Effectiveness of a clinical decision support system with prediction modeling to identify patients with health-related social needs in the emergency department: Study protocol.

ABSTRACT:

Introduction

Health-related social needs (HRSNs) encompass various non-medical risks from a patient's life circumstances. The emergency department (ED) is a crucial yet challenging setting for addressing patient HRSNs, a clinical decision support (CDS) intervention could assist in identifying patients at high risk of having HRSNs. This project aims to implement and evaluate a CDS intervention that offers ED clinicians risk prediction scores to determine which patients will likely screen positive for one or more HRSNs.

Materials & methods

The FHIR-based CDS intervention, implemented in the ED setting of a health system in Indianapolis, Indiana, will use health information exchange data to generate logit-derived probability scores that estimate an adult patient's likelihood of

SUBMITTER: Mazurenko O 

PROVIDER: S-EPMC12068607 | biostudies-literature | 2025

REPOSITORIES: biostudies-literature