AirStrip® AHI

The AirStrip Analytic for Hemodynamic Instability (AHI), is an FDA cleared AI powered patient monitoring solution that identifies patient compensation and predicts hemodynamic instability ahead of vital signs.

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Identify Patients at Risk Ahead of Vital Signs

Collect

Physiologic data from non-invasive, continuous ECG signals

Convert

Data to hemodynamic status

Predict

The likelihood of future episodes of hemodynamic instability, updated every 2 minutes

Display

Data on a multi-patient dashboard with trends and color-coded risk indicators

Created by Clinicians, for Clinicians

AirStrip AHI was created by a multidisciplinary team of clinicians, data scientists, and computer scientists to equip healthcare providers with critical insights for prioritizing patients who are most likely to require timely intervention.

Which patients require increased vigilance?

  • Is this patient deteriorating? What might be causing signs of hemodynamic instability? Do they need extra vigilance?
  • Are AHI’s outputs consistent with what we know about the patient’s physiologic state? Are we doing all we can to rescue, recover, or stabilize this patient?

Which patients are improving or responding well to treatment?

  • Did a pharmacological or clinical intervention take place?
  • Are they trending green because the treatment was effective?

Which patients may be ready for downgrade?

  • Is the patient displaying as green because the treatment is effective?
  • Can we free up capacity by downgrading this patient to a lower level of care?
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Read the Research

Publication

Use of a continuous single lead electrocardiogram analytic to predict patient deterioration requiring rapid response team activation.

PLOS Digital Health

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Publication

Predictive nature of a hemodynamic indicator by duration of instability in critically ill patients.

Critical Care Medicine

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Publication

Prediction of episode of hemogynamic electrocardiogram based analytic: a retrospective cohort study.

BMC Anesthesiology

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Publication

Evaluation of the Analytic for Hemodynamic instability as a Prediction Tool for Early Identification of Patient Deterioration.

World Academy of Science, Engineering and Technology

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Publication

Detection of Hemodynamic Status Using an Analytic Based on an Electrocardiogram Lead Waveform.

Critical Care Explorations

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Publication

Evaluation of an Electrocardiogram Based Analytic for Predicting Future Episodes of Hemodynamic Instability.

Circulation

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Publication

Evaluating the Utility of a Predictive Analytic for Reducing Intensive Care Unit Readmissions.

Circulation

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Publication

Detection of Hemodynamic Status Using a Novel Analytic Based Solely on a Single ECG Waveform.

Circulation

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Publication

A Continuous Real-Time Analytic for Predicting Instability in Acute Care Rapid Response Team Activations.

World Academy of Science, Engineering and Technology

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Publication

A Novel Continuous Heart Rate Variability Based Analytic to Predict Clinical Hemodynamic Instability Requiring Intervention.

Circulation

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