Conceptio › Archive › ClinicalTrials.gov
ClinicalTrials.gov public full text Public Domain

Addressing Under-treatment and Health Equity in AS and MR Using an Integrated EHR Platform

Tempus AI · 2024
ClinicalTrials.gov · Datasets · License: Public Domain · 2024
Open Source ↗
na
This multi-center, prospective, cluster-randomized controlled trial will evaluate Tempus Next automated notifications as an intervention to support identification and evaluation of patients possibly indicated for Valve Intervention (VI). This study will evaluate the impact of Tempus Next's automated notifications on: (1) Transcatheter or surgical procedure for AS or MR; and (2) Clinic visit with at least one member of the Multidisciplinary Heart Team (including time to evaluation) for patients with definitive or possible severe AS or MR on echocardiogram. These endpoints will also be examined within and between assigned groups according to race, ethnicity, sex, and geography. The primary question that will be answered: Do automated alerts sent to clinical providers decrease under-treatment of severe aortic stenosis and severe mitral regurgitation? The study will compare the rate of clinical follow-up and aortic valve surgery in a control group (no alerts sent) to a treatment group (alerts sent to an appropriate care provider).
Conceptio Open Archive

Analyze & explore related research in Conceptio

Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.

This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗

Related documents

Record · ID 994800
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive