AIMC Topic: Electronic Health Records

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Automated stratification of trauma injury severity across multiple body regions using multi-modal, multi-class machine learning models.

Journal of the American Medical Informatics Association : JAMIA May 20, 2024
OBJECTIVE: The timely stratification of trauma injury severity can enhance the quality of trauma care but it requires intense manual annotation from certified trauma coders. The objective of this study is to develop machine learning models for the st...
Trauma Severity Indices Machine Learning Electronic Health Records Natural Language Processing Registries Injury Severity Score Wounds and Injuries Humans
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Collaborative and privacy-enhancing workflows on a clinical data warehouse: an example developing natural language processing pipelines to detect medical conditions.

Journal of the American Medical Informatics Association : JAMIA May 20, 2024
OBJECTIVE: To develop and validate a natural language processing (NLP) pipeline that detects 18 conditions in French clinical notes, including 16 comorbidities of the Charlson index, while exploring a collaborative and privacy-enhancing workflow.
Natural Language Processing Workflow Confidentiality France Data Warehousing Machine Learning Algorithms Electronic Health Records Humans
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Multimodal learning for temporal relation extraction in clinical texts.

Journal of the American Medical Informatics Association : JAMIA May 20, 2024
OBJECTIVES: This study focuses on refining temporal relation extraction within medical documents by introducing an innovative bimodal architecture. The overarching goal is to enhance our understanding of narrative processes in the medical domain, par...
Natural Language Processing Data Mining Datasets as Topic Machine Learning Electronic Health Records Narration Information Storage and Retrieval Humans
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Preparing for the bedside-optimizing a postpartum depression risk prediction model for clinical implementation in a health system.

Journal of the American Medical Informatics Association : JAMIA May 20, 2024
OBJECTIVE: We developed and externally validated a machine-learning model to predict postpartum depression (PPD) using data from electronic health records (EHRs). Effort is under way to implement the PPD prediction model within the EHR system for cli...
Electronic Health Records Female Risk Assessment Humans Machine Learning Decision Support Systems, Clinical Depression, Postpartum
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An interpretable predictive deep learning platform for pediatric metabolic diseases.

Journal of the American Medical Informatics Association : JAMIA May 20, 2024
OBJECTIVES: Metabolic disease in children is increasing worldwide and predisposes a wide array of chronic comorbid conditions with severe impacts on quality of life. Tools for early detection are needed to promptly intervene to prevent or slow the de...
Area Under Curve Metabolic Diseases Prediabetic State Diabetes Mellitus, Type 2 Pediatric Obesity Metabolic Syndrome Child, Preschool Humans Child Male Electronic Health Records ROC Curve Deep Learning Female Adolescent
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Why do users override alerts? Utilizing large language model to summarize comments and optimize clinical decision support.

Journal of the American Medical Informatics Association : JAMIA May 20, 2024
OBJECTIVES: To evaluate the capability of using generative artificial intelligence (AI) in summarizing alert comments and to determine if the AI-generated summary could be used to improve clinical decision support (CDS) alerts.
Decision Support Systems, Clinical Natural Language Processing Humans Medical Order Entry Systems Artificial Intelligence Electronic Health Records
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Extraction and Imputation of Eastern Cooperative Oncology Group Performance Status From Unstructured Oncology Notes Using Language Models.

JCO clinical cancer informatics May 1, 2024
PURPOSE: Eastern Cooperative Oncology Group (ECOG) performance status (PS) is a key clinical variable for cancer treatment and research, but it is usually only recorded in unstructured form in the electronic health record. We investigated whether nat...
Middle Aged Female Medical Oncology Neoplasms Humans Aged Natural Language Processing Electronic Health Records Male
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Use of Natural Language Processing to Infer Sites of Metastatic Disease From Radiology Reports at Scale.

JCO clinical cancer informatics May 1, 2024
PURPOSE: To evaluate natural language processing (NLP) methods to infer metastatic sites from radiology reports.
Neoplasms Natural Language Processing Neoplasm Metastasis Humans Prospective Studies Retrospective Studies Tomography, X-Ray Computed Electronic Health Records
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Use of Natural Language Understanding to Facilitate Surgical De-Escalation of Axillary Staging in Patients With Breast Cancer.

JCO clinical cancer informatics May 1, 2024
PURPOSE: Natural language understanding (NLU) may be particularly well equipped for enhanced data capture from the electronic health record given its examination of both content-driven and context-driven extraction.
Sentinel Lymph Node Biopsy Lymphedema Axilla Natural Language Processing Aged Neoplasm Staging Breast Neoplasms Lymph Nodes Humans Middle Aged Lymphatic Metastasis Electronic Health Records Female
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Navigating the Complexities of Artificial Intelligence-Enabled Real-World Data Collection for Oncology Pharmacovigilance.

JCO clinical cancer informatics May 1, 2024
This new editorial discusses the promise and challenges of successful integration of natural language processing methods into electronic health records for timely, robust, and fair oncology pharmacovigilance.
Humans Artificial Intelligence Electronic Health Records Neoplasms Medical Oncology Natural Language Processing Adverse Drug Reaction Reporting Systems Data Collection Pharmacovigilance
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