issued in July 2008;
  • Large scale pilots, supporting interoperability of health information systems across borders, for patient summaries and ePrescription of drugs, were launched in July in 12 member states;
  • Screen existing EU legislation related to eHealth, and provide guidelines for applying the legal framework to eHealth products and services;
  • Finalise studies on privacy and certification (conformity of testing standards for new devices and a common approach towards accreditation of health professionals);
  • Provide guidance on funding opportunities for R&D in EU through the 7th Framework programme (1), Structural Funds (2), or European Investment Bank initiatives (3);
  • Accelerate the creation of innovative eHealth markets through a collaborative initiative of several Commission DGs on lead markets;
  • Issue a Commission Communication on Telemedicine at the end of 2008.
  • Launch studies aimed at the analysis of existing business models for eHealth, and developing methodology to assess the effectiveness of telemedicine applications.
  • Continue to support monitoring eHealth development and deployment across Europe through specific studies and Member State consultations.

Research
To support the development of sustainable and personalised healthcare services for all Europeans, the EU devoted €174 million to healthcare research, related to information and communication technologies at the beginning of its overall research programme (FP7 2007-2013). These millions will be supplemented as FP7 continues, which has allowed a focus on three key elements:

1. Personalised monitoring (72 M€)
Innovative systems and services for monitoring the health status of people at risk or with chronic health conditions, including those associated with ageing. Solutions will be based on wearable or portable systems, enabling efficient management of diseases and early diagnoses of symptoms from a distance. Patients will be able to stay at home without being out of reach of healthcare.

2. Risk assessment and patient safety (30M€)
Advanced computerised systems to alert and prevent injuries or adverse events at an early stage. These include new tools for the prediction, detection and monitoring of impacts on patient safety, like hospital-acquired infections and medicinal side effects.

3. Computer models for personalised and predictive healthcare (72 M€)
Simulation environments for surgery training and planning, integrated biomedical information and imaging, that permits prediction of diseases or an early diagnosis, models and simulation environments for assessment of the efficacy and safety of specific drugs.

For further information:
ICT for Health
European Commission - Information Society and Media,
Office: BU31 06/41 B-1049 Brussels
Tel: +32 2 296 41 94, Fax: +32 2 296 01 81
http://ec.europa.eu/information_society/eHealth

Most Popular Now

Most Advanced Artificial Touch for Brain…

For the first time ever, a complex sense of touch for individuals living with spinal cord injuries is a step closer to reality. A new study published in Science, paves...

From Text to Structured Information Secu…

Artificial intelligence (AI) and above all large language models (LLMs), which also form the basis for ChatGPT, are increasingly in demand in hospitals. However, patient data must always be protected...

Deep Learning Model Helps Detect Lung Tu…

A new deep learning model shows promise in detecting and segmenting lung tumors, according to a study published in Radiology, a journal of the Radiological Society of North America (RSNA)...

New Study Reveals AI's Transformati…

Intensive care units (ICUs) face mounting pressure to effectively manage resources while delivering optimal patient care. Groundbreaking research published in the INFORMS journal Information Systems Research highlights how a novel...

One of the Largest Global Surveys of Soc…

As leaders gather for the World Economic Forum Annual Meeting 2025 in Davos, Leaps by Bayer, the impact investing arm of Bayer, and Boston Consulting Group (BCG) announced the launch...

New Computer Models Open Door to Far Mor…

With antibiotic resistance a growing problem, University of Virginia School of Medicine researchers have developed cutting-edge computer models that could give the disease-fighting drugs a laser-like precision to target only...

New Biomarkers to Detect Colorectal Canc…

Machine learning and artificial intelligence (AI) techniques and analysis of large datasets have helped University of Birmingham researchers to discover proteins that have strong predictive potential for colorectal cancer. In a...

Sam Neville Joins the Highland Marketing…

Leading chief nursing information officer Sam Neville is joining the Highland Marketing advisory board. Sam brings a passion for nursing and safety to the board, which debates the big issues...

AI Model Identifies Potential Risk Genes…

Researchers from the Cleveland Clinic Genome Center have successfully applied advanced artificial intelligence (AI) genetics models to Parkinson's disease. Researchers identified genetic factors in progression and FDA-approved drugs that can...

AI Tool that may Assist Underserved Hosp…

As the fields of healthcare and technology increasingly evolve and intersect, researchers are collaborating on the best ways to use emerging technologies such as artificial intelligence (AI) to care for...

AI-Supported Breast Cancer Screening - N…

The new findings are published in The Lancet Digital Health. The initial results of the Mammography Screening with Artificial Intelligence (MASAI) study* - a randomised trial to evaluate whether AI...

AI Improves Personalized Cancer Treatmen…

Personalized medicine aims to tailor treatments to individual patients. Until now, this has been done using a small number of parameters to predict the course of a disease. However, these...