Development of Machine Learning Algorithms for Identifying Patients With Limited Health Literacy.

ABSTRACT:

Rationale

Limited health literacy (HL) leads to poor health outcomes, psychological stress, and misutilization of medical resources. Although interventions aimed at improving HL may be effective, identifying patients at risk of limited HL in the clinical workflow is challenging. With machine learning (ML) algorithms based on readily available data, healthcare professionals would be enabled to incorporate HL screening without the need for administering in-person HL screening tools.

Aims and objectives

Develop ML algorithms to identify patients at risk for limited HL in spine patients.

Methods

Between December 2021 and February 2023, consecutive English-speaking patients over the age of 18 and new to an urban academic outpatient spine clinic were approached for particip

SUBMITTER: Koole D 

PROVIDER: S-EPMC11582738 | biostudies-literature | 2025 Feb

REPOSITORIES: biostudies-literature