TerminatedNot Applicable

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

Stopped: The robot had technical problems which couldn't be fixed and the study could not begin.

United States40 participantsStarted 2025-07-31

Plain-language summary

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.

Who can participate

Age range65 Years

SexALL

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AI-rewrites the medical criteria so a patient or caregiver can understand them. Always confirm with the trial site.

Inclusion Criteria: * Nursing home resident living with dementia Exclusion Criteria: * 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

What they're measuring

Feasibility of a robot to detect falls in a nursing home

Timeframe: during three months

Trial details

NCT IDNCT07451223

SponsorVigorous Mind, Inc.

Sponsor typeINDUSTRY

Study typeOBSERVATIONAL

Primary completion2025-07-31

View on ClinicalTrials.gov More Fall in Nursing Home trials