Commission Approves Aid for Innovative Medical Services in Remote Areas of Saxony

European CommissionThe European Commission has found German plans to support the setup of a platform for telemedicine services in eastern Saxony in line with EU state aid rules. The platform will allow providing medical services at a distance where the actors, for instance doctors and patients, cannot meet in the same location. The Commission concluded that, in line with EU objectives, the aid will make medical care more accessible for citizens, without unduly distorting competition in the Single Market.

Commission Vice-President in charge of competition policy, Joaquín Almunia, said: "The telemedicine project in Saxony will improve access to medical services for citizens in remote areas without unduly distorting competition. This is the first Commission state aid decision in the sector and it can serve as an example for future projects."

The rural areas of eastern Saxony are faced with a limited availability of medical care and with an ageing population. Therefore, Saxony intends to grant up to €10 million over five years for improving the medical care for several thousands of citizens in these areas by making telemedicine services generally available. Telemedicine consists in providing medical services at a distance. Among others, patients could consult their doctor by video telephony and hence avoid a long trip to the hospital.

The aid is co-financed by the European Regional Development Fund and will be awarded to a partnership between a specialist medical sponsor (Carus Consilium Sachsen GmbH) and T-Systems International GmbH, a subsidiary of Deutsche Telekom AG. Although there have been prior telemedicine projects in Germany, their scale and scope was much more limited than the current project in Saxony.

The Commission considers that the development of telemedicine services improves citizens' access to (specialised) healthcare in remote areas and thereby contributes to an objective of European interest. Moreover, the German measure will allow third parties to offer health services on the telemedicine platform for a reasonable fee that will be capped for a period of 10 years. This will limit potential distortions of competition brought about by the aid. The development of new telemedicine applications by the aid beneficiaries will also be restricted, so as to prevent that they control both the telemedicine platform and the applications and crowd out competitors from the market.

The Commission therefore concluded that the measure was in line with Article 107(3)(c) of the Treaty on the functioning of the European Union, that allows to grant aid for the development of certain economic activities, provided that it does not adversely affect trading conditions.

Article 107(3)(c) of the Treaty on the functioning of the European Union (TFEU) allows Member States to grant aid for the development of certain economic activities, provided that it does not adversely affect trading conditions.

Telemedicine - the provision of healthcare services at a distance - can help improve the lives of European citizens, both patients and health professionals, while tackling the challenges to healthcare systems.1 Under Article 168(1) of the TFEU, a high level of human health protection shall be ensured in the implementation of all European Union policies. Member States are responsible for the organization and provision of healthcare.

This is the first support for telemedicine infrastructure that the Commission has cleared under EU State aid rules.

The non-confidential version of the decision will be made available under the case number SA.35679 in the State Aid Register on the DG Competition website once any confidentiality issues have been resolved. New publications of State aid decisions on the internet and in the Official Journal are listed in the State Aid Weekly e-News.

Most Popular Now

Philips Foundation 2024 Annual Report: E…

Marking its tenth anniversary, Philips Foundation released its 2024 Annual Report, highlighting a year in which the Philips Foundation helped provide access to quality healthcare for 46.5 million people around...

Giving Doctors an AI-Powered Head Start …

Detection of melanoma and a range of other skin diseases will be faster and more accurate with a new artificial intelligence (AI) powered tool that analyses multiple imaging types simultaneously...

Scientists Argue for More FDA Oversight …

An agile, transparent, and ethics-driven oversight system is needed for the U.S. Food and Drug Administration (FDA) to balance innovation with patient safety when it comes to artificial intelligence-driven medical...

AI Agents for Oncology

Clinical decision-making in oncology is challenging and requires the analysis of various data types - from medical imaging and genetic information to patient records and treatment guidelines. To effectively support...

Start-ups in the Spotlight at MEDICA 202…

17 - 20 November 2025, Düsseldorf, Germany. MEDICA, the leading international trade fair and platform for healthcare innovations, will once again confirm its position as the world's number one hotspot for...

Using Data and AI to Create Better Healt…

Academic medical centers could transform patient care by adopting principles from learning health systems principles, according to researchers from Weill Cornell Medicine and the University of California, San Diego. In...

AI Medical Receptionist Modernizing Doct…

A virtual medical receptionist named "Cassie," developed through research at Texas A&M University, is transforming the way patients interact with health care providers. Cassie is a digital-human assistant created by Humanate...

AI Detects Hidden Heart Disease Using Ex…

Mass General Brigham researchers have developed a new AI tool in collaboration with the United States Department of Veterans Affairs (VA) to probe through previously collected CT scans and identify...

AI Tool Set to Transform Characterisatio…

A multinational team of researchers, co-led by the Garvan Institute of Medical Research, has developed and tested a new AI tool to better characterise the diversity of individual cells within...

Human-AI Collectives Make the Most Accur…

Diagnostic errors are among the most serious problems in everyday medical practice. AI systems - especially large language models (LLMs) like ChatGPT-4, Gemini, or Claude 3 - offer new ways...

MHP-Net: A Revolutionary AI Model for Ac…

Liver cancer is the sixth most common cancer globally and a leading cause of cancer-related deaths. Accurate segmentation of liver tumors is a crucial step for the management of the...

Northern Ireland Completes Nationwide Ro…

Go-lives at Western and Southern health and social care trusts mean every pathology service is using the same laboratory information management system; improving efficiency and quality. An ambitious technology project to...