ICU beds are full — but are they efficient? While many factors contribute to prolonged ICU stays, one modifiable and often overlooked issue is patient-ventilator asynchrony. Discover how AI-powered monitoring can help reduce ventilation time and support early weaning decisions.
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In the fast-paced environment of an ICU, even experienced clinicians can miss critical respiratory events. One of the most under recognized — yet impactful — issues is patient-ventilator asynchrony (PVA). These mismatches between a patient's breathing effort and the ventilator's support can have serious consequences, but they're surprisingly easy to overlook.
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In the ICU, patient conditions evolve minute by minute. Yet most monitoring systems rely on low-resolution data, missing critical events. Discover why high-frequency data collection is essential for modern critical care.
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Practice ventilation safely without a physical ventilator. Our online lung ventilator simulator allows clinicians and students to learn mechanical ventilation strategies, interpret waveforms, and manage complex cases from ARDS to COPD.
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Most ventilators provide only averages. But patients don't breathe in averages. Granular, breath-by-breath data reveals patient-ventilator interaction in real time, helping detect asynchrony early and support personalized care.
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