Abstract

Owing to the expense of healthcare and aging demographics, health inequity has emerged as a critical challenge in the United States, leading to significant disparities in health outcomes and unequal access to care in different communities. Understanding the complex associations between the distribution of healthcare providers, clinician characteristics, and socioeconomic conditions in communities of practice is essential to developing policies to close health inequity gaps. However, research in this domain is challenging due to the fragmentation of relevant datasets (including by the government), and the difficulty of using these datasets in a semantically unified manner. To address this challenge, we introduce HealthEQKG, an open-source knowledge graph (KG) specifically designed to support both qualitative and quantitative health equity research. Supported by a compact underlying ontology, HealthEQKG …

Date

October 29, 2025

Authors

Navapat Nananukul, Mayank Kejriwal

Book

International Semantic Web Conference

Pages

183-202

Publisher

Springer Nature Switzerland