Extracting social determinants of health from electronic health records using natural language processing: a systematic review

BG Patra, MM Sharma, V Vekaria… - Journal of the …, 2021 - academic.oup.com
Objective Social determinants of health (SDoH) are nonclinical dispositions that impact
patient health risks and clinical outcomes. Leveraging SDoH in clinical decision-making can …

Social determinants of health in electronic health records and their impact on analysis and risk prediction: a systematic review

M Chen, X Tan, R Padman - Journal of the American Medical …, 2020 - academic.oup.com
Objective This integrative review identifies and analyzes the extant literature to examine the
integration of social determinants of health (SDoH) domains into electronic health records …

Large language models to identify social determinants of health in electronic health records

M Guevara, S Chen, S Thomas, TL Chaunzwa… - NPJ digital …, 2024 - nature.com
Social determinants of health (SDoH) play a critical role in patient outcomes, yet their
documentation is often missing or incomplete in the structured data of electronic health …

Artificial intelligence in nursing: Priorities and opportunities from an international invitational think‐tank of the Nursing and Artificial Intelligence Leadership …

CE Ronquillo, LM Peltonen, L Pruinelli… - Journal of advanced …, 2021 - Wiley Online Library
Aim To develop a consensus paper on the central points of an international invitational think‐
tank on nursing and artificial intelligence (AI). Methods We established the Nursing and …

[HTML][HTML] Classifying social determinants of health from unstructured electronic health records using deep learning-based natural language processing

S Han, RF Zhang, L Shi, R Richie, H Liu… - Journal of biomedical …, 2022 - Elsevier
Objective Social determinants of health (SDOH) are non-medical factors that can profoundly
impact patient health outcomes. However, SDOH are rarely available in structured electronic …

Use of electronic medical records in development and validation of risk prediction models of hospital readmission: systematic review

E Mahmoudi, N Kamdar, N Kim, G Gonzales, K Singh… - bmj, 2020 - bmj.com
Objective To provide focused evaluation of predictive modeling of electronic medical record
(EMR) data to predict 30 day hospital readmission. Design Systematic review. Data source …

The 2022 n2c2/UW shared task on extracting social determinants of health

K Lybarger, M Yetisgen, Ö Uzuner - Journal of the American …, 2023 - academic.oup.com
Objective The n2c2/UW SDOH Challenge explores the extraction of social determinant of
health (SDOH) information from clinical notes. The objectives include the advancement of …

Machine learning applied to electronic health record data in home healthcare: a scoping review

M Hobensack, J Song, D Scharp, KH Bowles… - International journal of …, 2023 - Elsevier
Objective Despite recent calls for home healthcare (HHC) to integrate informatics, the
application of machine learning in HHC is relatively unknown. Thus, this study aimed to …

[HTML][HTML] Assessing the availability of data on social and behavioral determinants in structured and unstructured electronic health records: a retrospective analysis of a …

E Hatef, M Rouhizadeh, I Tia, E Lasser… - JMIR medical …, 2019 - medinform.jmir.org
Background: Most US health care providers have adopted electronic health records (EHRs)
that facilitate the uniform collection of clinical information. However, standardized data …

Tasks as needs: reframing the paradigm of clinical natural language processing research for real-world decision support

A Lederman, R Lederman… - Journal of the American …, 2022 - academic.oup.com
Electronic medical records are increasingly used to store patient information in hospitals and
other clinical settings. There has been a corresponding proliferation of clinical natural …