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.
Physiologic data from non-invasive, continuous ECG signals
Data to hemodynamic status
The likelihood of future episodes of hemodynamic instability, updated every 2 minutes
Data on a multi-patient dashboard with trends and color-coded risk indicators
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.
Use of a continuous single lead electrocardiogram analytic to predict patient deterioration requiring rapid response team activation.
Predictive nature of a hemodynamic indicator by duration of instability in critically ill patients.
Prediction of episode of hemogynamic electrocardiogram based analytic: a retrospective cohort study.
Evaluation of the Analytic for Hemodynamic instability as a Prediction Tool for Early Identification of Patient Deterioration.
Detection of Hemodynamic Status Using an Analytic Based on an Electrocardiogram Lead Waveform.
Evaluation of an Electrocardiogram Based Analytic for Predicting Future Episodes of Hemodynamic Instability.
Evaluating the Utility of a Predictive Analytic for Reducing Intensive Care Unit Readmissions.
Detection of Hemodynamic Status Using a Novel Analytic Based Solely on a Single ECG Waveform.
A Continuous Real-Time Analytic for Predicting Instability in Acute Care Rapid Response Team Activations.
A Novel Continuous Heart Rate Variability Based Analytic to Predict Clinical Hemodynamic Instability Requiring Intervention.