ANALYTICS

The AHI System leverages two analytics to provide unprecedented visibility into the hemodynamic status, trends and future risks of instability in adult patients.

AHI provides a continuously updated current hemodynamic status in a visual time-trend.

AHI-PI predicts the likelihood of a future episode of hemodynamic instability with high, moderate, and low risk indicators, updated every 2 minutes.

Accurate. All-cause. Real-time Surveillance Monitoring of Hemodynamic Status

AHI provides a continuously updated current hemodynamic status in a visual time-trend.

  • The Analytic for Hemodynamic Instability (AHI) is a machine-learning based artificial intelligence analytic that can detect hemodynamic instability using sophisticated real- time pattern analysis of a continuous streaming ECG waveform without the need to input blood pressure measurements.
  • Granted FDA De Novo status, AHI can detect subtle physiological changes indicative of hemodynamic instability that may occur prior to changes in vital signs, raising awareness of potential patient deterioration in time for clinical action.
  • An accurate, continuous, non-invasive hemodynamic status monitoring tool, AHI demonstrated 96% sensitivity and 85% specificity when compared to windows of out-of-range continuous vital signs in a clinical trial on critical care patients.
  • On a per-patient basis, AHI demonstrated a median false negative rate of 1.5% (98.5% sensitivity) and median false positive rate of 4.6% (95.4% specificity).
  • AHI identified 95% of all hemodynamic instability events where the patient experienced a combination of tachycardia and hypotension for a period of 4+ minutes (N=1,097 events)
  • Easy-to-interpret red/green outputs go beyond vital signs to empower clinicians with better information while reducing the surveillance burden on the nursing staff.

AHI System predicted 89% of first episodes of hemodynamic instability with a median lead-time of 48 minutes ahead of continuous vital signs

Getting ahead of emerging clinical deterioration is important for avoiding adverse events, improving outcomes, and streamlining hospital operations.

AHI-PI predicts the likelihood of a future episode of hemodynamic instability with high, moderate, and low risk indicators, updated every 2 minutes.

  • FDA 510(k)-cleared AHI-PI provides physiological insight into a patient’s likelihood of a future episode of 10 or more continuous minutes of hemodynamic instability.
  • Patients with a red AHI-PI HIgh Risk Indicator are 51x more likely to have an episode of hemodynamic instability in the next hour than those with a green AHI-PI Low Risk Indicator.

In a clinical study of critical care patients, 52% of all patients had an episode of hemodynamic instability. Of those patients who had an episode of HI, AHI-PI High Risk predicted the episode in 89% of the cases, with a median lead-time of 48 minutes ahead of vital signs.

AHI and AHI-PI provide NEW information to support good, timely clinical decisions for efficient, high-quality care.

These novel analytics measure real-time hemodynamic status and identify emerging and increased risk of future hemodynamic instability.

AHI is the new standard for detecting 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.

Administrator

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