Autonomous Navigating Robot for Detecting Falls and Risk of Falls in Nursing Home Residents With Alzheimer Disease/ADRD - Feasibility Study

Stopped early

Conditions studied: Fall in Nursing Home

In brief

This study is a feasibility study to prove that an autonomously navigating robot can patrol nursing home rooms day and night and detect if a resident has fallen, turn on ambient light at night and a video camera and allow nursing staff to view and assess the situation through the robot video camera and communicate with the resident through the robot screen.

Key facts

Study ID

NCT07451223

Run by

Vigorous Mind, Inc.

People needed

40

Starts

2025-07-31

Expected to finish

2025-08-31

Last updated by the study team

2026-03-05

Who can join

Age: 65 and older. Sex: any. Healthy volunteers: not accepted.

You may qualify if…

• Nursing home resident living with dementia

You may not qualify if…

• Residents on isolation precautions (e.g. Clostridoides difficile, COVID 19, MRSA)
• Actively dying resident
• Resident and/or family decline
• Functional or structural quadriplegia with inability to mobilize with little to no risk of falling
• Residents become agitated when the robot engages with them

Where it is running

• Steere House Nursing & Rehabilitation Center — Providence, Rhode Island, United States

Full record on ClinicalTrials.gov

Trial information comes from ClinicalTrials.gov and is refreshed daily. TrialsForMe does not provide medical care and does not run the studies it lists.