CrelyCOMPASS connects wearable multimodal sensing, patient-specific intelligence, and clinical workflow into one operating system for postoperative recovery — so emerging change is seen, understood, and acted on earlier, across every setting of care.
Every part of CrelyCOMPASS exists to carry a physiological signal toward a timely clinical decision — and to keep that thread unbroken as the patient moves through care.
A comfortable wearable captures multimodal physiology without interrupting care.
Data moves continuously and securely from the bedside to the cloud.
Signals are quality-checked, baselined per patient, and analyzed over time.
Trends and status are presented to the care team in clinical context.
Meaningful change raises a proportional, prioritized alert — not noise.
The same monitoring thread follows the patient from ICU to ward to home.
No single measurement captures postoperative deterioration. Crely combines complementary signals, each carrying a different part of the physiological story — so a change confirmed across several is more trustworthy than any one alone.
Near-infrared spectroscopy (NIRS) of tissue oxygen saturation and peripheral perfusion.
Why it matters — microvascular oxygen delivery often shifts early when perfusion is compromised.
A low-level electrical measurement sensitive to tissue fluid and composition.
Why it matters — reflects fluid shifts and inflammatory change around the surgical site.
ECG-derived heart rate, rhythm, and beat-to-beat variability.
Why it matters — autonomic response is an early, sensitive marker of physiological stress.
Localized thermoregulation and perfusion at the measurement site.
Why it matters — rising local temperature can accompany inflammation and infection.
Movement, rest, and restlessness through an onboard motion sensor.
Why it matters — return to activity and sleep patterns track the recovery trajectory.
Between the sensor and the care team, six steps turn continuous measurement into something a clinician can act on with confidence.
Continuous multimodal signals are recorded at the bedside and at home.
Signal quality is assessed so noise and artifact do not drive conclusions.
Each patient becomes their own reference, not a population average.
Meaningful deviation from that personal baseline is identified over time.
Signals are read together, so patterns — not single blips — carry weight.
A proportional, tiered alert reaches the right member of the care team.
Risk does not end at discharge — but most monitoring does. CrelyCOMPASS is designed to stay with the patient across the whole recovery arc.
The transitions between settings — ICU to ward, hospital to home — are where visibility is most often lost. Continuous monitoring is designed to keep the care team informed exactly where hand-offs create blind spots.
Monitoring only helps if it reaches the right person at the right moment, in a form they can act on. CrelyCOMPASS is designed around the existing clinical workflow, not against it.
Alerts are graded by urgency, so attention goes to meaningful change instead of constant noise.
Trends and context are available for review, supporting — never replacing — clinical judgment.
A shared view helps the team coordinate across shifts, units, and settings of care.
Monitoring continues after discharge, extending the team's visibility into recovery at home.
CrelyCOMPASS is intended to complement clinical assessment and standard monitoring. It does not provide a stand-alone diagnosis and is not a substitute for clinical judgment or emergency care. CrelyCOMPASS is an investigational platform described here for information; its current development and regulatory status is on the Regulatory & Product Status page.
We are working with clinical leaders, hospitals, and researchers to validate and implement a new approach to postoperative monitoring.
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