AIMC Topic: Electronic Health Records

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A Hybrid Natural Language Processing Platform for Multi-Site RWD Studies.

Studies in health technology and informatics Aug 7, 2025
Real-world data (RWD) obtained from electronic medical records has become a valuable resource for healthcare research. However, integrating unstructured free-text clinical data remains a significant challenge. Although natural language processing (NL...
Natural Language Processing Humans Data Mining Confidentiality Electronic Health Records
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Enhancing and Disaggregating Native Hawaiian and Pacific Islander (NHPI) Data Using Natural Language Processing and an Expanded Race/Ethnicity Lexicon.

Studies in health technology and informatics Aug 7, 2025
Native Hawaiian and Pacific Islander (NHPI) populations are often aggregated into broad racial categories, obscuring potential disparities. This study leverages an expanded race/ethnicity lexicon and natural language processing (NLP) to identify docu...
Racial Groups Hawaii Vocabulary, Controlled Humans Native Hawaiian or Pacific Islander Electronic Health Records Natural Language Processing Ethnicity
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Algorithmic Fairness in Machine Learning Prediction of Autism Using Electronic Health Records.

Studies in health technology and informatics Aug 7, 2025
Efforts to improve early diagnosis of autism spectrum disorder (ASD) in children are beginning to use machine learning (ML) approaches applied to real-world clinical datasets, such as electronic health records (EHRs). However, sex-based disparities i...
Child Case-Control Studies Child, Preschool Female Male Humans Autism Spectrum Disorder Machine Learning Retrospective Studies Algorithms Electronic Health Records
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Enhancing Vaccine Safety Surveillance: Extracting Vaccine Mentions from Emergency Department Triage Notes Using Fine-Tuned Large Language Models.

Studies in health technology and informatics Aug 7, 2025
This study evaluates fine-tuned Llama 3.2 models for extracting vaccine-related information from emergency department triage notes to support near real-time vaccine safety surveillance. Prompt engineering was used to initially create a labeled datase...
Humans Triage Natural Language Processing Electronic Health Records Large Language Models Data Mining Emergency Service, Hospital Adverse Drug Reaction Reporting Systems Product Surveillance, Postmarketing Vaccines
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Predicting Length of Stay in Acute Care Using Day-to-Day Patient Information.

Studies in health technology and informatics Aug 7, 2025
Predicting the Length of Stay (LoS) in healthcare settings is a critical task that supports optimized resource allocation and tailored clinical decision-making. Unlike most studies focused on ICU patients, this work targets acute care settings, addre...
Critical Care Humans Electronic Health Records Length of Stay Intensive Care Units
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Large Language Models Can be Good Medical Annotators: A Case Study of Drug Change Detection in Japanese EHRs.

Studies in health technology and informatics Aug 7, 2025
In this study, we combined automatically generated labels from large language models (LLMs) with a small number of manual annotations to classify adverse event-related treatment discontinuations in Japanese EHRs. By fine-tuning JMedRoBERTa and T5 on ...
Natural Language Processing Drug-Related Side Effects and Adverse Reactions Large Language Models Japan Electronic Health Records East Asian People Humans
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ICU Length of Stay Prediction for Patients with Diabetes Using Machine Learning and Clinical Notes.

Studies in health technology and informatics Aug 7, 2025
Diabetes, a chronic disease, often leads to poor health outcomes and increased healthcare costs, particularly for patients admitted to ICU. Accurate early prediction of ICU length of stay (LOS) is vital for hospital resource management and patient ou...
Intensive Care Units Electronic Health Records Female Neural Networks, Computer Machine Learning Diabetes Mellitus Male Length of Stay Humans
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A Performance-Based Voting Framework for Assertion Detection in Clinical Notes.

Studies in health technology and informatics Aug 7, 2025
Extracting structured information from unstructured clinical text remains a critical challenge in healthcare. This study introduces a robust framework for clinical assertion detection, integrating domain-specific embeddings like BioBERT, contextualiz...
Humans Machine Learning Data Mining Electronic Health Records Natural Language Processing Voting
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Preliminary Results from Using Gen-AI to Personalized Medication Leaflets.

Studies in health technology and informatics Aug 7, 2025
The product information of a medicinal product includes the summary of product characteristics (SmPC), package label, and patient information leaflet (PIL), previously available only in paper or pdf format. The European Medicines Agency (EMA) in 2020...
Pamphlets Artificial Intelligence Precision Medicine Electronic Health Records Patient Education as Topic Humans Drug Labeling
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Exploring Machine Learning for Predicting Peripheral and Central Precocious Puberty Through Cross-Hospital Validation.

Studies in health technology and informatics Aug 7, 2025
Precocious puberty, including Peripheral Precocious Puberty (PPP) and Central Precocious Puberty (CPP), presents diagnostic challenges in pediatric endocrinology, leading to delayed interventions. This study utilized machine learning models-Random Fo...
Machine Learning Electronic Health Records Female Humans Diagnosis, Computer-Assisted Child Reproducibility of Results Puberty, Precocious Sensitivity and Specificity
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