CHSR receives NIH funding to implementation a clinical risk prediction tool
Sunil Kripalani, MD, MSc is part of a multiple-PI team, including Alan Storrow, MD and Dandan Liu, PhD, that was awarded a four-year R01 grant from NIH/NHLBI titled "Tailored dissemination and implementation of emergency care clinical decision support to improve emergency department disposition". The study team aims to implement a prediction tool (STRATIFY) in the EHR that identifies ED patients with acute heart failure that may be safe to discharge.
Tailored dissemination and implementation of emergency care clinical decision support to improve emergency department disposition
NIH Reporter Link
Over 80% of emergency department (ED) patients with acute heart failure (AHF) are admitted to the hospital, with only 10% at high-risk for in-hospital events. We developed and validated a prediction rule (STRATIFY) that identifies ED patients with AHF that may be safe to discharge. If successfully implemented, it will save substantial resources without sacrificing patient outcomes and help institutions achieve goals for accountable care.
A Randomized Trial of Protocolized Diuretic Therapy Compared to Standard Care in Emergency Department Patients with Acute Heart Failure
NIH Reporter Link
