A scoping review of using large language models (llms) to investigate electronic health records (ehrs)

L Li, J Zhou, Z Gao, W Hua, L Fan, H Yu… - arXiv preprint arXiv …, 2024 - arxiv.org
Electronic Health Records (EHRs) play an important role in the healthcare system. However,
their complexity and vast volume pose significant challenges to data interpretation and …

Addressing health-related social needs and mental health needs in the neonatal intensive care unit: exploring challenges and the potential of technology

E van de Kamp, J Ma, N Monangi, FR Tsui… - International Journal of …, 2023 - mdpi.com
Unaddressed health-related social needs (HRSNs) and parental mental health needs in an
infant's environment can negatively affect their health outcomes. This study examines the …

Advancements in extracting social determinants of health information from narrative text

K Lybarger, OJ Bear Don't Walk IV… - Journal of the …, 2023 - academic.oup.com
Social determinants of health (SDoH) are the conditions in which people are born, live, work,
and age that affect personal well-being, health outcomes, and life expectancy. 1 SDoH …

[HTML][HTML] Realizing the Potential of Social Determinants Data: A Scoping Review of Approaches for Screening, Linkage, Extraction, Analysis and Interventions

C Li, DL Mowery, X Ma, R Yang, U Vurgun, S Hwang… - medRxiv, 2024 - ncbi.nlm.nih.gov
Background Social determinants of health (SDoH) like socioeconomics and neighborhoods
strongly influence outcomes, yet standardized SDoH data is lacking in electronic health …

[HTML][HTML] Multifaceted Natural Language Processing Task–Based Evaluation of Bidirectional Encoder Representations From Transformers Models for Bilingual (Korean …

K Kim, S Park, J Min, S Park, JY Kim… - JMIR Medical …, 2024 - medinform.jmir.org
Background: The bidirectional encoder representations from transformers (BERT) model has
attracted considerable attention in clinical applications, such as patient classification and …

Occupation Recognition and Exploitation in Rheumatology Clinical Notes: Employing Deep Learning Models for Named Entity Recognition and Knowledge Discovery …

A Madrid-García, I Perez-Sancristobal… - medRxiv, 2024 - medrxiv.org
Occupation is considered a Social Determinant of Health (SDOH) and its effects have been
studied at multiple levels. Although the inclusion of such data in the Electronic Health …

Leveraging Large Language Models to Extract Information on Substance Use Disorder Severity from Clinical Notes: A Zero-shot Learning Approach

M Mahbub, GM Dams, S Srinivasan, C Rizy… - arXiv preprint arXiv …, 2024 - arxiv.org
Substance use disorder (SUD) poses a major concern due to its detrimental effects on
health and society. SUD identification and treatment depend on a variety of factors such as …

Exploring prompts to elicit memorization in masked language model-based named entity recognition

Y Xia, A Sedova, PHL de Araujo, V Kougia… - arXiv preprint arXiv …, 2024 - arxiv.org
Training data memorization in language models impacts model capability (generalization)
and safety (privacy risk). This paper focuses on analyzing prompts' impact on detecting the …

Recognition of professions in medical documentation

A Madrid García - 2023 - e-spacio.uned.es
Abstract Named Entity Recognition (NER) in Electronic Health Record (EHR) is the area of
Natural Language Processing (NLP) that seeks to identify and extract unstructured …

Realizing the potential of social determinants data in EHR systems: A scoping review of approaches for screening, linkage, extraction, analysis, and interventions

C Li, DL Mowery, X Ma, R Yang, U Vurgun… - Journal of Clinical and …, 2024 - cambridge.org
Background: Social determinants of health (SDoH), such as socioeconomics and
neighborhoods, strongly influence health outcomes. However, the current state of …