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.

Most Popular Now

AI Tool Offers Deep Insight into the Imm…

Researchers explore the human immune system by looking at the active components, namely the various genes and cells involved. But there is a broad range of these, and observations necessarily...

Do Fitness Apps do More Harm than Good?

A study published in the British Journal of Health Psychology reveals the negative behavioral and psychological consequences of commercial fitness apps reported by users on social media. These impacts may...

AI Tool Beats Humans at Detecting Parasi…

Scientists at ARUP Laboratories have developed an artificial intelligence (AI) tool that detects intestinal parasites in stool samples more quickly and accurately than traditional methods, potentially transforming how labs diagnose...

Making Cancer Vaccines More Personal

In a new study, University of Arizona researchers created a model for cutaneous squamous cell carcinoma, a type of skin cancer, and identified two mutated tumor proteins, or neoantigens, that...

AI, Health, and Health Care Today and To…

Artificial intelligence (AI) carries promise and uncertainty for clinicians, patients, and health systems. This JAMA Summit Report presents expert perspectives on the opportunities, risks, and challenges of AI in health...

AI can Better Predict Future Risk for He…

A landmark study led by University' experts has shown that artificial intelligence can better predict how doctors should treat patients following a heart attack. The study, conducted by an international...

AI System Finds Crucial Clues for Diagno…

Doctors often must make critical decisions in minutes, relying on incomplete information. While electronic health records contain vast amounts of patient data, much of it remains difficult to interpret quickly...

Improved Cough-Detection Tech can Help w…

Researchers have improved the ability of wearable health devices to accurately detect when a patient is coughing, making it easier to monitor chronic health conditions and predict health risks such...

A New AI Model Improves the Prediction o…

Breast cancer is the most commonly diagnosed form of cancer in the world among women, with more than 2.3 million cases a year, and continues to be one of the...

Multimodal AI Poised to Revolutionize Ca…

Although artificial intelligence (AI) has already shown promise in cardiovascular medicine, most existing tools analyze only one type of data - such as electrocardiograms or cardiac images - limiting their...

New AI Tool Makes Medical Imaging Proces…

When doctors analyze a medical scan of an organ or area in the body, each part of the image has to be assigned an anatomical label. If the brain is...