In order to maintain care in hospitals, it is necessary to have sufficient nursing staff available. However, nursing staff planning is a complex and time-consuming process for personnel planners. The main challenges here are the shortage of nursing staff, which is expected to worsen in the coming years due to demographic change, as well as the time-consuming documentation required by legal regulations such as the so called ‘Nursing Staff Lower Limits Ordinance’ (PpUGV).
The project aims to develop intelligent software for the needs-based planning and management of nursing staff deployment – the KISPP tool. XITASO will contribute and further expand its expertise in the areas of data science, software engineering and UI/UX. Together with our partners, we want to make the nursing profession more attractive in the long term and thus tackle an important social challenge.
In cooperation with the University Hospital of Augsburg and the Chair for Health Care Operations and Health Information Management at the University of Augsburg, XITASO will be investigating the needs-based distribution of the nursing workload in the coming years. In our research, we are combining AI-based forecasts of future care requirements with AI-supported rescheduling in the event of special incidents, thereby significantly reducing the overload in hospitals.
Simultaneously, we are developing a new system to improve decision making on capacities in the different nursing wards by e.g. predicting patients’ length of stay. This system, the so-called KISPP-Tool (AI control for customized nursing staff planning and registration), should therefore provide two central competencies:
Alongside compliance with current (PpUGV) and future statutory regulations, the aim of the tool is to distribute nursing workloads in line with requirements, to deploy nursing staff effectively and efficiently and to avoid overload situations at an early stage through intelligent planning support.
University of Augsburg
The University of Augsburg (Prof. Brunner and Prof. Schiffels) are addressing, in research and teaching, the planning and analysis of strategic and operative service provision processes in the healthcare sector, amongst others. Modeling, analyzing, and optimizing of practice relevant problem statements through quantitative processes are the focus. Central questions address the process, resources, quality, and information management. The University of Augsburg’s task in the project is particularly the contribution of their expertise in the areas of machine learning and optimization.
Augsburg University Hospital
Augsburg University Hospital is the only maximum-care hospital in Bavarian Swabia and one of the largest hospitals in Germany with around 1750 beds. Around 2500 employees work there in the field of nursing care, which has to be planned and managed. The UKA is a practice partner in the project and thus establishes the link to the clinical setting. The task of the UKA in the project is in particular to communicate the framework conditions and the requirements regarding nursing staff planning at the UHA.
Bavarian Ministry of Economic Affairs, Regional Development and Energy
Lifescienc funding line of the Bavarian Collaborative Research Program (BayVFP)
Bayern Innovativ GmbH;
Bayerische Gesellschaft für Innovation und Wissenstransfer mbH
With research and innovation projects, we explore the potential of tomorrow’s technologies. For this purpose, we are always looking for committed colleagues who would like to continue and shape the XITASO path with us.
Dr. Jan-Philipp Steghöfer
Tel. +49 821 885882-374
jan-philipp.steghoefer@xitaso.com