Digital Intelligent Assistant for Nursing Application (DIANA)
Digital Intelligent Assistant for Nursing Application Evaluation of 3-Dimensional Sensor Technology in Long Term Care and Acute Geriatrics. A Single Center Observational Study
Study Overview
Status
Status
Conditions
Conditions
Intervention / Treatment
Intervention / Treatment
Detailed Description
Study Type
Study Type
Enrollment (Anticipated)
Enrollment
Contacts and Locations
Study Contact
Study Contact
- Name: Thomas Münzer, MD
- Phone Number: +41712438880
- Email: thomas.muenzer@geriatrie-sg.ch
Study Locations
-
-
SG
-
Sankt Gallen, SG, Switzerland, 9000
- Recruiting
- Geriatrische Klinik
-
Contact:
- Thomas Münzer, MD
- Phone Number: +41712438880
- Email: thomas.muenzer@geriatrie-sg.ch
-
-
Participation Criteria
Eligibility Criteria
Eligibility Criteria
Ages Eligible for Study
Accepts Healthy Volunteers
Genders Eligible for Study
Sampling Method
Study Population
Description
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
Study Plan
How is the study designed?
Design Details
What is the study measuring?
Primary Outcome Measures
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Falls detection rate
Time Frame: Through study completion, an average of 6 months
|
Number of falls detected by the system compared to falls detected by nursing staff members
|
Through study completion, an average of 6 months
|
Other Outcome Measures
Other Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Assessment of toileting
Time Frame: Through study completion, an average of 6 months
|
3d sensor system data will be used to develop an algorithm for a complex activity such as using a toilet.
The senors results will be compared with a Nurse led 12 step observation protocol.
Parts of the activity model include: (1) enter the room, (2) go to the toilet, (3) take off clothes, (4) sit on the toilet, (5) clean oneself, (6) stand up, (7) get dressed, (8) flush the toilet, (9) go to the sink, (10) wash hands, (11) dry hands, (12) leave the room, as well as emergencies.
|
Through study completion, an average of 6 months
|
Collaborators and Investigators
Sponsor
Sponsor
Study record dates
Study Major Dates
Study Start (ACTUAL)
Study Start
Primary Completion (ANTICIPATED)
Primary Completion
Study Completion (ANTICIPATED)
Study Completion
Study Registration Dates
First Submitted
First Submitted
First Submitted That Met QC Criteria
First Submitted That Met QC Criteria
First Posted (ACTUAL)
First Posted
Study Record Updates
Last Update Posted (ACTUAL)
Last Update Posted
Last Update Submitted That Met QC Criteria
Last Update Submitted That Met QC Criteria
Last Verified
Last Verified
More Information
Terms related to this study
Keywords
Additional Relevant MeSH Terms
- Behavioral Symptoms
- Mental Disorders
- Digestive System Diseases
- Pathologic Processes
- Urologic Diseases
- Lower Urinary Tract Symptoms
- Urological Manifestations
- Gastrointestinal Diseases
- Urination Disorders
- Intestinal Diseases
- Rectal Diseases
- Elimination Disorders
- Urinary Incontinence
- Frailty
- Enuresis
- Fecal Incontinence
Other Study ID Numbers
Other Study ID Numbers
- BASEC 20-00904
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
Studies a U.S. FDA-regulated device product
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