Kick-off: University Hospitals Dresden and Leipzig are starting the scaling of clinical AI-support AMPEL

The eHealthSax Kick-Off took place at Leipzig University Hospital on March 20 and 21. The two kick-off days marked the successful start for the project team “Made in Saxony: Scaling clinical AI support through AMPEL”. 

AMPEL is a digital infrastructure that enables clinical AI applications in routine care. It detects critical situations, analyzes data in real time and thus increases patient safety. Diagnosis and treatment are accelerated and complications reduced. 

The aim of the new research project is to transfer the AMPEL platform of Leipzig University Hospital to the University Hospital Carl Gustav Carus Dresden as a prototype and to test and further scale the integration of AI-supported decision support there.

In addition, the aim is to investigate whether and how future transfers to other hospitals can be made possible. The background to this is that the aim of the multi-center AMPEL team is to network with as many other departments and locations as possible, share experiences and at the same time integrate external innovations into the project.

The following key areas of work lie within the remit of Dresden University Medicine:

• Technical transfer of the AMPEL-CDSS to the Dresden University Hospital site
• Evaluation of the AMPEL-CDSS transfer options for rural and outpatient areas
• Development and retrospective validation of an ML model for the early detection of sepsis and investigation of the effect of the ML model on patient outcomes in the intensive care unit setting
• Conducting accompanying usability and acceptance evaluations and developing a user-centered training concept for the AMPEL system

University Medicine Dresden is strongly represented by a team from the ZMI - consisting of Prof. Dr. Martin Sedlmayr and Katja Hoffmann - the IMB's Usability & Technology Acceptance working group, which is represented by PD Dr. Brita Sedlmayr and Katharina Schuler, as well as Prof. Dr. Mario Menk, senior physician at the Clinic and Polyclinic for Anaesthesiology and Intensive Care at the UKD and head of the Chair of Data Science and Health Services Research in Anaesthesiology, and Sandra Waske. 

The next steps within the ambitious project were defined at the kick-off in intensive discussions with experts from various institutions. A particular focus will initially be on optimizing the AI models and integrating them into routine care as well as improving acceptance by clinicians.

The launch of an AMPEL website is planned for the coming months, which will provide comprehensive information on all project developments. 

Further information on the project can be found here: https://lnkd.in/gtEfziNt

The project is funded by the Saxon State Ministry for Social Affairs and Social Cohesion. This measure is co-financed with tax revenue on the basis of the budget approved by the Saxon state parliament.

© Freistaat Sachsen