Draft Recommendation on eHealth Interoperability

Draft Recommendation on eHealth InteroperabilityThe ICT for Health Unit of Directorate-General Information Society and Media is in the process of drafting a Recommendation which outlines a set of recommended guidelines for good practice on eHealth interoperability. This draft Recommendation is submitted for informal public consultation.

The overarching notion is of a European service space in which, and through which, European citizens and their designated health professionals can access the necessary health services.

The Recommendation is addressed to all the EU Member States, but it also has relevance for the European Economic Area (EEA) countries, and for the appropriate industries and stakeholder associations that work in the eHealth field.

While the Recommendation is considered especially relevant in a cross-border European context, it has, moreover, very obvious benefits for all European citizens and health professionals in the immediate district, local, and/or regional level where they live and work.

The ICT for Health welcomes all feedback on the current draft text, including any comments, suggestions for amendments and additions, criticism and queries. Suggestions on technical aspects in order to facilitate implementation by Member States would also be welcome.

The deadline for feedback for this informal consultation is September 10, 2007.

Download "Draft Recommendation on eHealth Interoperability" Publication (.pdf, 142 KB)

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

Relationship Between Sleep and Nutrition…

Diet and sleep, which are essential for human survival, are interrelated. However, recently, various services and mobile applications have been introduced for the self-management of health, allowing users to record...

AI Model can Read ECGs to Identify Femal…

A new AI model can flag female patients who are at higher risk of heart disease based on an electrocardiogram (ECG). The researchers say the algorithm, designed specifically for female patients...

New AI Tool Mimics Radiologist Gaze to R…

Artificial intelligence (AI) can scan a chest X-ray and diagnose if an abnormality is fluid in the lungs, an enlarged heart or cancer. But being right is not enough, said...

To be Happier, Take a Vacation... from Y…

Today, nearly every American - 91% - owns a cellphone that can access the internet, according to the Pew Research Center. In 2011, only about one-third did. Another study finds...

DMEA 2025 - Innovations, Insights and Ne…

8 - 10 April 2025, Berlin, Germany. Less than 50 days to go before DMEA 2025 opens its doors: Europe's leading event for digital health will once again bring together experts...

Researchers Find Telemedicine may Help R…

Low-value care - medical tests and procedures that provide little to no benefit to patients - contributes to excess medical spending and both direct and cascading harms to patients. A...

AI Revolutionizes Glaucoma Care

Imagine walking into a supermarket, train station, or shopping mall and having your eyes screened for glaucoma within seconds - no appointment needed. With the AI-based Glaucoma Screening (AI-GS) network...

North Cumbria Integrated Care Signs 10-Y…

North Cumbria Integrated Care NHS Foundation Trust (NCIC) has signed a long-term agreement for use of the Alcidion Miya Precision platform, to provide an electronic patient record (EPR) for the...

AI Accelerates Discovery of Neurodevelop…

Researchers have developed an artificial intelligence (AI) approach that accelerates the identification of genes that contribute to neurodevelopmental conditions such as autism spectrum disorder, epilepsy and developmental delay. This new...

AI may Help Clinicians Personalize Treat…

Individuals with generalized anxiety disorder (GAD), a condition characterized by daily excessive worry lasting at least six months, have a high relapse rate even after receiving treatment. Artificial intelligence (AI)...

AI can Open Up Beds in the ICU

At the height of the COVID-19 pandemic, hospitals frequently ran short of beds in intensive care units. But even earlier, ICUs faced challenges in keeping beds available. With an aging...

AI Model Predicting Two-Year Risk of Com…

AFib (short for atrial fibrillation), a common heart rhythm disorder in adults, can have disastrous consequences including life-threatening blood clots and stroke if left undetected or untreated. A new study...