Call for Tenders: Studies on eHealth, Interoperability of Health Data and Artificial Intelligence for Health and Care in the EU

European CommissionThe European Commission is launching a tender for two studies to survey and analyse progress on the digital transformation of the health and care in the EU, in particular with regard to citizens' access to their electronic health records (EHR) in the EU Member States and the development, adoption and use of artificial intelligence (AI) technologies in the health and care sector in the EU.

The call for tender includes two specific studies (i.e. lots), and tenderers are free to apply for one or both lots:

Lot I: Interoperability of Electronic Health Records in the EU

This study will survey and analyse the current situation in the EU Member States with regard to the development of interoperable electronic health records systems and enabling technological solutions such as electronic identification, distributed ledger and cybersecurity.

Lot II: Artificial Intelligence for Health and Care in the EU

This study will survey and analyse the current situation in the EU Member States with regard to the development, adoption and use of AI technologies and applications in the health and care sector.

The maximum amount allocated to the studies is EUR 300 000 for Lot I and EUR 200 000 for Lot II.

The closing date of the call is 23 September 2019 at 15:00.

Study reference: SMART 2019/0056

The detailed tender specifications and more information about the procedure and eligibility conditions are available on TED.

For questions and clarifications, please use the online interface.

Post your job offer now to start hiring the best digital health talent! For further information, please contact us.

Most Popular Now

Almost All Leading AI Chatbots Show Sign…

Almost all leading large language models or "chatbots" show signs of mild cognitive impairment in tests widely used to spot early signs of dementia, finds a study in the Christmas...

New Study Reveals Why Organisations are …

The slow adoption of blockchain technology is partly driven by overhyped promises that often obscure the complex technological, organisational, and environmental challenges, according to research from the University of Surrey...

Emotional Cognition Analysis Enables Nea…

A joint research team from the University of Canberra and Kuwait College of Science and Technology has achieved groundbreaking detection of Parkinson's disease with near-perfect accuracy, simply by analyzing brain...

New Recommendations to Increase Transpar…

Patients will be better able to benefit from innovations in medical artificial intelligence (AI) if a new set of internationally-agreed recommendations are followed. A new set of recommendations published in The...

Digital Health Unveils Draft Programme f…

18 - 19 March 2025, Birmingham, UK. Digital Health has unveiled the draft programme for its Rewired 2025 event which will take place at the NEC in Birmingham in March next...

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...

Leveraging AI to Assist Clinicians with …

Physical examinations are important diagnostic tools that can reveal critical insights into a patient's health, but complex conditions may be overlooked if a clinician lacks specialized training in that area...

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...

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...