The ENACT Network is Acting on Housing Instability and the Unhoused Using the Open Health Natural Language Processing Toolkit

Overview

Journal J Clin Transl Sci

Publisher Cambridge University Press

Date 2024 Dec 10

PMID 39655040

Authors

Daniel R Harris

Sunyang Fu

Andrew Wen

Alexandria Corbeau

Darren Henderson

Jordan Hilsman

David Oniani

Yanshan Wang

Affiliations

Soon will be listed here.

Abstract

Housing is an environmental social determinant of health that is linked to mortality and clinical outcomes. We developed a lexicon of housing-related concepts and rule-based natural language processing methods for identifying these housing-related concepts within clinical text. We piloted our methods on several test cohorts: a synthetic cohort generated by ChatGPT for initial infrastructure testing, a cohort with substance use disorders (SUD), and a cohort diagnosed with problems related to housing and economic circumstances (HEC). Our methods successfully identified housing concepts in our ChatGPT notes (recall = 1.0, precision = 1.0), our SUD population (recall = 0.9798, precision = 0.9898), and our HEC population (recall = N/A, precision = 0.9160).

Citing Articles

Development and Validation of Natural Language Processing Algorithms in the ENACT National Electronic Health Record Research Network.

Wang Y, Hilsman J, Li C, Morris M, Heider P, Fu S medRxiv. 2025; .

PMID: 39974073 PMC: 11839006. DOI: 10.1101/2025.01.24.25321096.

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