National Institute on Aging 5P01AG005842-36

Project 1 - HEARTSPOT: Evaluating a Machine Learning System to Aid Decision-Making in the Emergency Department for Patients with ADRD

This award funds the HEARTSPOT project, which develops and evaluates a machine learning system to assist emergency department clinicians in decision-making for patients with acute coronary syndrome and cognitive impairments such as Alzheimer's disease and related dementias.

Description

The HEARTSPOT project seeks to improve accuracy in the treatment of acute coronary syndrome (ACS) for patients with Alzheimer’s disease and related dementias (ADRD). An augmented intelligence algorithm will be deployed across a large health system’s electronic medical record through a randomized evaluation to learn about ACS, detect risk signals for individual patients, and generate a new decision aid for emergency department clinicians. The goal is to give clinicians as much synthesized information on patient risk as possible at the point of deciding on the ACS treatment path. This project may improve ACS decisions for patients overall, for elderly patients given the complexity of their care decisions, but in particular for ADRD patients, for whom the algorithm may help fill critical information gaps necessary for clinicians to accurately assess ACS risk.

View original record