AI-assisted Fall Prevention Through Evidence

Recruiting now

Conditions studied: Fall

In brief

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.

Key facts

Study ID
NCT07503665
Run by
Halmstad University
People needed
23425
Starts
2026-01-01
Expected to finish
2028-12-01
Last updated by the study team
2026-03-31

Who can join

Age: 18 and older. Sex: any. Healthy volunteers: accepted.

You may qualify if…

You may not qualify if…

Where it is running

Full record on ClinicalTrials.gov

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