Renal function monitoring

In the ICU, time is of the essence.

Especially for patients at risk of Acute Kidney Injury (AKI).
Renal function monitoring is critical for early detection of changes and prevention of disease progression.

Renal function monitoring

In the ICU, time is of the essence.

In particular, for patients at risk of Acute Kidney Injury (AKI).
Early detection of changes in renal function is critical for preventing disease progression.
That’s where real-time monitoring of urine flow can make all the difference…

Clarity RMS™ is a renal function monitoring system that continuously measures urine flow, automatically transmitting real-time data, and notifications of fluctuations, on a 24/7 basis. This information provides an early sign of AKI risk and facilitates rapid intervention. In addition, it is invaluable for monitoring treatment efficacy and managing fluid balance.

Real-time data: from bedside to clinicians

Renal function monitoring

Automatic
Measurements

No manual intervention; Reduced risk of contamination; Not subject to human error

Renal function monitoring

Reliable
Data

Accurate, direct readings of actual urine flow at catheter entry point

Renal function monitoring

Full
Connectivity

Continuous transmission of
the data to all hospital
information systems

Renal function monitoring

Real-Time
Notifications

Notifies medical staff of
suboptimal urine flow rate,
based on the RIFLE, AKIN,
and KDIGO criteria

The Impact of ICU-Acquired AKI

57%
of ICU patients
develop AKI

Mortality rate
is increased
5-foldin ICU patients
with AKI

Renal Function Monitoring with the Clarity RMS

Renal function monitoring

Better Medical Care

  • Early detection of changes in renal function and AKI risk
  • Early intervention to prevent disease progression
  • Real-time monitoring of treatment efficacy & fluid management

Renal function monitoring

Better ICU Economics

  • Reduced length of ICU stay & readmissions
  • Reduced ICU costs
  • Improved ICU efficiency & performance

This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement no 882261.