ArticleMedical care2017
A Novel Model for Predicting Rehospitalization Risk Incorporating Physical Function, Cognitive Status, and Psychosocial Support Using Natural Language Processing.
Article in Medical care, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 2 of them syntheses that pooled it.
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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
22 citing papers in PubMed, 2 syntheses or guidelines 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
- Natural language processing of symptoms documented in free-text narratives of electronic health records: a systematic review.Journal of the American Medical Informatics Association : JAMIA · 2019Pooled it
- Clinical and Sociobehavioral Prediction Model of 30-Day Hospital Readmissions Among People With HIV and Substance Use Disorder: Beyond Electronic Health Record Data.Journal of acquired immune deficiency syndromes (1999) · 2019Trial
- 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
- Extracting social support and social isolation information from clinical psychiatry notes: comparing a rule-based natural language processing system and a large language model.Journal of the American Medical Informatics Association : JAMIA · 2025Article
- Automated derivation of diagnostic criteria for lung cancer using natural language processing on electronic health records: a pilot study.BMC medical informatics and decision making · 2024Article
- 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
- Large language models to identify social determinants of health in electronic health records.NPJ digital medicine · 2024Article
- An NLP approach to identify SDoH-related circumstance and suicide crisis from death investigation narratives.Journal of the American Medical Informatics Association : JAMIA · 2023Article
- Adaptation of an NLP system to a new healthcare environment to identify social determinants of health.Journal of biomedical informatics · 2021Article
- A comprehensive study of mobility functioning information in clinical notes: Entity hierarchy, corpus annotation, and sequence labeling.International journal of medical informatics · 2021Article
- Automated Coding of Under-Studied Medical Concept Domains: Linking Physical Activity Reports to the International Classification of Functioning, Disability, and Health.Frontiers in digital health · 2021Article
- Development of a predictive model for retention in HIV care using natural language processing of clinical notes.Journal of the American Medical Informatics Association : JAMIA · 2021Article
- Social and Behavioral Determinants of Health in the Era of Artificial Intelligence with Electronic Health Records: A Scoping Review.Health data science · 2021Article
- Validity of early-onset dementia diagnoses in VA electronic medical record administrative data.The Clinical neuropsychologist · 2020Article
- Automatically Identifying Financial Stress Information from Clinical Notes for Patients with Prostate Cancer.Cancer research and reports · 2020Article
- Broadening horizons: the case for capturing function and the role of health informatics in its use.BMC public health · 2019Article
- Moonstone: a novel natural language processing system for inferring social risk from clinical narratives.Journal of biomedical semantics · 2019Article
- Automatically identifying social isolation from clinical narratives for patients with prostate Cancer.BMC medical informatics and decision making · 2019Article
- Comparing clinician descriptions of frailty and geriatric syndromes using electronic health records: a retrospective cohort study.BMC geriatrics · 2017Article
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundWith the increasing focus on reducing hospital readmissions in the United States, numerous readmissions risk prediction models have been proposed, mostly developed through analyses of structured data fields in electronic medical records and administrative databases. Three areas that may have an impact on readmission but are poorly captured using structured data sources are patients' physical function, cognitive status, and psychosocial environment and support. OBJECTIVE OF THE STUDY: The objective of the study was to build a discriminative model using information germane to these 3 areas to identify hospitalized patients' risk for 30-day all cause readmissions. RESEARCH
designWe conducted clinician focus groups to identify language used in the clinical record regarding these 3 areas. We then created a dataset including 30,000 inpatients, 10,000 from each of 3 hospitals, and searched those records for the focus group-derived language using natural language processing. A 30-day readmission prediction model was developed on 75% of the dataset and validated on the other 25% and also on hospital specific subsets.
resultsFocus group language was aggregated into 35 variables. The final model had 16 variables, a validated C-statistic of 0.74, and was well calibrated. Subset validation of the model by hospital yielded C-statistics of 0.70-0.75.
conclusionsDeriving a 30-day readmission risk prediction model through identification of physical, cognitive, and psychosocial issues using natural language processing yielded a model that performs similarly to the better performing models previously published with the added advantage of being based on clinically relevant factors and also automated and scalable. Because of the clinical relevance of the variables in the model, future research may be able to test if targeting interventions to identified risks results in reductions in readmissions.
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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.