Clinical Trials Directory

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UnknownNCT04393272

Digital Intelligent Assistant for Nursing Application

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

Status
Unknown
Phase
Study type
Observational
Enrollment
25 (estimated)
Sponsor
Geriatrische Klinik St. Gallen · Academic / Other
Sex
All
Age
75 Years
Healthy volunteers
Not accepted

Summary

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

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

Interventions

TypeNameDescription
DEVICEThree dimensional sensor system designed for fall detection (Fearless)Detection of falls in nursing home residents and acute geriatric hospital patiients

Timeline

Start date
2021-05-01
Primary completion
2023-04-30
Completion
2023-07-31
First posted
2020-05-19
Last updated
2022-08-25

Locations

1 site across 1 country: Switzerland

Source: ClinicalTrials.gov record NCT04393272. Inclusion in this directory is not an endorsement.