Digital Intelligent Assistant for Nursing Application

Study Results

Results pending

The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.

Basic Information

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Recruitment Status

UNKNOWN

Total Enrollment

25 participants

Study Classification

OBSERVATIONAL

Study Start Date

2021-05-01

Study Completion Date

2023-07-31

Brief Summary

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This is an observational study that intends to compare falls or fall-risk related alarms derived from a three-dimensional sensor system with the clinical reality definded by attending nurses.

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Detailed Description

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Three dimensional sensor technology (3DS) is available for fall detection and fall prevention (e.g. unwanted getting up in persons with risks for frequent falls) in several institutions in Europe and Switzerland. 3DS are capable to analyze completely anonymized data and alert nurses towards a dangerous (fall) or potentially dangerous (getting out of bed) event during day- and nighttime. Multi-sensor technology has been applied to assess activities of daily living in persons cognitive problems living at home. To our knowledge, 3DS technology has not been examined as part of a structured clinical protocol. In addition, the combination of two digital technologies (3DS and a server based software) as an integrative platform could help to develop algorithms to analyze complex human activities such as using a toilet. Automated analyses of such complex activities have the potential to support nursing staff in the future.

Conditions

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Frailty Syndrome Fall in Nursing Home Dementia Delirium in Old Age Incontinence, Urinary Incontinence Bowel

Study Design

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Observational Model Type

COHORT

Study Time Perspective

PROSPECTIVE

Interventions

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Three dimensional sensor system designed for fall detection (Fearless)

Detection of falls in nursing home residents and acute geriatric hospital patiients

Intervention Type DEVICE

Eligibility Criteria

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Inclusion Criteria

* with or without cognitive decline for any reason
* with acute and/or chronic conditions
* after any kind of surgery

Exclusion Criteria

1. For Falls assessment by 3D sensors:

2. For the development of toileting algorithm:

* severe urine or fecal incontinence
* permanent indwelling urinary catheter
* permanent urinary or bowel stoma

Minimum Eligible Age

75 Years

Eligible Sex

ALL

Accepts Healthy Volunteers

No