Study on Cross-Border Health Services: Enhancing Information Provision to Patients

The overall objective of this study was to propose recommendations for improving the current level of information provision to patients by National Contact Points (NCPs). The research methodology used in this study consisted of: literature review, analysis of legal texts, website analysis, pseudo-patient investigation, NCP and patient surveys, bilateral exchanges and a workshop with NCPs. Core findings of the study are:

  • There is a general lack of awareness of the existence of the Directive 2011/24/EU and NCPs. Almost five years after the implementation of the Directive, patients awareness on their rights and possibilities to access health services abroad and on the existence of NCPs is still low;
  • The information provision through NCP websites was adequate, but there remains a need to further improve the websites. In particular, information on patient's rights, quality and safety standards, and reimbursement of cross-border healthcare costs require additional consideration and improvement;
  • There are big organisational differences between NCPs regarding the number of NCPs in each Member State, the institution hosting the NCP, funding and staff, and organisational handling of patients. Significant improvements have been achieved since the implementation of the Directive, however there is still room for further improvement;
  • Information provision for incoming patients is in general less complete compared to that for outgoing patients;
  • Overall, there is still ample room for improvement in NCP practices. There is especially great potential for NCPs to learn from each other and help each other improve their information provision to patients in the context of cross-border healthcare.

Download: Study on Cross-Border Health Services: Enhancing Information Provision to Patients (1.385 KB).

Download from eHealthNews.eu: Study on Cross-Border Health Services: Enhancing Information Provision to Patients (1.385 KB).

Most Popular Now

Most Advanced Artificial Touch for Brain…

For the first time ever, a complex sense of touch for individuals living with spinal cord injuries is a step closer to reality. A new study published in Science, paves...

Predicting the Progression of Autoimmune…

Autoimmune diseases, where the immune system mistakenly attacks the body's own healthy cells and tissues, often have a preclinical stage before diagnosis that’s characterized by mild symptoms or certain antibodies...

Major EU Project to Investigate Societal…

A new €3 million EU research project led by University College Dublin (UCD) Centre for Digital Policy will explore the benefits and risks of Artificial Intelligence (AI) from a societal...

Using AI to Uncover Hospital Patients�…

Across the United States, no hospital is the same. Equipment, staffing, technical capabilities, and patient populations can all differ. So, while the profiles developed for people with common conditions may...

New AI Tool Uses Routine Blood Tests to …

Doctors around the world may soon have access to a new tool that could better predict whether individual cancer patients will benefit from immune checkpoint inhibitors - a type of...

New Method Tracks the 'Learning Cur…

Introducing Annotatability - a powerful new framework to address a major challenge in biological research by examining how artificial neural networks learn to label genomic data. Genomic datasets often contain...

Picking the Right Doctor? AI could Help

Years ago, as she sat in waiting rooms, Maytal Saar-Tsechansky began to wonder how people chose a good doctor when they had no way of knowing a doctor's track record...

From Text to Structured Information Secu…

Artificial intelligence (AI) and above all large language models (LLMs), which also form the basis for ChatGPT, are increasingly in demand in hospitals. However, patient data must always be protected...

AI Innovation Unlocks Non-Surgical Way t…

Researchers have developed an artificial intelligence (AI) model to detect the spread of metastatic brain cancer using MRI scans, offering insights into patients’ cancer without aggressive surgery. The proof-of-concept study, co-led...

Deep Learning Model Helps Detect Lung Tu…

A new deep learning model shows promise in detecting and segmenting lung tumors, according to a study published in Radiology, a journal of the Radiological Society of North America (RSNA)...

One of the Largest Global Surveys of Soc…

As leaders gather for the World Economic Forum Annual Meeting 2025 in Davos, Leaps by Bayer, the impact investing arm of Bayer, and Boston Consulting Group (BCG) announced the launch...

New Study Reveals AI's Transformati…

Intensive care units (ICUs) face mounting pressure to effectively manage resources while delivering optimal patient care. Groundbreaking research published in the INFORMS journal Information Systems Research highlights how a novel...