AIMC Topic: Electronic Health Records

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The Best of All Worlds: A Hybrid Approach to Cohort Identification with Rules, Small and Large Language Models.

Studies in health technology and informatics Aug 7, 2025
Balancing operational feasibility with the performance of natural language processing (NLP) systems is a significant challenge. This study presents a hybrid strategy to integrate manually curated rules, small language model (SLM), and large language ...
Large Language Models United States Natural Language Processing Electronic Health Records Data Mining Humans Cohort Studies Vocabulary, Controlled
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Optimizing Entity Recognition in Psychiatric Treatment Data with Large Language Models.

Studies in health technology and informatics Aug 7, 2025
Extracting nuanced adverse drug reactions (ADRs) from patient self-reported messages using is pivotal but challenging, particularly given HIPAA constraints. We investigate locally deployable small LLMs-Mistral-7B, Llama-3-8B, and Gemma-7B-for ADR ext...
Large Language Models Mental Disorders Electronic Health Records Data Mining Humans Natural Language Processing Adverse Drug Reaction Reporting Systems Drug-Related Side Effects and Adverse Reactions
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Development and Evaluation of Natural Language Processing Methods for Extracting Key Melanoma Pathology Concepts.

Studies in health technology and informatics Aug 7, 2025
This study presents the development and evaluation of an annotation schema and rule-based natural language processing (NLP) system for extracting key melanoma pathology concepts from surgical pathology reports. Achieving high precision and recall, ou...
Melanoma Skin Neoplasms Natural Language Processing Data Mining Humans Electronic Health Records
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Comparative Analysis of NLP Models for Automatic LOINC Document Ontology Named Entity Recognition in Clinical Note Titles.

Studies in health technology and informatics Aug 7, 2025
In order to utilize clinical notes for research studies, it is necessary to identify the most relevant notes. Mapping to the LOINC Document Ontology makes this process easier by reducing the variability of note types. We experimented with three model...
Logical Observation Identifiers Names and Codes Pattern Recognition, Automated Electronic Health Records Natural Language Processing
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Multimodal Fusion of EHR in Structures and Semantics: Integrating Clinical Records and Notes with Hypergraph and LLM.

Studies in health technology and informatics Aug 7, 2025
In recent decades, Electronic Health Records (EHRs) have become increasingly useful to support clinical decision-making and healthcare. EHRs usually contain heterogeneous information, such as structural data in tabular form and un-structured data in ...
Semantics Humans Neural Networks, Computer Electronic Health Records Natural Language Processing
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Improving Zero-Shot Multiclass Classification for Narrative Reports from National Violent Death Reporting System.

Studies in health technology and informatics Aug 7, 2025
The natural language processing pipeline powered by the BART model is a popular zero-shot text classification system. While the standard approach for using this pipeline can achieve impressive accuracies in many multiclass classification tasks, we be...
United States Narration Natural Language Processing Violence Humans Electronic Health Records
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Exploring Prompt-Based Large Language Model (LLM) Approach for Medication Error-Related Named Entity Recognition in Medical Incident Reports.

Studies in health technology and informatics Aug 7, 2025
Medication errors significantly challenge healthcare, necessitating innovative analytical methods. This study explored generative pre-trained language models (LLMs) for Named Entity Recognition (NER) in Japanese medical incident reports. We assessed ...
Natural Language Processing Japan Humans Electronic Health Records Medication Errors Large Language Models
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A Framework for Extracting, and Validating Named-Entities to Integrate Openehr Using the Example of Free Text Molecular Genetic Findings.

Studies in health technology and informatics Aug 7, 2025
Processing and extracting information from unstructured texts written by physicians in Hospitals is still an open problem. There is no efficient solution that ensures the reliability of the extracted information without any human intervention. Many f...
Humans Electronic Health Records Natural Language Processing Data Mining
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Natural Language Processing-Based Approach to Detect Common Adverse Events of Anticancer Agents from Unstructured Clinical Notes: A Time-to-Event Analysis.

Studies in health technology and informatics Aug 7, 2025
This study assessed the effectiveness of natural language processing (NLP) in detecting adverse events (AEs) from anticancer agents by analyzing data from over 39,000 cancer patients. A specialized machine learning model identified known AEs from ant...
Adverse Drug Reaction Reporting Systems Electronic Health Records Drug-Related Side Effects and Adverse Reactions Neoplasms Humans Antineoplastic Agents Data Mining Machine Learning Natural Language Processing
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Optimizing Nursing Records: Exploring the Impact of AI-Enhanced Documentation.

Studies in health technology and informatics Aug 7, 2025
The standardization of medical records through structured templates has gained importance in improving the quality and safety of patient care. The results showed that missing rates ranged from 40.0% (fever reduction) to 43.9% (pain), while redundant ...
Humans Documentation Nursing Records Artificial Intelligence Electronic Health Records
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