AIMC Topic: Electronic Health Records

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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 Intensive Care Units Electronic Health Records Length of Stay
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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 ...
Large Language Models Humans Drug-Related Side Effects and Adverse Reactions East Asian People Electronic Health Records Natural Language Processing Japan
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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...
Diabetes Mellitus Humans Male Length of Stay Intensive Care Units Neural Networks, Computer Electronic Health Records Machine Learning Female
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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...
Machine Learning Electronic Health Records Data Mining Voting Natural Language Processing Humans
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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...
Patient Education as Topic Drug Labeling Humans Precision Medicine Pamphlets Artificial Intelligence Electronic Health Records
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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...
Diagnosis, Computer-Assisted Child Puberty, Precocious Reproducibility of Results Sensitivity and Specificity Electronic Health Records Female Humans Machine Learning
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From Text to Knowledge: An End-To-End Extraction Pipeline for Clinical Information.

Studies in health technology and informatics Aug 7, 2025
This study explores the use of Large Language Models (LLMs) in extracting and structuring allergic reaction data from non-English clinical free texts. Leveraging open-source models such as Llama 3.1, Qwen 2.5, and Mistral NeMo, the study utilizes 500...
Systematized Nomenclature of Medicine Germany Natural Language Processing Data Mining Humans Electronic Health Records
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A Computational Framework for Tailored Preventive Care Recommendations Using Electronic Health Records.

Studies in health technology and informatics Aug 7, 2025
Most healthcare systems worldwide are designed to be reactive. According to the U.S. Centers for Disease Control and Prevention (CDC), 90% of the nation's $3.3 trillion annual healthcare expenditures are attributed to individuals with chronic and men...
Precision Medicine Electronic Health Records Decision Support Systems, Clinical Humans Artificial Intelligence Preventive Health Services United States Practice Guidelines as Topic
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Evaluation of Federated Learning Using Standardized EHR Data in Japan.

Studies in health technology and informatics Aug 7, 2025
This study addresses privacy concerns in multi-institutional data sharing by applying federated learning (FL) to develop a predictive model for prolonged air leaks (PAL) following video-assisted thoracoscopic surgery (VATS). Utilizing standardized el...
Information Dissemination Federated Learning Humans Machine Learning Confidentiality Thoracic Surgery, Video-Assisted Electronic Health Records Japan
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LLM-Based Medical Document Evaluation: Integrating Human Expert Insights.

Studies in health technology and informatics Aug 7, 2025
Large Language Models (LLMs) show potential in medical document generation, but ensuring reliability requires extensive expert involvement, limiting clinical applications. To address this challenge, we developed an LLM-based evaluation framework with...
Humans Electronic Health Records Programming Languages Documentation Expert Systems Reproducibility of Results Natural Language Processing
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