AI-assisted Fall Prevention Through Evidence
ConditionFall
Trial statusRecruiting
Trial phaseNot listed
Trial typeObservational
Biological sexAll
Age18+
SponsorHalmstad University
About this trial
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.
Eligibility criteria
Qualifiers
Be employed at one of the participating hospitals
Hold a role as a key stakeholder in the implementation work
Have experience with the implementation of the AI-assisted fall prevention
Have the ability to understand and communicate in Swedish
Disqualifiers
Be employed as a manager at one of the participating hospitals
Have experience with the implementation or use of the AI-assisted fall prevention
Have the ability to understand and communicate in Swedish
Be employed as staff on a ward at one of the participating hospitals where the AI-assisted fall prevention has been decided to be implemented
Trial design
Treatments tested in this trial
- Not applicable- observational study
Treatment groups
No treatment groups listed
Sponsors and collaborators
Source ClinicalTrials.gov