Guidelines on ePrescriptions Dataset for Electronic Exchange under Cross-border Directive 2011/24/EU

These guidelines respond to Article 11 (2-b) of the Directive, which defines the need for "guidelines supporting the Member States in developing the interoperability of ePrescriptions". They are intended to be complementary to Commission Implementing Directive 2012/52/EU of 20 December 2012 laying down measures to facilitate the validation of medical prescriptions issued in another Member State (Implementing Directive 2012/52/EU).

Member States have agreed to work jointly, through the eHealth Network established under Article 14 of Directive 2011/24/EU, on the interoperability of ePrescriptions in order to facilitate the implementation of Article 11 of Directive 2011/24/EU. Article 11 is entitled Recognition of prescriptions issued in another Member State.

The primary focus of these guidelines is to support the objective of cross-border electronic exchange of prescriptions. A secondary focus of the guidelines is to provide material for each Member State to use, if they wish, for reference at national level.

Download: Guidelines on ePrescriptions Dataset for Electronic Exchange under Cross-border Directive 2011/24/EU (.pdf, 1.245 KB).

Download from eHealthNews.eu: Guidelines on ePrescriptions Dataset for Electronic Exchange under Cross-border Directive 2011/24/EU (.pdf, 1.245 KB).

Most Popular Now

Giving Doctors an AI-Powered Head Start …

Detection of melanoma and a range of other skin diseases will be faster and more accurate with a new artificial intelligence (AI) powered tool that analyses multiple imaging types simultaneously...

AI Agents for Oncology

Clinical decision-making in oncology is challenging and requires the analysis of various data types - from medical imaging and genetic information to patient records and treatment guidelines. To effectively support...

AI Medical Receptionist Modernizing Doct…

A virtual medical receptionist named "Cassie," developed through research at Texas A&M University, is transforming the way patients interact with health care providers. Cassie is a digital-human assistant created by Humanate...

Using Data and AI to Create Better Healt…

Academic medical centers could transform patient care by adopting principles from learning health systems principles, according to researchers from Weill Cornell Medicine and the University of California, San Diego. In...

AI Tool Set to Transform Characterisatio…

A multinational team of researchers, co-led by the Garvan Institute of Medical Research, has developed and tested a new AI tool to better characterise the diversity of individual cells within...

AI Detects Hidden Heart Disease Using Ex…

Mass General Brigham researchers have developed a new AI tool in collaboration with the United States Department of Veterans Affairs (VA) to probe through previously collected CT scans and identify...

Human-AI Collectives Make the Most Accur…

Diagnostic errors are among the most serious problems in everyday medical practice. AI systems - especially large language models (LLMs) like ChatGPT-4, Gemini, or Claude 3 - offer new ways...

Northern Ireland Completes Nationwide Ro…

Go-lives at Western and Southern health and social care trusts mean every pathology service is using the same laboratory information management system; improving efficiency and quality. An ambitious technology project to...

Highland Marketing Announced as Official…

Highland Marketing has been named, for the second year running, the official communications partner for HETT Show 2025, the UK's leading digital health conference and exhibition. Taking place 7-8 October...

MHP-Net: A Revolutionary AI Model for Ac…

Liver cancer is the sixth most common cancer globally and a leading cause of cancer-related deaths. Accurate segmentation of liver tumors is a crucial step for the management of the...

Groundbreaking TACIT Algorithm Offers Ne…

Researchers at VCU Massey Comprehensive Cancer Center have developed a novel algorithm that could provide a revolutionary tool for determining the best options for patients - both in the treatment...

The Many Ways that AI Enters Rheumatolog…

High-resolution computed tomography (HRCT) is the standard to diagnose and assess progression in interstitial lung disease (ILD), a key feature in systemic sclerosis (SSc). But AI-assisted interpretation has the potential...