Go Beyond Vital Signs

AHI Goes Beyond Vital Signs to Improve Quality, Safety, Confidence, and Cost.

Learn How AHI Improves:

Existing Data. New Insights.

Rapid ICU Transfer (within 4 hours) reduces mortality risk by 3.5x.*

So, if the ECG data was always there, why does it work now? Well, since ECG signals have better signal to noise ratio than other signals, we were able to develop novel techniques for signal processing and machine learning, along with new math techniques to perform complex pattern recognition on streaming data. That, combined with the ability of computers to now affordably and efficiently process large volumes of data, has allowed the development of AHI.

The ECG waveform provides data, AHI creates actionable knowledge. Think of AHI as your fifth vital sign.



AHI produces an indication of hemodynamic status 93 times more frequently than nurse validated vitals.


The time between hemodynamic status checks is reduced by 98.2% as compared to nurse validated vitals.

Be Proactive, NOT Reactive.

85% of severe adverse events are preceded by abnormal physiological signs which often include hemodynamic instability. Responding to early warning signs reduces mortality by 75%.*

Fifth Eye’s all-cause, real-time Analytic for Hemodynamic Instability (AHI) continuously monitors patient clinical trajectory, giving health providers a heads-up about impending trouble. Using only a single lead from an existing ECG, Fifth Eye provides first data within seven minutes with no baseline needed, minute-to-minute continuous patient assessment, real-time treatment feedback, and easy to interpret historical trends without the need for electronic health record inputs.


Born in a Hospital, Trained by Clinicians.

AHI is accurate. AHI identified 95% of all hemodynamic instability events where the patient experienced a combination of tachycardia and hypotension for a period of four minutes or more. It boasts an impressive 0.91 AUC, 96% Sensitivity and 85% Specificity in recognizing signs of hemodynamic instability.






Keeping Costs Down.

AHI helps reduce costs for hospitals and patients.
  • Identifying hemodynamic stability: 50% of all ICU patients experienced a delay in ICU discharge. Delayed discharge was associated with increased hospital length of stay.*
  • Identifying hemodynamic instability is important: Delayed transfer to ICU was strongly associated with increased mortality and cost. Responding to early warning signs reduces cost by 38%.**
  • AHI is easily implemented with only Lead II from your existing, continuous ECG monitor.

*Tiruvoipati, R., et al., Intensive care discharge delay is associated with increased hospital length of stay: A multicentre prospective observational study. PLoS One, 2017. 12(7): p. E0181827.

**Young, Michael P., Valerie J. Gooder, Karen McBride, Brent James, and Elliott S. Fisher. “Inpatient transfers to the intensive care unit.” Journal of general internal medicine 18, no. 2 (2003): 77-83.

Nurse burden equals hospital cost. In the 4 hours shown:
• Nurses record hemodynamic status manually 2 times.
• AHI records status automatically 120 times.

AHI Is The New Standard For Detecting Hemodynamic Instability. Contact Us To Learn More.

All I can say is wow! That is awesome.

Nurse Trainer

Yes, this is a game-changer. The industry absolutely needs a better detection system for hemodynamic instability.

Chief Medical Officer

This is an amazing breakthrough! I can see so many applications within the hospital. I would like to get you connected to our innovation center so that we could be involved in its development.

Chair, Vascular Surgery

The linkage of an early response team with this technology would have a very high likelihood of being associated with a significant survival benefit.

Chief Medical Officer

We have a couple of teams dabbling in "early warning" models but they have not distilled it down to a single ECG lead!

Chief Medical Officer

The key value proposition is in accurately predicting problems before they happen to aid in the recognition and rescue of the deteriorating patient…this makes it a novel next generation monitoring and predicting tool.

Critical care/ED MD