AIMC Topic: Electronic Health Records
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Ambient artificial intelligence scribes: physician burnout and perspectives on usability and documentation burden.
Journal of the American Medical Informatics Association : JAMIA
Feb 1, 2025
OBJECTIVE: This study evaluates the pilot implementation of ambient AI scribe technology to assess physician perspectives on usability and the impact on physician burden and burnout.
LCD benchmark: long clinical document benchmark on mortality prediction for language models.
Journal of the American Medical Informatics Association : JAMIA
Feb 1, 2025
OBJECTIVES: The application of natural language processing (NLP) in the clinical domain is important due to the rich unstructured information in clinical documents, which often remains inaccessible in structured data. When applying NLP methods to a c...
Identifying stigmatizing and positive/preferred language in obstetric clinical notes using natural language processing.
Journal of the American Medical Informatics Association : JAMIA
Feb 1, 2025
OBJECTIVE: To identify stigmatizing language in obstetric clinical notes using natural language processing (NLP).
Unveiling sub-populations in critical care settings: a real-world data approach in COVID-19.
Frontiers in public health
Jan 1, 2025
BACKGROUND: Disease presentation and progression can vary greatly in heterogeneous diseases, such as COVID-19, with variability in patient outcomes, even within the hospital setting. This variability underscores the need for tailored treatment approa...
Using Natural Language Processing and Machine Learning to classify the status of kidney allograft in Electronic Medical Records written in Spanish.
PloS one
Jan 1, 2025
INTRODUCTION: Accurate identification of graft loss in Electronic Medical Records of kidney transplant recipients is essential but challenging due to inconsistent and not mandatory International Classification of Diseases (ICD) codes. We developed an...
AI-driven report-generation tools in mental healthcare: A review of commercial tools.
General hospital psychiatry
Jan 1, 2025
Artificial intelligence (AI) systems are increasingly being integrated in clinical care, including for AI-powered note-writing. We aimed to develop and apply a scale for assessing mental health electronic health records (EHRs) that use large language...
Identifying protected health information by transformers-based deep learning approach in Chinese medical text.
Health informatics journal
Jan 1, 2025
In the context of Chinese clinical texts, this paper aims to propose a deep learning algorithm based on Bidirectional Encoder Representation from Transformers (BERT) to identify privacy information and to verify the feasibility of our method for pri...
Current Use And Evaluation Of Artificial Intelligence And Predictive Models In US Hospitals.
Health affairs (Project Hope)
Jan 1, 2025
Effective evaluation and governance of predictive models used in health care, particularly those driven by artificial intelligence (AI) and machine learning, are needed to ensure that models are fair, appropriate, valid, effective, and safe, or FAVES...
Prediction of Cisplatin-Induced Acute Kidney Injury Using an Interpretable Machine Learning Model and Electronic Medical Record Information.
Clinical and translational science
Jan 1, 2025
Predicting cisplatin-induced acute kidney injury (Cis-AKI) before its onset is important. We aimed to develop a predictive model for Cis-AKI using patient clinical information based on an interpretable machine learning algorithm. This single-center r...
Natural Language Processing to Identify Infants Aged 90 Days and Younger With Fevers Prior to Presentation.
Hospital pediatrics
Jan 1, 2025
OBJECTIVE: Natural language processing (NLP) can enhance research studies for febrile infants by more comprehensive cohort identification. We aimed to refine and validate an NLP algorithm to identify and extract quantified temperature measurements fr...
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