AIMC Topic: Nursing Records
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A nursing note-aware deep neural network for predicting mortality risk after hospital discharge.
International journal of nursing studies
May 9, 2024
BACKGROUND: ICU readmissions and post-discharge mortality pose significant challenges. Previous studies used EHRs and machine learning models, but mostly focused on structured data. Nursing records contain crucial unstructured information, but their ...
Sentiment Analysis Based on the Nursing Notes on In-Hospital 28-Day Mortality of Sepsis Patients Utilizing the MIMIC-III Database.
Computational and mathematical methods in medicine
Oct 13, 2021
In medical visualization, nursing notes contain rich information about a patient's pathological condition. However, they are not widely used in the prediction of clinical outcomes. With advances in the processing of natural language, information begi...
Automatic Classification of Electronic Nursing Narrative Records Based on Japanese Standard Terminology for Nursing.
Computers, informatics, nursing : CIN
May 12, 2021
In Japan, nursing records are not easily put to secondary use because nursing documentation is not standardized. In recent years, electronic health records have necessitated the creation of Japanese nursing terminology. The purpose of this study was ...
Sentiment in nursing notes as an indicator of out-of-hospital mortality in intensive care patients.
PloS one
Jun 7, 2018
BACKGROUND: Nursing notes have not been widely used in prediction models for clinical outcomes, despite containing rich information. Advances in natural language processing have made it possible to extract information from large scale unstructured da...
Quantifying care coordination using natural language processing and domain-specific ontology.
Journal of the American Medical Informatics Association : JAMIA
Oct 16, 2014
OBJECTIVE: This research identifies specific care coordination activities used by Aging in Place (AIP) nurse care coordinators and home healthcare (HHC) nurses when coordinating care for older community-dwelling adults and suggests a method to quanti...
Delirium Identification from Nursing Reports Using Large Language Models.
Studies in health technology and informatics
May 15, 2025
This study investigates large language models for delirium detection from nursing reports, comparing keyword matching, prompting, and finetuning. Using a manually labelled dataset from the University Hospital Freiburg, Germany, we tested Llama3 and P...
Conversion of Nursing Statements into the OMOP Common Data Model.
Studies in health technology and informatics
May 15, 2025
The aim of this study is to convert nursing statements into the OMOP CDM for use in observational studies. We mapped nursing statements to SNOMED CT concepts and converted them into the OMOP CDM format through an ETL process. As a result, approximate...
Development of a Mapping Table for Nursing Notes Based on Nurses' Concerns in ICU Patients.
Studies in health technology and informatics
Jul 24, 2024
This study aimed to develop a mapping table that connects nursing notes with standard terminology, focusing on nurses' concerns for ICU patients. After extracting nursing notes from a publicly accessible database, a research team, including a nursing...
Development of a Nursing Diagnosis/Record Generative AI System Based on Virtual Patient Data.
Studies in health technology and informatics
Jul 24, 2024
This study investigates how to reduce nurses' repetitive electronic nursing record tasks. We applied generative AI by learning nursing record data practiced with virtual patient data. We aim to evaluate generative AI's usefulness, usability, and avai...
Machine Learning-Based Prediction Models of Mortality for Intensive Care Unit Patients Using Nursing Records.
Studies in health technology and informatics
Jul 24, 2024
This study aimed to develop ICU mortality prediction models using a conceptual framework, focusing on nurses' concerns reflected in nursing records from the MIMIC IV database. We included 46,693 first-time ICU admissions of adults over 18 years with ...
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