Predictive data to preserve health

Delivering and transforming physiological data

to help prevent cardiac decompensation.

The Scale of Heart Failure

Heart failure places a growing burden on patients, families and healthcare systems across the USA and Europe.




 

2M

Annual heart failure hospitalizations*




 

$137B

Annual direct heart failure costs*




 

70%

Comes from hospitalizations alone**

* USA & EU territory, ** Annual costs

How the CardiaMetrics Solution Works

CardiaMetrics is designed to transform daily physiological signals
into earlier, actionable insight for cardiac care teams.

Capture cardiac signals

A subcutaneous sensing system is designed to collect daily
physiological data while the patient remains at home.

Transform data into insight

Signal processing and predictive models provide PCWP and identify patterns that may indicate deterioration.

Support earlier clinical action

Care teams receive prioritized, actionable information designed
to support timely follow-up and treatment decisions.

Outcomes we’re working toward

By turning daily cardiac data into earlier clinical insight,
CardiaMetrics is designed to support three connected outcomes.

Keep Patients at Home

Reduce Avoidable Hospitalizations

Delay Loss of Autonomy

Built Through Clinical Collaboration

There’s a substantial body of evidence showing that changes in
intracardiac pressure precede the clinical signs of heart failure
decompensation.

Portrait of Professor Michael Robert Zile

Professor Michael Robert Zile

Cardiologist · MUSC Health

Clinical study underway

CHU de Caen Normandie

Advancing clinical validation

Our first clinical study is underway in collaboration with CHU de Caen Normandie, supporting the clinical and technical development of the CardiaMetrics platform.

View clinical evidence →

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