Risk Principe (Risk-stratified INfection Control and PrEvention)
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The aim of the RISK Prediction for Risk-stratified INfection Control and PrEvention (Risk Principe) project is automated surveillance and data-driven risk analysis & prediction with the endpoint of individualized, risk-stratified infection control and prevention.
Implementation of the newly created prediction models & visualization in an interoperable application (extension of SmICS “Smart Infection Control System”) that reuses the routine data sets of the Medical Data Integration Centers (MeDICs) at each participating site.
Development of an application that uses standardized interfaces for data access and is based on standardized and agreed interoperable data models (MII core dataset).
Main tasks of the institute:
Requirements analysis for medical microbiology and identification of primary sources at DIC sites
Implementation of a specific prediction model
Support of the roll-out process
Projektlaufzeit: 01.07.2023-30.06.2027
