Detect heart failure with precision
As heart failure prevalence increases globally, there is a growing need for new innovative solutions to empower healthcare professionals with precision heart failure detection.
Rising cases
Heart failure cases are projected to double by 2030, resulting in an estimated $70 billion in annual spending. [2]
Overstretched resources
Heart failure contributes to 5.2M emergency visits per year, increasing clinical, operational, and financial burden.
High readmissions
Over 50% of patients hospitalized with heart failure are readmitted within 1 year, with an average unreimbursed cost ranging between $15,000 and $25,000.
Low reimbursement incentive
Many heart failure hospitalizations are reimbursed nearly $10,000 per admission below the actual cost of care.
Today’s approaches aren't working
Our traditional approaches to detect heart failure aren’t holding up to the drastic changes in both the healthcare industry and the population.
While echocardiography is the first-line test for investigation, current clinical algorithms continue to miss diagnosis. In addition, we’re experiencing a drastic shortage of cardiologists. The Association of American Medical Colleges estimates a shortage of up to 139k jobs by 2033.
This leads to a broad disparity in how effectively echocardiography is used to support proper and timely diagnosis.
The challenge with diagnosis
>50% have HFpEF
Over half of patients with heart failure have preserved ejection fraction where diastolic dysfunction is missed.
18 months wait time
Patients at many organizations are waiting up to 18 months for an echo exam.
75% missed
According to literature, current clinical algorithms misdiagnose heart failure up to 75% of the time.
Precision heart failure detection
Let's detect heart failure more effectively
Ultromics combines echocardiography - the most common and cost effective cardiac imaging modality - with AI-derived insights that go beyond human capability.
AI is a critical and necessary tool for providers to meet and overcome economic challenges and improve patient care.
The technology detects disease earlier and more consistently, alleviating the need for more costly and invasive procedures.
Myocardial Strain
Recognized for its value in early disease detection and heightened sensitivity over ejection fraction, guidelines emphasize the importance of adding global longitudinal strain to regular reporting practices and ensuring these measurements can be performed with minimal variability and in a timely manner. [4,5]
Analyzing strain can help you detect heart failure and provide earlier management even before visual changes and symptoms occur.
With EchoGo, adding strain to routine echocardiograms is fast, easy, and accurate.
HFpEF detection
Our AI increases HFpEF detection to 90% accuracy. This advanced technology offers a rapid and an improved means for the detection of early-stage heart failure and may reduce hospitalizations by 30%. [6,7]
We deliver confidence in HFpEF diagnosis, mitigate the risk of a missed diagnosis, and reduce the need for further invasive testing. Patients can receive treatments earlier, improving quality of life and reducing hospitalization and readmission costs.
Gain new insights. Save more lives.
AI can perform tirelessly in any location and for any socio-economic demographic. It levels the clinical playing field for all providers and their patients.
With cloud-based and easy-to-read reports, you’ll have a more precise understanding of heart failure that helps you save more lives.
