FIZE Medical's FIZE kUO platform utilizes AI-driven continuous monitoring to provide real-time urine output data, enhancing the precision of kidney function assessment in critically ill patients. This technology addresses the challenge of delayed diagnosis in acute kidney injury (AKI) by enabling timely interventions based on accurate, actionable metrics.
Funding
$14M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
RCFounders
Product
Problem
In critical care settings, delayed diagnosis of acute kidney injury (AKI) due to infrequent and manual urine output measurements can lead to delayed interventions and adverse patient outcomes. Traditional methods lack the precision needed for early detection of kidney dysfunction, especially in patients requiring meticulous fluid management. The current standard of care often relies on intermittent manual measurements, which are prone to errors and do not provide a continuous view of kidney function.
Solution
FIZE Medical offers the FIZE kUO platform, an AI-powered continuous monitoring system that provides real-time urine output data, enabling clinicians to enhance the precision of kidney function assessment. The platform delivers minute-by-minute data, allowing for timely interventions and improved patient management. By automating urine output measurement, the FIZE kUO platform eliminates manual processes, reduces nursing time, and provides clinicians with actionable data at their fingertips. The system monitors urine output as soon as it enters the bladder and uploads data automatically to the EMR system.
Target Audience
The primary target audience includes clinicians in critical care settings, including intensive care units (ICUs) and pediatric ICUs (PICUs), as well as hospital networks focused on improving patient outcomes and reducing hospital-acquired AKI.
Features
- Real-time, continuous urine output monitoring for early detection of kidney dysfunction
- AI-driven algorithms that analyze data for signs of kidney dysfunction
- Automated data uploads to EMR systems
- Streamlined catheter management
- Enhanced CAUTI management
- Integration of urine analysis within the bedside monitor
- Predictive alerts for potential fluid imbalances