Digital Intelligent Assistant for Nursing Application

Study Overview
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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.

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.

Official Title
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Digital Intelligent Assistant for Nursing Application Evaluation of 3-Dimensional Sensor Technology in Long Term Care and Acute Geriatrics. A Single Center Observational Study

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

Intervention / Treatment
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* Device: Three dimensional sensor system designed for fall detection (Fearless)


Participation Criteria
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Eligibility Criteria
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Inclusion criteria Informed consent given by person or caregiver Patients admitted with or without cognitive decline for any reason with acute and/or chronic conditions after any kind of surgery Exclusion Criteria: For Falls assessment by 3D sensors: • Based on the multifactorial risk for falls there are no exclusion criteria for falls assessment For the development of toileting algorithm: severe urine or fecal incontinence permanent indwelling urinary catheter permanent urinary or bowel stoma

Ages Eligible for Study
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Minimum Age: 75 Years

Sexes Eligible for Study
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All

Accepts Healthy Volunteers
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No

Study Plan
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How is the study designed?
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Arms and Interventions

| Intervention/Treatment |
| --- |
|Device: Three dimensional sensor system designed for fall detection (Fearless)|Detection of falls in nursing home residents and acute geriatric hospital patiients|

What is the study measuring?
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Primary Outcome Measures

| Outcome Measure | Measure Description | Time Frame |
| --- | --- | --- |
| Falls detection rate | Number of falls detected by the system compared to falls detected by nursing staff members | Through study completion, an average of 6 months | 

 Terms related to the study
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Keywords Provided by Centre Hospitalier Valida
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3D sensors, falls detection, toileting algorithm