eHealth Action Plan - 1 year of progress

eHealth Action Plan - progress report 2005This progress report describes the main results of a first year of work since the publication of the eHealth Action Plan: activities undertaken by the European Commission and Member States together.

What if it were possible for every European citizen to select the precise place where they can receive that healthcare? What if they were to have the means and the information about Europe's healthcare organisations and healthcare infrastructure so as to ensure absolutely their own continuity of care?

It is precisely these kinds of scenarios that the 2004 eHealth Action Plan (COM(2004)356) facilitates by proposing both a set of actions and an associated roadmap to help in defining a European eHealth Information Space.

Today's eHealth solutions in Europe are extremely select, designed in particular circumstances very often for limited numbers of patients or health professionals, in idiosyncratic circumstances: in summary – they are fragmented. To turn the situation round, a more effective coordination of implementation efforts of eHealth systems and services would greatly benefit patients, industry and health systems across the whole of the European Union. A more structured approach to an integrated, interoperable European approach to eHealth systems and services would be a great step forward.

This progress report describes the main results of a first year of work since the publication of the eHealth Action Plan: activities undertaken by the European Commission and Member States together. There has particularly been a very close cooperation between the Commission services and the members of the i2010 subgroup on eHealth.

The report also gives an overview of the next steps to come, and the results anticipated from a number of projects and studies that have been launched in the Action Plan's first year.

Indeed, the report illustrates both the promises inherent but also the difficulties evident in such an ambitious initiative. Ultimately, this collaboration must depend on the engagement of the main actors involved and the resources, organisational, human and financial, invested in it.

Download eHealth action plan - progress report 2005 (.pdf, 3,8 MB)

For further information:
ICT for Health
European Commission - Information society and Media DG
Office: BU31 06/73 B-1049 Brussels
Email: This email address is being protected from spambots. You need JavaScript enabled to view it.
Tel: +32 2 296 41 94
Fax: +32 2 296 01 81
http://europa.eu/information_society/eHealth

Most Popular Now

Integrating Care Records is Good. Using …

Opinion Article by Dr Paul Deffley, Chief Medical Officer, Alcidion. A single patient record already exists in the NHS. Or at least, that’s a perception shared by many. A survey of...

Should AI Chatbots Replace Your Therapis…

The new study exposes the dangerous flaws in using artificial intelligence (AI) chatbots for mental health support. For the first time, the researchers evaluated these AI systems against clinical standards...

AI could Help Pathologists Match Cancer …

A new study by researchers at the Icahn School of Medicine at Mount Sinai, Memorial Sloan Kettering Cancer Center, and collaborators, suggests that artificial intelligence (AI) could significantly improve how...

AI Detects Early Signs of Osteoporosis f…

Investigators have developed an artificial intelligence-assisted diagnostic system that can estimate bone mineral density in both the lumbar spine and the femur of the upper leg, based on X-ray images...

AI Model Converts Hospital Records into …

UCLA researchers have developed an AI system that turns fragmented electronic health records (EHR) normally in tables into readable narratives, allowing artificial intelligence to make sense of complex patient histories...

AI Sharpens Pathologists' Interpret…

Pathologists' examinations of tissue samples from skin cancer tumours improved when they were assisted by an AI tool. The assessments became more consistent and patients' prognoses were described more accurately...

AI Tool Detects Surgical Site Infections…

A team of Mayo Clinic researchers has developed an artificial intelligence (AI) system that can detect surgical site infections (SSIs) with high accuracy from patient-submitted postoperative wound photos, potentially transforming...

Forging a Novel Therapeutic Path for Pat…

Rett syndrome is a devastating rare genetic childhood disorder primarily affecting girls. Merely 1 out of 10,000 girls are born with it and much fewer boys. It is caused by...

Mayo Clinic's AI Tool Identifies 9 …

Mayo Clinic researchers have developed a new artificial intelligence (AI) tool that helps clinicians identify brain activity patterns linked to nine types of dementia, including Alzheimer's disease, using a single...

AI Detects Fatty Liver Disease with Ches…

Fatty liver disease, caused by the accumulation of fat in the liver, is estimated to affect one in four people worldwide. If left untreated, it can lead to serious complications...

AI Matches Doctors in Mapping Lung Tumor…

In radiation therapy, precision can save lives. Oncologists must carefully map the size and location of a tumor before delivering high-dose radiation to destroy cancer cells while sparing healthy tissue...

Meet Your Digital Twin

Before an important meeting or when a big decision needs to be made, we often mentally run through various scenarios before settling on the best course of action. But when...