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

AI Helps Physicians Better Assess the Ef…

In a small but multi-institutional study, an artificial intelligence (AI)-based system improved providers' assessments of whether patients with bladder cancer had complete response to chemotherapy before a radical cystectomy (bladder...

Smartwatches and Fitness Bands Reveal In…

A new digital health study by researchers at Scripps Research shows how data from wearable sensors, such as smartwatches and fitness bands, can track a person’s physiological response to the...

AI may Detect Earliest Signs of Pancreat…

An artificial intelligence (AI) tool developed by Cedars-Sinai investigators accurately predicted who would develop pancreatic cancer based on what their CT scan images looked like years prior to being diagnosed...

Open Call U4H-2022-PJ2: Call for Proposa…

The Ukraine crisis has an unprecedented impact on the mental health of the displaced people in the EU coming from Ukraine. The conflict and experiences of people in war zones...

AI Reduces Miss Rate of Precancerous Pol…

Artificial intelligence reduced by twofold the rate at which precancerous polyps were missed in colorectal cancer screening, reported a team of international researchers led by Mayo Clinic. The study is...

Medical Valley EMN & Volitan Global …

The two healthcare innovation experts Medical Valley EMN and Volitan Global strengthen their existing inbound- and outbound activities through a strategic partnership. The aim is to offer companies access to...

DMEA - Connecting Digital Health Opens w…

26 - 28 April 2022, Berlin, Germany. What plans does the new federal government have concerning the digital transformation of the healthcare sector? What are the initial experiences of doctors regarding...

AI can Predict Probability of COVID-19 v…

Testing shortages, long waits for results, and an over-taxed health care system have made headlines throughout the COVID-19 pandemic. These issues can be further exacerbated in small or rural communities...

Using AI to Detect Cancer from Patient D…

A new way of using artificial intelligence to predict cancer from patient data without putting personal information at risk has been developed by a team including University of Leeds medical...

Oulu University Hospital Expands Partner…

Siemens Healthineers and Oulu University Hospital in Finland have entered a strategic partnership for the next ten years, adding to an existing radiotherapy collaboration to jointly expand and modernize the...

Positive Conclusion to DMEA - Connecting…

26 - 28 April 2022, Berlin, Germany. After three days DMEA, Europe's leading digital health event, came to a successful conclusion - with around 11,000 visitors, more than 500 exhibitors and...

AI-Enabled ECGs may Identify Patients at…

Atrial fibrillation, the most common cardiac rhythm abnormality, has been linked to one-third of ischemic strokes, the most common type of stroke. But atrial fibrillation is underdiagnosed, partly because many...