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AI-assisted Fall Prevention Through Evidence

NCT07503665 · Status: RECRUITING · Type: OBSERVATIONAL · Enrollment: 23425

Last updated 2026-03-31

No results posted yet for this study

Summary

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.

Conditions

  • Fall

Interventions

OTHER

Not applicable- observational study

Not applicable- observational study

Sponsors & Collaborators

  • Halmstad University

    lead OTHER

Principal Investigators

  • Elin Siira, PhD · Halmstad University

Eligibility

Min Age
18 Years
Sex
ALL
Healthy Volunteers
Yes

Timeline & Regulatory

Start
2026-01-01
Primary Completion
2028-12-31
Completion
2028-12-31

Countries

  • Sweden

Study Locations

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Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT07503665 on ClinicalTrials.gov