ArticleJournal of biomedical informatics2021
Adaptation of an NLP system to a new healthcare environment to identify social determinants of health.
Article in Journal of biomedical informatics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers, 2 of them syntheses that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
26 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Applications of Natural Language Processing and Large Language Models for Social Determinants of Health: Systematic Review.Journal of medical Internet research · 2026Pooled it
- Impact of Natural Language Processing models on diagnosis and decision-making in healthcare, business, education, and sports: a review.Frontiers in artificial intelligence · 2025Pooled it
- Geriatric syndromes extraction from discharge summaries: a new dataset, annotation scheme and initial findings.Frontiers in digital health · 2026Article
- Development and Validation of a Natural Language Processing Algorithm Using Electronic Health Record Data to Identify Breast Cancer Patients With Low Social Support.JCO oncology advances · 2025Article
- SBDH-Reader: a large language model-powered method for extracting social and behavioral determinants of health from clinical notes.Journal of the American Medical Informatics Association : JAMIA · 2025Article
- Applying text-mining to clinical notes: the identification of patient characteristics from electronic health records (EHRs).BMC medical informatics and decision making · 2025Article
- Extracting Social Determinants of Health from Dental Clinical Notes.Applied clinical informatics · 2025Article
- Social determinants of health extraction from clinical notes across institutions using large language models.NPJ digital medicine · 2025Article
- Using Large Language Models to Abstract Complex Social Determinants of Health From Original and Deidentified Medical Notes: Development and Validation Study.Journal of medical Internet research · 2024Article
- Augmenting the Hospital Score with social risk factors to improve prediction for 30-day readmission following acute myocardial infarction.Medical research archives · 2024Article
- Bias in medical AI: Implications for clinical decision-making.PLOS digital health · 2024Review
- Social Phenotyping for Cardiovascular Risk Stratification in Electronic Health Registries.Current atherosclerosis reports · 2024Review
- Classifying Individuals With Rheumatic Conditions as Financially Insecure Using Electronic Health Record Data and Natural Language Processing: Algorithm Derivation and Validation.ACR open rheumatology · 2024Article
- Using Large Language Models to Annotate Complex Cases of Social Determinants of Health in Longitudinal Clinical Records.medRxiv : the preprint server for health sciences · 2024Article
- Big Data, Big Insights: Leveraging Data Analytics to Unravel Cardiovascular Exposome Complexities.Methodist DeBakey cardiovascular journal · 2024Review
- Natural language processing to identify social determinants of health in Alzheimer's disease and related dementia from electronic health records.Health services research · 2023Article
- Generalizability and portability of natural language processing system to extract individual social risk factors.International journal of medical informatics · 2023Article
- The 2022 n2c2/UW shared task on extracting social determinants of health.Journal of the American Medical Informatics Association : JAMIA · 2023Article
- Leveraging natural language processing to augment structured social determinants of health data in the electronic health record.Journal of the American Medical Informatics Association : JAMIA · 2023Article
- Clinical Application of Detecting COVID-19 Risks: A Natural Language Processing Approach.Viruses · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
14 authors.
Funding
Abstract
Social determinants of health (SDoH) are increasingly important factors for population health, healthcare outcomes, and care delivery. However, many of these factors are not reliably captured within structured electronic health record (EHR) data. In this work, we evaluated and adapted a previously published NLP tool to include additional social risk factors for deployment at Vanderbilt University Medical Center in an Acute Myocardial Infarction cohort. We developed a transformation of the SDoH outputs of the tool into the OMOP common data model (CDM) for re-use across many potential use cases, yielding performance measures across 8 SDoH classes of precision 0.83 recall 0.74 and F-measure of 0.78.
Indexed as
Identifiers
What 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.