- Tempus reported results from ALERT trial, which were recently presented at American College of Cardiology 75th Annual Scientific Session & Expo.
- Study found AI-driven clinician notifications embedded in EHRs improved timely evaluation and treatment for patients with significant aortic stenosis or mitral regurgitation versus usual care.
- Trial also indicated EHR-integrated decision support could help narrow undertreatment disparities by standardising follow-up for high-risk findings across different patient groups.
- Program was built on Tempus Next platform using natural language processing to identify disease severity from echocardiogram reports and trigger guideline-based care prompts.
- Notifications were designed to be device-agnostic, supporting broader adoption without tying workflows to any specific device vendor.
Disclaimer: This news brief was created by Public Technologies (PUBT) using generative artificial intelligence. While PUBT strives to provide accurate and timely information, this AI-generated content is for informational purposes only and should not be interpreted as financial, investment, or legal advice. Tempus AI Inc. published the original content used to generate this news brief via Business Wire (Ref. ID: 20260331030623) on April 01, 2026, and is solely responsible for the information contained therein.
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