RISK PRINCIPE

Project Name: RISK Prediction for Risk-stratified INfection Control and PrEvention

Project Category: use case of the Medical Informatics Initiative

Heads of Project:

• Prof. Dr. med. Simone Scheithauer (University Medical Center Göttingen)
• Prof. Dr. med. Mathias Pletz (Jena University Hospital)
• Prof. Dr. André Scherag (Jena University Hospital)
• Prof. Dr. med Dr.-Ing. Michael Marschollek (Hanover Medical School)

Duration and Status: 1.7.2023 – 30.6.2027, ongoing data use

Data Types Provided: microbiological diagnostic reports etc.

Abstract:
RISK PRINCIPE aims to develop and validate automated data collection for surveillance purposes and routine data-based risk prediction using the example of bloodstream infections with subsequent visualization for more effective and efficient infection prevention and control. RISK PRINCIPE can improve the quality of patient care by helping to identify high-risk areas and patients, reducing the time required for surveillance and increasing responsiveness. This will be tested using hospital onset bacteremia (HOBs) as an example. To achieve this goal, different data sources will be evaluated to create a risk profile, which will then be tested.

Funding:
This project is funded by the German Federal Ministry of Education and Research (BMBF) as part of the Medical Informatics Initiative (MII) under the funding code (FKZ), here site-specific FKZ: 01ZZ2323B.

Link: project description at the website of the Medical Informatics Initiative