RISK Principe – Risk prediction for infection control and treatment in hospitals
CDS members associated with the project
Hospital-associated infections (HAIs), including hospital-onset bacteremia (HOB), place an enormous burden on affected patients, medical staff, and the society as a whole. This long-standing and globally increasing problem is also referred to as an insidious pandemic. The prevention of HAIs is an important patient safety issue and is firmly anchored in patient safety solutions. Risk-based interventions require standardized and structured data, knowledge, and evidence. Therefore, experts can benefit from a computerized risk assessment based on standardized and integrated data analysis from various sources and presented in a machine-readable format.
The RISK PRINCIPE project focuses on nosocomial bacteremia (HOB). Based on the interoperable data, algorithms, tools, and system components are being developed, which are combined with expertise in the field of infection control. The aim is to create a reporting and monitoring app as well as a warning app for risk prediction. RISK PRINCIPE draws on the expertise of various disciplines and uses the results of infection cases from the German Medical Informatics Initiative (MII) (HiGHmed, SMITH). By merging the data models of the Medical Data Integration Centers, convergence to the MII core dataset and its extensions, especially in the field of microbiology, is promoted and contributed to the interoperability working group. The expertise of all MII consortia will be included, as stated in letters of endorsement (DIFUTURE, HiGHmed, MIRACUM, SMITH).
Sustainability and transferability of the developed solutions are guiding principles. The joint outcome will bridge the gap between individual risk assessment, HOB, and general infection control measures by providing a timely and robust system that meets the needs of users. In summary, the aim of RISK PRINCIPE is to develop and implement automated surveillance and data-based risk prediction of HOB, including visualization. Thus, the central focus is on effective and efficient infection prevention.