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

OTHER PROJECT INFORMATION – Project Summary/Abstract Project 1: HEARTSPOT: Evaluating a Machine Learning System to Aid Decision-Making in the Emergency Department for Patients with ADRD 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. While focused on improving healthcare decision-making in emergency departments and relating to ACS treatment for patients with ADRD specifically, Project 1 complements the work of the other four projects that all study different influences on healthcare for ADRD patients and healthcare disparities in different settings and contexts.