Leveraging natural language processing to augment structured social determinants of health data in the electronic health record.

ABSTRACT:

Objective

Social determinants of health (SDOH) impact health outcomes and are documented in the electronic health record (EHR) through structured data and unstructured clinical notes. However, clinical notes often contain more comprehensive SDOH information, detailing aspects such as status, severity, and temporality. This work has two primary objectives: (1) develop a natural language processing information extraction model to capture detailed SDOH information and (2) evaluate the information gain achieved by applying the SDOH extractor to clinical narratives and combining the extracted representations with existing structured data.

Materials and methods

We developed a novel SDOH extractor using a deep learning entity and relation extraction architecture to characterize SDO

SUBMITTER: Lybarger K 

PROVIDER: S-EPMC10354760 | biostudies-literature | 2023 Jul

REPOSITORIES: biostudies-literature