Evaluating the AI-Supporter Robot to Reduce Urinary Tract Infections, Skin Problems, and Caregiver Burden in Women with Incontinence

What this Trial Is About

Researchers are evaluating the effectiveness of the AI Supporter, an intelligent robot designed to manage excretion for incontinent patients. This study focuses on female patients who have been bedridden for more than three months and have urinary andor fecal incontinence. The goal is to determine if using this AI-driven device can reduce the rates of urinary tract infections and incontinence-associated dermatitis while also exploring cost savings and caregiver burden reduction. The AI Supporter uses artificial intelligence-based vision recognition to detect urine and feces autonomously, then cleanses, dries, and changes the diaper without the need for caregiver intervention. Participants are randomly assigned to either the AI Supporter group or the traditional diaper care group. The intervention lasts for 14 days during which participants intermittently use the AI Supporter. Data such as excretion timing, frequency, and weight are recorded for analysis. During the study, participants will undergo routine urine analysis and assessments of incontinence-associated dermatitis, pressure sores, and skin pH. Researchers will also track caregiver hours and costs related to both diapers and the AI Supporter device. The primary outcomes measured are white blood cell count and bacterial count in urine 14 days after intervention. The study is conducted under single masking and uses statistical methods to evaluate outcomes with significance set at p < 0.05.

Effectiveness of the AI-Supporter in Reducing Urinary Tract Infections