Seamless transmission of coronary computed tomography images and machine learning data can assist care providers in identifying and treating heart disease earlier.
WHY IT IMPORTANT
By automatically uploading CCTA scans, or CT angiograms, from the local system to Cleerly’s cloud service, clinicians can improve the speed and accuracy of atherosclerosis identification. cardiovascular disease, the leading cause of heart disease.
Cleerly’s measures of diagnosis and correction of reports of plaque buildup in cardiac arteries. New software streamlines image transmission to make the whole process faster for providers and improve patient outcomes.
The company claims on its website that its results are proven and that the Cleerly digital care route is simpler, faster and more accurate, leading to an earlier diagnosis.
Nick Nieslanik, CTO of Cleerly, said: “Proxy is a turnkey solution that gives doctors and providers more time to focus directly on their patients’ heart care while we manage it. manage their workflow and provide IT comfort and security.”
“By eliminating the need for multiple systems and workflows, heart disease detection becomes a priority and allows us to drive the required analytics and reporting insights to our stakeholders quickly, getting them right where they need to be.”
According to the company, the vendor installs the OVA file and the software can act as an endpoint for receiving CT angiography images from imaging communication and storage systems (PACS) and from central repositories. supplier setting.
Once received, each scan can be uploaded to the Cleery cloud server and shared with other providers and patients.
TREND TO BIGGER
In July, Cleerly received $192 million in funding to ramp up capacity about a year after the company launched. Backers led by T. Rowe Price include the Heartland Healthcare Capital funds, Novartis, LRVHealth, Cigna Ventures and others.
To improve cardiovascular care, many organizations are working on AI-guided heart disease detection.
Last year, the Mayo Clinic released the results of a trial that used AI-powered electrocardiograms to boost the diagnosis of low ejection fraction, a marker of heart failure, Natural medicine.
While echocardiography can measure and detect low ejection fractions, electrocardiograms are more readily available and cost-effective. When detected, the electronic health record alerts the clinician for follow-up with echocardiography.
Dr Peter Noseworthy, Mayo Clinic cardiac electrophysiologist who was senior on the study, said: “The AI-powered EKG aids in the diagnosis of patients with low ejection fraction in a real-world setting by identify people who have previously slipped through the cracks. author.
Also last year, Yale researchers applied machine learning using data from two large clinical trials to develop a decision support tool called ASSIST that could help cardiologists decide which imaging to use for the care of patients with coronary artery disease.
ON PROFILE
“With Proxy, our goal is to be completely seamless and enable providers to better treat their heart patients,” said Dr. James Min, founder and CEO of Cleerly. know in the notice.
“The addition of Proxy to our portfolio will reduce the time it takes for providers to receive our AI-based quantifiable disease analysis with a tool that fits directly into the workflow. This virtual device is another way we’re improving the way heart disease is identified, prevented, and treated.”
Andrea Fox is the senior editor of Healthcare IT News.
Email: [email protected]
Healthcare IT News is a HIMSS publication.
