KISIK

Intention

The management of intensive care units has a significant influence on the recovery of critically ill patients, but the capacities of these units are very limited due to the high care and staffing requirements. These basic framework conditions are complicated by unpredictable registrations of emergency patients and an uncertain length of stay.

KISIK is a joint project funded by the Federal Ministry of Education and Research, which is being carried out together with Augsburg University Hospital and XITASO. The overall aim of the project is to develop AI-based algorithms to support decision-making in the management of intensive care capacities, for example by predicting lengths of stay. In addition, the applicability, acceptance and effectiveness of the digital decision support system in hospital operations will be investigated. In particular, this should optimize the utilization of the intensive care unit and reduce the number of operations postponed at short notice and premature transfers.

The Chair of Health Care Operations / Health Information Management is investigating and evaluating the use of AI-based forecasting and optimization methods for use in intensive care medicine, using methods from the field of operations research/management science and analytics in particular. Augsburg University Hospital is carrying out a comprehensive validation of the AI-based forecasting and optimization methods and testing their applicability, acceptance and effectiveness for practical use in intensive care medicine. This is being done with the help of an innovative, intuitive and interoperable demonstrator for the dynamic control of an intensive care unit, the user-centered development of which is being carried out by XITASO.

The project is funded by the Federal Ministry of Education and Research (BMBF).

Key partners in the project are Prof. Dr. Axel Heller(Augsburg University Hospital), Dr. Thomas Geislinger (XITASO) and the Center for Interdisciplinary Health Research (University of Augsburg).