Clinical Applications

What complications can it help catch?

IRIS, CLARIS, and MERIS are three clinical applications built on one shared physiological platform — each reading the same multimodal signals for a different pattern of postoperative risk.

One platform, three lenses

Three applications. One physiological platform.

Crely doesn't run three separate devices. IRIS, CLARIS, and MERIS interpret the same continuous, multimodal signal stream — each tuned to a different pattern of postoperative risk, and each grounded in physiology rather than a generic score.

IRISInfection
CLARISDeterioration
MERISTrajectory
One shared multimodal platform · patient-specific baselines · continuous from ICU to home
The applications

Three risks, read from one signal.

Each application is described by the problem it addresses, why that problem is recognized late today, the physiological pattern it reads, and how it fits the care team's workflow. Performance figures are held on the Evidence page, always with their study context.

Infection

IRIS

Infection Risk Intelligence System

Surfaces the physiological signature of an evolving infection — before clinical confirmation.

The problem

Postoperative infection often declares itself late — after fever, rising white cells, or a positive culture, by which point the process is already established.

Recognition delay

Culture turnaround and overt clinical signs can lag the underlying physiology by many hours to days.

Physiological signal

Coordinated shifts across tissue oxygenation, bioimpedance, skin temperature, and autonomic (ECG-derived) markers form a pattern consistent with an evolving infective response.

In the workflow

Contributes an infection-risk signal to the tiered-alert stream, prompting earlier clinical assessment and, where warranted, earlier work-up.

Development statusDeveloped retrospectively on a post-cardiac-surgery cohort; prospective validation planned. Investigational — not for stand-alone diagnostic use.
Deterioration

CLARIS

Critical Care Alert & Risk Intelligence System

Flags acute physiologic deterioration as it develops — ahead of escalation.

The problem

Acute metabolic and haemodynamic deterioration — such as rising lactate or acid-base disturbance — can develop quickly between scheduled labs and observations.

Recognition delay

Intermittent blood gases and spot vitals can miss the window in which deterioration accelerates.

Physiological signal

Continuous multimodal patterns track perfusion and metabolic stress, flagging divergence from the patient's own baseline.

In the workflow

Raises an early deterioration signal so the team can confirm with labs and escalate care sooner.

Development statusDeveloped retrospectively on a post-cardiac-surgery cohort; prospective validation planned. Investigational — not for stand-alone diagnostic use.
Trajectory

MERIS

Mortality Event Risk Intelligence System

Identifies patients on a persistently high-risk recovery trajectory.

The problem

Some patients deteriorate along a slow, sustained trajectory that is hard to see in point-in-time snapshots.

Recognition delay

Day-to-day assessments may not reveal a persistent downward trend until late in the course.

Physiological signal

Longitudinal analysis of multimodal signals identifies persistently abnormal trajectories rather than isolated events.

In the workflow

Highlights persistently high-risk patients for closer review and multidisciplinary attention.

Development statusDeveloped retrospectively on a post-cardiac-surgery cohort; prospective validation planned. Investigational — not for stand-alone diagnostic use.
Extensibility

One platform, room to grow — responsibly.

The same multimodal platform is designed to support additional applications as evidence is established. We describe only what has been developed, and we separate development status from clinical validation at every step — no application is presented as more mature than the evidence supports.

Shared foundation

New applications draw on the same sensing, connectivity, and baseline infrastructure — not a new device each time.

Evidence-gated

An application advances only as its supporting evidence advances — development, then prospective validation.

Status always distinguished

Investigational, in-development, and validated capabilities are labelled distinctly — never blurred together.

The evidence

See the evidence behind each application.

Cohorts, warning-time, and performance for IRIS, CLARIS, and MERIS — always presented with population, sample size, design, and status.

Request an evidence briefing