Effectiveness of the AI-Supporter in Reducing Urinary Tract Infections
Trial statusRecruiting
Trial phaseNot applicable
Trial typeInterventional
Biological sexFemale
Age20+
SponsorChina Medical University Hospital
About this trial
The "AI Supporter," an intelligent excretion management robot, leverages artificial intelligence-based vision recognition to autonomously detect and cleanse affected areas, followed by drying and changing the diaper, thereby reducing caregiver strain and enhancing care quality. This study aims to assess the efficacy of the "AI Supporter" in decreasing the incidence of urinary tract infections and incontinence-associated dermatitis among incontinent patients, in addition to exploring its cost-effectiveness.
Adopting an experimental (two groups) and longitudinal design, this research utilizes both convenience and random sampling strategies. The study anticipates recruiting 60 female subjects who have been confined to bed for more than three months with urinary and/or fecal incontinence. Participants will intermittently use the AI Supporter over a 14-day period. Measurement tools include routine urine analysis.
Eligibility criteria
This trial does not accept healthy volunteersQualifiers
Participants must have been bedridden for at least 3 months and have urinary and/or fecal incontinence.
Female participants aged over 20 years old.
Participants must be capable of wearing the AI-supporter device during the study period.
Disqualifiers
Participants with severe skin conditions unrelated to incontinence.
Participants with current urinary tract infections or incontinence-associated dermatitis at the time of enrollment.
Participants who are unable to provide informed consent or have a legal representative to do so.
Trial design
Design model
Parallel
Treatments tested in this trial
AI-supporter
Devicerticipants in the experimental group will use the AI-supporter, an intelligent excretion management robot. This device utilizes AI-driven visual recognition technology to automatically detect urine and feces, followed by a cleaning and drying process. When the AI-supporter detects excretion, it activates an automated sequence that washes, dries, and sanitizes the perineal area without requiring the caregiver to remove the diaper. The AI-supporter also records relevant data, such as the time, frequency, and weight of excretion, for further analysis. This intervention is designed to reduce the incidence of urinary tract infections (UTIs) and incontinence-associated dermatitis (IAD), as well as lessen the workload for caregivers
Treatment groups
60 Participants
are divided into 2 treatment groupsGroup A: AI-supporterExperimental treatment 1 intervention
Group B: Traditional DiapersNo intervention 0 interventions
Trial outcomes
Primary outcomes
1
white blood cells
urine analysis
Time frame
14 days after intervention2
Bacterial count
urine analysis
Time frame
14 days after interventionSponsors and contacts
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Source ClinicalTrials.gov