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.