The global shift towards value-based care and person-centered approaches is driving demand for advanced monitoring technologies that enhance patient outcomes and operational efficiency. Regulatory pressures for improved patient safety and dignity, coupled with a competitive landscape seeking differentiation through smart health solutions, make this non-invasive, high-accuracy urine detection system critical. It enables facilities to optimize staffing, reduce costs, and elevate care standards.
Improves Urine Volume Detection Accuracy by ~30%: A unique algorithm corrects errors caused by urine spread using the square root of the urination interval, enabling more accurate urine volume detection than conventional methods. This facilitates care at optimal times.
Non-Invasive and Highly Comfortable: The sensor is placed on the exterior of the diaper's urine-absorbing part, ensuring patient comfort and improving the quality of excretory care without compromising QOL.
Reduces Implementation Cost by ~20%: Easily applicable as an external sensor to existing diapers, eliminating the need for specialized diaper development or expensive equipment, which significantly reduces initial costs for adopting companies.
This patent protects a robust and stable right, having been granted after rigorous examination against four prior art documents. It establishes technical superiority through a unique compensation mechanism for capacitance changes in urine detection, specifically the method of dividing by the square root of the urination interval.
This patent primarily covers capacitance-based urine detection with a specific correction algorithm. White space exists in integrating this data with other vital sign monitoring systems or developing predictive analytics for broader health insights beyond immediate urination events.
Assuming 5 daily excretion checks and 2 diaper changes per patient in a care facility. Implementing this technology could reduce checks to 2 per day and optimize change timings, cutting annual care labor per patient by ~30%. For a facility with 100 caregivers and annual personnel costs of ~$3.3M (AI est.), a 30% reduction in labor costs could yield an estimated annual saving of ~$1M (AI est.).
X: Measurement Accuracy and Reliability
Y: Ease of Implementation and Versatility