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

Philips Foundation 2024 Annual Report: E…

Marking its tenth anniversary, Philips Foundation released its 2024 Annual Report, highlighting a year in which the Philips Foundation helped provide access to quality healthcare for 46.5 million people around...

New AI Transforms Radiology with Speed, …

A first-of-its-kind generative AI system, developed in-house at Northwestern Medicine, is revolutionizing radiology - boosting productivity, identifying life-threatening conditions in milliseconds and offering a breakthrough solution to the global radiologist...

Scientists Argue for More FDA Oversight …

An agile, transparent, and ethics-driven oversight system is needed for the U.S. Food and Drug Administration (FDA) to balance innovation with patient safety when it comes to artificial intelligence-driven medical...

New Research Finds Specific Learning Str…

If data used to train artificial intelligence models for medical applications, such as hospitals across the Greater Toronto Area, differs from the real-world data, it could lead to patient harm...

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...

Patients say "Yes..ish" to the…

As artificial intelligence (AI) continues to be integrated in healthcare, a new multinational study involving Aarhus University sheds light on how dental patients really feel about its growing role in...

Brains vs. Bytes: Study Compares Diagnos…

A University of Maine study compared how well artificial intelligence (AI) models and human clinicians handled complex or sensitive medical cases. The study published in the Journal of Health Organization...

'AI Scientist' Suggests Combin…

An 'AI scientist', working in collaboration with human scientists, has found that combinations of cheap and safe drugs - used to treat conditions such as high cholesterol and alcohol dependence...

Start-ups in the Spotlight at MEDICA 202…

17 - 20 November 2025, Düsseldorf, Germany. MEDICA, the leading international trade fair and platform for healthcare innovations, will once again confirm its position as the world's number one hotspot for...