Get Ahead of Vital Signs

See current hemodynamic trends and predicted risk of instability throughout the hospital

The FDA-cleared AHI System™ can continuously detect and predict hemodynamic instability ahead of vital signs.

Created to:

Reduce Nursing Burden

  • Know the evolving status of all patients
  • Better patient prioritization
  • Proactive versus reactive

Designed to:

Reduce Adverse Events

  • Early awareness
  • Increased vigilance
  • Early intervention

Built to:

Increase Throughput

  • High confidence in patient’s recovery
  • High confidence in appropriate level of care
  • Timely transfer decisions

The AI-driven AHI System extracts information embedded in a Lead II ECG signal alone – no manual or other inputs required!

Medical device software that includes two analytics that provide a comprehensive view of a patient’s evolving hemodynamic trajectory

Detect and trend hemodynamic status

Predict episodes of
hemodynamic instability

48 minutes lead time ahead of vital signs

Predicted 89% of first episodes of hemodynamic instability with a median lead-time of 48 minutes ahead of continuous arterial line blood pressure and heart rate vital signs.

AHI System on Multiple Devices

Fast implementation and easy adoption

  • First result in minutes with no baseline needed
  • Intuitive output means minimal training required
  • Anytime, anywhere access on wall monitors, computers, and mobile device browsers
  • Use standard ECG electrodes from bedside, telemetry or wearable patch to get real-time surveillance of adult patients across the hospital

AHI is the new standard for detecting and predicting hemodynamic instability. Contact us to learn more.

Thought this was really easy. User friendly. Normally we have in-services; I feel like if you missed that you'd be just fine.

Critical Care/RN



Nurses don’t have time to update patients' vitals and assessments every two minutes. This gives us a way to see that a patient is stable on a regular basis with easy access.

Step Down/RN



This tool can help determine where patients go [in the hospital] and how we should treat them, potentially changing admission flow, freeing up capacity and reducing length of stays.




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



It would help me assign patients to nurses, knowing where the “hot-spots” are, and guide me to maintain an equal workflow with my nurses.

Critical Care/Charge RN



Just install it and they would start to use it.

Critical Care/RN



Awards and Certifications