We bring together the expertise of medical professionals and high-tech specialists to create ideal framework conditions for promising medical research.

The EKFZ for Digital Health supports Interdisciplinary Innovation Projects (IIPs). IIP funds are institutional seed funds designed to quickly build new collaborations and test new ideas. IIPs support the road to a “proof-of-concept” that allows these teams to go on to acquire third-party or industry funds to translate their ideas into clinical practice.

  • IIP_MedTech: Interdisciplinary Innovation Projects on digital health technologies to address a medical need deal with novel digital health technologies in the field of robotics & co-working, sensors, implants & devices and connected care and support teams of physicians and high-tech specialists.
  • IIP_Social: Interdisciplinary Innovation Projects on societal impact of digital health technologies support ideas with a focus on the humanities and social sciences in order to develop the topic of digital health in a holistic way.
  • IIP_Economic: Interdisciplinary Innovation Projects addressing health economic aspects of digital health technologies contribute to a successful implementation of new digital health technologies into routine care. They consider topics such as demand orientation, user-centricity and added-value of digital health solutions.


The EKFZ functions as an accelerator for the local eHealth network. To make digital health work and to strive for excellence, we need to overcome the traditional boundaries of medicine, engineering and computer science and establish a new structured research interdisciplinarity. With regular symposia, multiplier and public events and workshops the EKFZ strengthens the eHealth network in Dresden and Saxony. This contributes to a lively and interactive eHealth network on the Dresden campus.

Joint Projects


Enhanced cybersecurity for networked medical devices through optimisation of guidelines, standards, risk management and security by design


Decentralized AI for diag-nosis, prognostication and response prediction in CRC


Artificial intelligence to help optimize ventilation of intensive care patients.


Artificial Intelligence assisted certification of medical software


Open Source Swarm Learning to Empower Medical AI


Personal Mastery Health & Wellness Data


Secure Medical Microsystems and Communications

Transform Liver

Scaling up Vision Transformers for Biomarkers in Liver Disease


AI-based end-to-end prediction of cancer immunotherapy response

For more information about the procurement of the EKFZ for Digital Health click the link below.

Skip to content