AI-assisted Fall Prevention Through Evidence

NCT07503665 | Recruiting

• 1 other identifier: 2025-03701-01
• Study Type: observational
• Target: 23,425
• Locations: 1 country
• Sites: 1

Brief 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

Keywords

fall prevention; artificial intelligence; hospital; work; patient safety; resource use; implementation; effects

Outcome Measures

Primary Outcomes (1)

• Fall rate

  From earliest January 2025 to latest December 2028

Other Outcomes (4)

• NoMAD instrument

  Baseline, 12 months follow up, 24 months follow up

• COPSOQ III

  Baseline, 12 months follow up, 24 months follow up

• BAT

  Baseline, 12 months follow up, 24 months follow up

Interventions

Not applicable- observational study OTHER

Not applicable- observational study

Eligibility Criteria

• Age: 18 Years+
• Sex: all
• Healthy Volunteers: Yes
• Age Groups: Adult (18-64), Older Adult (65+)
• Sampling Method: Non-Probability Sample

Study Population

Key actors in the implementation, managers, staff, patients and patient representatives

You may qualify if:

• 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

You may not qualify if:

• \. Have insufficient proficiency in Swedish to participate in an interview or observation and to understand the purpose and content of the study
• Individual interviews with managers
• 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
• \. Have insufficient proficiency in Swedish to participate in an interview or observation and to understand the purpose and content of the study
• Individual interviews with staff
• 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
• Have experience with the implementation or use of the AI-assisted fall prevention
• Have the ability to understand and communicate in Swedish
• \. Have insufficient proficiency in Swedish to participate in an interview or observation and to understand the purpose and content of the study
• Observations of staff work
• 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
• Have experience with the implementation or use of the AI-assisted fall prevention
• Have the ability to understand and communicate in Swedish

Sponsors & Collaborators

• Halmstad University: lead

Study Sites (1)

Sahlgrenska Hospital

Gothenburg, Sweden

RECRUITING

Study Officials

• Elin Siira, PhD

  Halmstad University

  PRINCIPAL INVESTIGATOR

Central Study Contacts

Project leader

CONTACT

+46706924613; elin.siira@hh.se

Study Design

• Study Type: observational
• Observational Model: OTHER
• Time Perspective: OTHER
• Sponsor Type: OTHER
• Responsible Party: PRINCIPAL INVESTIGATOR
• PI Title: Project leader, PhD

Study Record Dates

• First Submitted: March 13, 2026
• First Posted: March 31, 2026
• Study Start: January 1, 2026
• Primary Completion (Estimated): December 1, 2028
• Study Completion (Estimated): December 1, 2028
• Last Updated: March 31, 2026

Record last verified: 2026-03

Locations

SE (1)