ArticleAMIA ... Annual Symposium proceedings. AMIA Symposium2014
Extracting Concepts Related to Homelessness from the Free Text of VA Electronic Medical Records.
Article in AMIA ... Annual Symposium proceedings. AMIA Symposium, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 1 of them a synthesis that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
17 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Extracting social determinants of health from electronic health records using natural language processing: a systematic review.Journal of the American Medical Informatics Association : JAMIA · 2021Pooled it
- Improving Identification of Patients Experiencing Homelessness in the Electronic Health Record: A Curated Registry Approach.Journal of general internal medicine · 2024Article
- Using electronic health record metadata to predict housing instability amongst veterans.Preventive medicine reports · 2024Article
- Automated identification of eviction status from electronic health record notes.Journal of the American Medical Informatics Association : JAMIA · 2023Article
- H4H: A Comprehensive Repository of Housing Resources for Homelessness.AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science · 2023Article
- Article
- Simplified data science approach to extract social and behavioural determinants: a retrospective chart review.BMJ open · 2022Article
- ReHouSED: A novel measurement of Veteran housing stability using natural language processing.Journal of biomedical informatics · 2021Article
- Adaptation of an NLP system to a new healthcare environment to identify social determinants of health.Journal of biomedical informatics · 2021Article
- Launching into clinical space with medspaCy: a new clinical text processing toolkit in Python.AMIA ... Annual Symposium proceedings. AMIA Symposium · 2021Article
- Social and Behavioral Determinants of Health in the Era of Artificial Intelligence with Electronic Health Records: A Scoping Review.Health data science · 2021Article
- Extracting Clinical Features From Dictated Ambulatory Consult Notes Using a Commercially Available Natural Language Processing Tool: Pilot, Retrospective, Cross-Sectional Validation Study.JMIR medical informatics · 2019Article
- Longitudinal analysis of social and behavioral determinants of health in the EHR: exploring the impact of patient trajectories and documentation practices.AMIA ... Annual Symposium proceedings. AMIA Symposium · 2019Article
- CDS in a Learning Health Care System: Identifying Physicians' Reasons for Rejection of Best-Practice Recommendations in Pneumonia through Computerized Clinical Decision Support.Applied clinical informatics · 2019Article
- Applying Machine Learning to Linked Administrative and Clinical Data to Enhance the Detection of Homelessness among Vulnerable Veterans.AMIA ... Annual Symposium proceedings. AMIA Symposium · 2018Article
- Clinical information extraction applications: A literature review.Journal of biomedical informatics · 2018Review
- Automatic health record review to help prioritize gravely ill Social Security disability applicants.Journal of the American Medical Informatics Association : JAMIA · 2017Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Mining the free text of electronic medical records (EMR) using natural language processing (NLP) is an effective method of extracting information not always captured in administrative data. We sought to determine if concepts related to homelessness, a non-medical condition, were amenable to extraction from the EMR of Veterans Affairs (VA) medical records. As there were no off-the-shelf products, a lexicon of terms related to homelessness was created. A corpus of free text documents from outpatient encounters was reviewed to create the reference standard for NLP training and testing. V3NLP Framework was used to detect instances of lexical terms and was compared to the reference standard. With a positive predictive value of 77% for extracting relevant concepts, this study demonstrates the feasibility of extracting positively asserted concepts related to homelessness from the free text of medical records.
Indexed as
Identifiers
25954364PMC4419940What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.