Journal article
Extracting Housing and Food Insecurity Information From Clinical Notes Using cTAKES
Health services research, e14440
28 Jan 2025
PMID: 39871689
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
To assess the utility and challenges of using natural language processing (NLP) in electronic health records (EHRs) to ascertain health-related social needs (HRSNs) among older adults.
We extracted HRSN information using the NLP system Clinical Text Analysis and Knowledge Extraction System (cTAKES), combined with Concept Unique Identifiers and Systematized Nomenclature for Medicine codes. We validated cTAKES performance, via manual chart review, on two HRSNs: food insecurity, which was included in the healthcare system's HRSN screening tool, and housing insecurity, which was not.
De-identified EHRs in a large California healthcare system (January 2013 through October 2022) from 119,127 patients aged 55+ in primary and emergency care settings (n = 1,385,259 clinical notes).
Although cTAKES had a moderate positive predictive value (77.5%) for housing insecurity, housing challenges among older adults frequently did not align with the concepts the algorithm recognized. cTAKES performed poorly for food insecurity (positive predictive value: 18.5%) because this NLP system incorrectly flagged structured fields from the screening tool.
Unstandardized terminology and poor integration of HRSN screeners in EHR remain important barriers to identifying older adults' food and housing insecurity using cTAKES.
Metrics
Details
- Title
- Extracting Housing and Food Insecurity Information From Clinical Notes Using cTAKES
- Creators
- Min Hee Kim (Corresponding Author) - Rutgers, The State University of New JerseySilvia Miramontes - University of California, San FranciscoShivani Mehta - University of California, San FranciscoGabriel L Schwartz - Drexel UniversityYe Ji Kim - Boston UniversityYulin Yang - University of California, San FranciscoTanisha G Hill-Jarrett - University of California, San FranciscoNicolas Cevallos - University of California, San FranciscoRuijia Chen - Boston UniversityM Maria Glymour - Boston UniversityErin L Ferguson - University of California, San FranciscoScott C Zimmerman - University of California, San FranciscoMinhyuk Choi - University of California, San FranciscoKendra D Sims - University of California, San Francisco
- Publication Details
- Health services research, e14440
- Publisher
- WILEY
- Number of pages
- 7
- Grant note
- F31AG085965 / NIH HHS 5R01AG072681-04 / NIH HHS 5K00AG068431-06 / NIH HHS K23AG084871 / NIH HHS U54CA267735-03 / NIH HHS 4R00AG07840501-03 / NIH HHS 5K99AG078405-02 / NIH HHS K99AG083121 / NIH HHS F31AG085938 / NIH HHS F31MD019214 / NIH HHS
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- Urban Health Collaborative
- Web of Science ID
- WOS:001406903400001
- Scopus ID
- 2-s2.0-85216357297
- Other Identifier
- 991022020854204721
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- Collaboration types
- Domestic collaboration
- Web of Science research areas
- Health Care Sciences & Services
- Health Policy & Services