Study on the Legal Framework for Interoperable eHealth in Europe

Study on the Legal Framework for Interoperable eHealth in Europe
The objective of the study is to identify and analyse the legal and regulatory framework for electronic health services in the EU Member States and for cross-border services when provided via eHealth applications, in particular in the areas of electronic health records, telemedicine and e-prescription. This report contains the analysis and assessment of the information collected in the Member States and draws some conclusions and recommendations.

To conduct the study the author relied on a network of national legal experts in the 27 Member States. The correspondents are recognized legal experts in the field of this Study themselves but they also contacted the key stakeholders in their country in order to collect all recent information to draft a reliable country profile on the legal status, plans and trends in the field of eHealth of the Member State. Between May and August 2008 these national experts wrote their national country profile on the basis of a common template. All country profiles were subsequently submitted for review and comments to the national representatives of the i2010 subgroup on eHealth.6 The country reports are available on the European Commission's eHealth portal website.

The underlying this study report contains an analysis and assessment of the information provided in the national reports. Starting from the information collected in the Member States, the main objective is to contribute to a better insight into the legal framework for eHealth in Europe.

Download Study on the Legal Framework for Interoperable eHealth in Europe (.pdf, 710 KB).

Download from eHealthNews.EU Portal's mirror: Study on the Legal Framework for Interoperable eHealth in Europe (.pdf, 710 KB).

For further information:
ICT for Health
European Commission - Information society and Media DG
Office: BU31 06/73 B-1049 Brussels
Tel: +32 2 296 41 94
Fax: +32 2 296 01 81
http://europa.eu/information_society/eHealth

Most Popular Now

Open Medical Works with Moray's Dig…

Open Medical is working with the Digital Health & Care Innovation Centre’s Rural Centre of Excellence on a referral management plan, as part of a research and development scheme to...

Generative AI on Track to Shape the Futu…

Using advanced artificial intelligence (AI), researchers have developed a novel method to make drug development faster and more efficient. In a new paper, Xia Ning, lead author of the study and...

AI could Help Improve Early Detection of…

A new study led by investigators at the UCLA Health Jonsson Comprehensive Cancer Center suggests that artificial intelligence (AI) could help detect interval breast cancers - those that develop between...

Reorganisation, Consolidation, and Cuts:…

NHS England has been downsized and abolished. Integrated care boards have been told to change function, consolidate, and deliver savings. Trusts are planning big cuts. The Highland Marketing advisory board...

AI-Human Task-Sharing could Cut Mammogra…

The most effective way to harness the power of artificial intelligence (AI) when screening for breast cancer may be through collaboration with human radiologists - not by wholesale replacing them...

AI Tool Uses Face Photos to Estimate Bio…

Eyes may be the window to the soul, but a person's biological age could be reflected in their facial characteristics. Investigators from Mass General Brigham developed a deep learning algorithm...

Siemens Healthineers infection Control S…

Klinikum Region Hannover (KRH) has commissioned Siemens Healthineers to install infection control system (ICS) at the Klinikum Siloah hospital. The ICS aims to effectively tackle nosocomial infections and increase patient...

Philips Future Health Index 2025 Report …

Royal Philips (NYSE: PHG, AEX: PHIA), a global leader in health technology, today unveiled its 2025 Future Health Index U.S. report, "Building trust in healthcare AI," spotlighting the state of...

AI-Powered Precision: Unlocking the Futu…

A team of researchers from the Department of Diagnostic and Therapeutic Ultrasonography at the Tianjin Medical University Cancer Institute & Hospital, have published a review in Cancer Biology & Medicine...

AI Model Improves Delirium Prediction, L…

An artificial intelligence (AI) model improved outcomes in hospitalized patients by quadrupling the rate of detection and treatment of delirium. The model identifies patients at high risk for delirium and...

Building Trust in Artificial Intelligenc…

A new review, published in the peer-reviewed journal AI in Precision Oncology, explores the multifaceted reasons behind the skepticism surrounding artificial intelligence (AI) technologies in healthcare and advocates for approaches...

SALSA: A New AI Tool for the Automated a…

Investigators of the Vall d'Hebron Institute of Oncology's (VHIO) Radiomics Group, led by Raquel Perez-Lopez, have developed SALSA (System for Automatic Liver tumor Segmentation And detection), a fully automated deep...