New projects in the e-health field funded by the G-BA Innovation Fund in Germany

24

Jun 2022

On June 7, 2022, the Innovation Committee at the Federal Joint Committee (G-BA) published the overview of the 32 innovative healthcare research projects that will be funded, including those belonging to the eHealth technology group.

The overview of the examples of funded projects is provided below:

  • "Recommendation for Evidence-based Preoperative AI-controlled virtual Reduction and osteosynthesis of complex fractures (REPAIR)" project is aimed to support trauma surgeons with AI-based recommendations for the anatomical reposition and treatment of complex fractures of the extremities using implants. The applicant is Charité - University Medicine Berlin;
  • The aim of the project "Research of the implementation process of digital health applications and their effects in standard care (ImplementDiGA)" is the multi-method research of the implementation and healthcare process with digital health applications (DiGAs) from the perspective of patients, service providers and payers. For this purpose, reliable evidence on acceptance, usage/prescribing behavior, characteristics of DiGAs, DiGA users and prescribers, as well as health care effects and costs of DiGAs are expected to be generated. The applicant is the Dresden University of Technology;
  • "Integration of clinical and molecular data in precision oncology to develop a similarity-based algorithm for therapy recommendations (IntSim-Onko)" project is aimed to develop and validate an algorithm that could be used as a decision-making tool for individualized treatment of cancer patients considering clinical data, laboratory information, pathological reports and molecular characteristics of the tumor. The applicant is Charité - University Medicine Berlin;
  • "User-oriented requirement profile for AI-based clinical decision support systems using the example of sepsis care (KI@work)" project is aimed to develop indication-independent recommendations for action to remove implementation hurdles for AI-based Clinical Decision Support Systems (CDSS) in Germany and a user-oriented requirement profile for AI-based CDSS in sepsis care. The applicant is the University of Duisburg-Essen.

The full details in German can be found here.

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