Background

The increasing use of AI-based fall monitoring systems in nursing care raises not only clinical but also economic questions. In particular, it remains unclear to what extent such systems lead to cost savings or additional expenditures compared with existing care practices (“Care as Usual”). The aim of this thesis is to systematically analyse the expected cost effects of AI-based fall monitoring and compare them with standard care in order to provide a sound basis for decision-making regarding the use of digital solutions in nursing care.