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NCT07078240

Examining Nurses' Trust and Acceptance of FAIR, an AI-powered Falls Risk Recommender

Not yet recruiting NA Last updated 22 July 2025
What this trial tests

NA trial testing Falls risk - Artificial Intelligence Recommender (FAIR) in Falls Risk in 60 participants. Not yet recruiting.

Timeline
1 January 2027
Primary endpoint
31 December 2027
30 June 2029

Quick facts

Lead sponsorTan Tock Seng Hospital
PhaseNA
StatusNot yet recruiting
Study typeINTERVENTIONAL
Allocationnon randomized
Designparallel
Maskingnone
Primary purposehealth services research
Enrollment60
Start date1 January 2027
Primary completion31 December 2027
Estimated completion30 June 2029

Drugs / interventions tested

Conditions studied

Sponsor

Tan Tock Seng Hospital

Who can join

Eligibility, any sex, with Falls Risk. Patients with the condition only — healthy volunteers not accepted.

Sponsor's own description

An exploratory mixed-method study will be conducted to test acceptance and trust of an AI-powered falls risk predictor system by inpatient hospital nurses

Publications & conference data

No peer-reviewed publications indexed yet for this trial.

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Other Tan Tock Seng Hospital trials

Trials by the same sponsor.

Verify against primary sources

Data sources for this page

Drug Landscape aggregates and links these public records for informational use only. Always verify against the primary source before clinical or regulatory decisions. Canonical URL: https://druglandscape.com/trial/NCT07078240.

Primary sources · FDA · ClinicalTrials.gov · EMA · SEC EDGAR · ChEMBL · Wikidata · full sourcing