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Improving Risk Stratification of Emergency Department Patients With Acute Heart Failure

Heart Failure Clinical Trial

Official title:
Improving Risk Stratification of Emergency Department Patients With Acute Heart Failure: Building and Testing a Machine-learning Platform for Personalized, Accurate, Real-time Risk Prediction

Clinical Trial Summary

The primary goal is to build and test a previously developed and validated risk model and clinical decision support tool embedded within the electronic health record to improve risk stratification of emergency department (ED) patients with acute heart failure (AHF).

Clinical Trial Description

The study team will build an electronic health record-embedded clinical decision support tool using a recently developed risk prediction model that curates patient-specific data in real-time, accurately estimates short-term patient risk, and presents tailored clinical recommendations. This will be a regional implementation study in which the tool is turned on at 21 emergency departments (ED) across Kaiser Permanente Northern California (KPNC). The study team will validate risk predictions and study key clinical outcomes as part of this trial. ;

Study Design

Related Conditions & MeSH terms

Clinical Trial Details
NCT number NCT06065761
Study type Observational
Source Kaiser Permanente
Contact Dana R Sax, MD, MPH
Phone 510-891-3400
Email dana.r.sax@kp.org
Status Not yet recruiting
Phase
Start date October 1, 2024
Completion date December 31, 2025
View Details
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