In 2014, an ER department physician shared his frustration with the inability of traditional vital signs to detect and predict patient destabilization that can lead to crisis. That challenged our team of nurses, physicians, and scientists to put the power of advanced signal processing and clinician supervised machine learning to work to break the code of the autonomic nervous system.
The result was the AHI System – the only FDA-cleared clinical decision support device of its kind, predicting episodes of hemodynamic instability with clinically significant lead times, and giving care teams the time to plan and intervene to avoid a costly crisis, improve patient throughput and increase the overall effectiveness of telemetry monitoring.
AHI, or Analytic for Hemodynamic Instability, was developed using artificial intelligence to see Heart Rate Variability (HRV), part of the autonomic nervous system (ANS). Fifth Eye discovered how to measure and interpret HRV data flow and ECG morphology features, predicting the hemodynamic risk that leads to acute decline in clinical status. Traditional vitals like blood pressure and pulse rate are “lagging indicators”, unable to see hours or days into the future to identify patients who may be at risk from compromised compensatory systems.
AHI works on a single, noninvasive ECG lead II, displaying patient status updates every two minutes from anywhere in the hospital. There are no manual inputs, no new hardware and AHI is easy to adopt and use immediately.
AHI is making a difference in the lives of patients and clinical teams – getting ahead of vitals to help patients on the brink of crisis receive care sooner and enhancing throughput to downgrade or discharge stable patients sooner.
To learn more, visit FIFTHeye.com
The AHI System is intended for use by healthcare professionals managing patients 18 years or older who are receiving continuous physiological monitoring with electrocardiography (ECG) in hospitals.