Open Call CEF-TC 2015-2: CEF Telecom Call - eHealth

European Commission2015 CEF-TC 2015-2 call aims to support the deployment of generic services by Member States, namely in the areas of Patient Summary and ePrescription/eDispensation, as defined in the relevant guidelines and documents adopted by the eHealth Network and in coherence with the core services in order to allow EU-wide interoperability.

The main objective is to offer a secure peer-to-peer network allowing the exchange of Patient Summaries and ePrescriptions, which will pave the way to reach the following general objectives:

  • enable seamless cross-border care and secure access to patient health information between European healthcare systems, particularly with respect to the exchange of Patient Summary and ePrescription.
  • contribute to patient safety by reducing the frequency of medical errors and by providing quick access to patient health information, as well as by increasing the accessibility of a patient's own prescriptions, also when abroad.
  • provide medical personnel with life-saving information in emergency situations and reduce the repetition of diagnostic procedures.

The maximum co-financing rates of EU financial assistance to be granted under this call for proposals will not exceed 75% of eligible costs of the action.

All practical information on this call for proposals and the evaluation process is detailed in the Guide for Applicants. It is available, together with the application forms, model grant agreement, the 2015 work programme, and other relevant documents on the call web page accessible via this link: https://ec.europa.eu/inea/en/connecting-europe-facility/cef-telecom/apply-funding/2015-cef-telecom-call-ehealth-2015-cef-tc-2015.

Proposals must be submitted electronically using the TENtec eSubmission module. The electronic submission of all parts of the proposal must be completed at the latest by Tuesday, 15 March 2016 at 17:00 Brussels time.

Find your partners or consortia preparing a project proposal
If you need help to identify a potential partner or consortia with particular competences, facilities or experience, please join Health IT Space at http://www.healthitspace.eu

Health IT Space is the first social networking platform for Health IT Professionals and Stakeholders. Explore the list of all Health IT Space registered members at http://www.healthitspace.eu/network/members

Most Popular Now

AI System Helps Doctors Identify Patient…

A new study from Vanderbilt University Medical Center shows that clinical alerts driven by artificial intelligence (AI) can help doctors identify patients at risk for suicide, potentially improving prevention efforts...

Smartphone App can Help Reduce Opioid Us…

Patients with opioid use disorder can reduce their days of opioid use and stay in treatment longer when using a smartphone app as supportive therapy in combination with medication, a...

AI's New Move: Transforming Skin Ca…

Pioneering research has unveiled a powerful new tool in the fight against skin cancer, combining cutting-edge artificial intelligence (AI) with deep learning to enhance the precision of skin lesion classification...

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...

AI can Improve Ovarian Cancer Diagnoses

A new international study led by researchers at Karolinska Institutet in Sweden shows that AI-based models can outperform human experts at identifying ovarian cancer in ultrasound images. The study is...

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...