Patient-Ventilator Asynchrony Detection
35% experience asynchrony
Asynchrony is associated with
5x increase in ICU mortality
3x increase in mechanical ventilation time
2x increase in hospital length of stay
Detection is tedious, imprecise, time-consuming
Syncron-E™ is a machine learning-based technology, which performs real-time analysis of flow and pressure waveforms currently available from mechanical ventilators to detect various types of patient-ventilator asynchrony.
Closed-Loop Fluid Management
40% of patients experience fluid overload
Fluid overload is associated with
70% (2.6 days) increase in ICU length of stay
43% (3.5 days) increase in hospital length of stay
closed-loop automated resuscitation controller (clarc)™
CLARC™ is an automated fluid management system. The system can operate in two modes: i) fully-automated (closed-loop) mode; and ii) clinical decision support mode.
Note: Autonomous Healthcare’s technologies are for investigational use only and are not FDA approved.