Applying Artificial Intelligence (AI), on hospital data, algorithms will enable algorithms to use trends in various cardiac variables to identify patients with undiagnosed heart disease.
U.S. California-based Digital Health company Egnite has advanced in the development of predictive algorithms for its CardioCare service, which will offer progress in the treatment of patients with structural heart disease.
The algorithms, used on hospital data, will be able to review trends in aortic stenosis, and track the disease. The new CardioCare algorithms and algorithm tools include:
- Leverage data from egnite’s proprietary database of more than 500,000 de-identified echocardiographic studies, including more than 11,000 studies with indications of significant disease.
- Predict the likelihood that a patient has been undiagnosed with severe AS, facilitating further review of significant clinical data points.
- Predict the likelihood that a moderate AS patient will progress to severe disease, enabling clinicians to prioritize their patient population for clinical follow-up.
Results from the Egnite database showed that one in four patients undergoing echocardiograms was diagnosed with moderate or severe heart disease. They also found among the findings that only 11% of patients receive echocardiograms regularly and at their recommended intervals.
“Our health care system is fragmented, which can result in either undertreatment or lack of timely treatment of structural heart disease,” said Egnite's chief medical officer, Glenn R. Barnhart.
On the other hand, Joel Portice, CEO of Egnite, explained the importance of leveraging hospital and patient data to improve the quality of medical services, “We are using vast amounts of data to solve big problems and close gaps in patient care.”
He further expressed his enthusiasm about the use of AI in healthcare: “We believe this is the first of many AI applications that will become a game changer for our physician partners and deliver meaningful improvements in patient care, with the potential to save thousands of lives. Now, more than ever we are acting with urgency to get these AI solutions into providers’ hands.”
