The goal of this multi-method study is to investigate how AI-assisted fall-prevention are implemented in routine hospital care what their effects are. The main questions it aims to answer are how these AI systems influence patient safety outcomes, how they affect healthcare professionals work and healthcare resource use, and what factors support or hinder their sustainable integration into hospital environments.
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AI-rewrites the medical criteria so a patient or caregiver can understand them. Always confirm with the trial site.
Fall rate
Timeframe: From earliest January 2025 to latest December 2028