CalmWave, a company specializing in reducing non-actionable alarms through healthcare data science and Transparent AI, has introduced Recovery State, a new solution designed to help hospitals identify when patients are ready for safe discharge or transfer to lower levels of care. The platform leverages CalmWave’s high-resolution longitudinal data to provide objective insights into patient recovery, allowing hospitals to make earlier, data-driven decisions that can reduce length of stay, minimize readmissions, and optimize patient flow.

Most existing hospital analytics focus on predicting patient deterioration, leaving clinicians without clear, objective data to determine recovery readiness. Discharge and transfer decisions often rely on fragmented information and subjective clinical judgment. Traditional electronic medical records capture documentation and lab values but lack the continuous, high-frequency physiological data generated at the bedside. Vital signs, alarm patterns, and other device data, which represent the majority of patient activity, are typically discarded after brief display, creating gaps in understanding patient progress.

CalmWave addresses these challenges by aggregating billions of high-frequency signals from bedside monitors, medical devices, and EMRs into a unified, longitudinal view of each patient. Recovery State, built on this foundation, reframes patient recovery as a measurable clinical state. The platform allows clinicians to detect recovery phenotypes, model patient trajectories over time, integrate continuous vitals and device data, and make informed decisions about safe de-escalation or discharge.

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Ophir Ronen, founder and CEO of CalmWave, explained that healthcare systems have historically focused on tracking deterioration, not improvement. He emphasized that the necessary data has always existed but was not captured in an analyzable form. CalmWave built the infrastructure to collect this data and developed the intelligence layer in Recovery State to turn complex bedside information into actionable insights.

The platform uses Transparent AI to deliver recommendations with clear rationale and supporting evidence, including vital sign trends, medication de-escalation, device liberation, alarm burden patterns, and validated recovery phenotypes. Clinicians can review the underlying data for every signal, ensuring trust and safety while making discharge decisions. Recovery State transforms continuous bedside information into a precise measure of recovery, extending CalmWave’s mission to improve operational clarity in hospitals and enhance patient care throughout the clinical journey.

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