ProKIP: Process Development and Support for the Use of AI in Nursing Care
Artificial intelligence (AI) methods are increasingly being used to support nursing care, reduce the workload of nursing professionals, and improve the quality of care. However, the integration of AI into nursing care faces a number of challenges, including significant variations in the level of digitalization across care facilities, limited availability of representative and high-quality data outside hospital settings, a lack of operationalized nursing processes and explicit nursing knowledge, as well as the often formal rather than active involvement of nursing practice and nursing science. Given the high workload in everyday nursing care, it is often difficult to engage care facilities and nursing professionals in AI projects and to collaborate successfully with them throughout the project lifecycle.
The ProKIP project addressed these challenges. Led by the University of Bremen, ProKIP advised and connected research projects on the use of AI in nursing care across Germany. In doing so, it created both a knowledge base on nursing care and AI and a nationwide network for AI in nursing care that also enables peer support.
As part of the project, the publicly accessible AI Nursing Readiness Assessment (KIP-RA) was developed. This tool provides guidance and support for AI projects in nursing care, covering everything from resource planning and project monitoring to evaluation and cross-project comparison. The KIP-RA addresses topics such as the benefits of AI systems in nursing care, the representativeness of data used, approaches to data sharing, the design of participatory processes, and the ethical and professional implications of AI deployment in nursing practice.
The KIP-RA supports stakeholders from both research and nursing practice in the planning, implementation, and evaluation of their projects. By making collective experience from a wide range of AI projects in nursing care accessible, ProKIP highlights transferable good practices and promotes the successful integration of AI solutions into nursing practice.
Consortium Lead:
University of Bremen
Consortium Partners:
- Charité – Universitätsmedizin Berlin
- Berliner Hochschule für Technik
- Verband für Digitalisierung in der Sozialwirtschaft e.V., Halle (Saale)
- Alexander von Humboldt Institute for Internet and Society (HIIG), Berlin
The project is funded by the Federal Ministry for Research, Technology and Space (BMFTR).