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Clinical entity-aware domain adaptation in low resource setting for inflammatory bowel disease.
Front Artif Intell
January 2025
Language Intelligence and Information Retrieval (LIIR) Lab, Department of Computer Science, KU Leuven, Leuven, Belgium.
The digitization of healthcare records has revolutionized medical research and patient care, with electronic health records (EHRs) containing a wealth of structured and unstructured data. Extracting valuable information from unstructured clinical text presents a significant challenge, necessitating automated tools for efficient data mining. Natural language processing (NLP) methods have been pivotal in this endeavor, aiming to extract crucial clinical concepts embedded within free-form text.
View Article and Find Full Text PDFTemporal variations in and predictive values of ABG results prior to in-hospital cardiac arrest.
J Med Surg Public Health
December 2024
College of Nursing, Michigan State University, Michigan, Life Science, 1355 Bogue St Room A218, East Lansing, MI 48824, USA.
In-hospital cardiac arrest (IHCA) has been understudied relative to out-of-hospital cardiac arrest. Further, studies of IHCA have mainly focused on a limited number of pre-arrest patient characteristics (e.g.
View Article and Find Full Text PDFDevelopment of Attention-based Prediction Models for All-cause Mortality, Home Care Need, and Nursing Home Admission in Ageing Adults in Spain Using Longitudinal Electronic Health Record Data.
J Med Syst
January 2025
Unitat de Suport a la Recerca Metropolitana Nord, Institut Universitari d'Investigació en Atenció Primària Jordi Gol (IDIAP Jordi Gol), C/ Mare de Déu de Guadalupe, 2, Mataró, 08303, Barcelona, Spain.
Predicting health-related outcomes can help with proactive healthcare planning and resource management. This is especially important on the older population, an age group growing in the coming decades. Considering longitudinal rather than cross-sectional information from primary care electronic health records (EHRs) can contribute to more informed predictions.
View Article and Find Full Text PDFThe electronic health record as an interactional and epistemic resource: Insights from pediatric well-child visits.
Patient Educ Couns
January 2025
Department of Education Studies, University of Bologna, Via Filippo Re 6, Bologna, 40126, Italy. Electronic address:
Objective: Electronic health records (EHRs) have increasingly become integral to contemporary medical consultations, including pediatric care. This study aims at exploring the interactional use of the EHR during naturally occurring pediatric well-child visits, focusing specifically on how pediatricians and parents manage knowledge concerning infants' growth inscribed in the EHR.
Methods: Conversation analysis is used to analyze 23 video-recorded Italian well-child visits involving two pediatricians and twenty-two families with children aged 0-18 months.
Lower electronic health record adoption and interoperability in rural versus urban physician participants: a cross-sectional analysis from the CMS quality payment program.
BMC Health Serv Res
January 2025
Department of Internal Medicine, College of Medicine, University of Nebraska Medical Center, Omaha, NE, USA.
Background: The Health Information Technology for Economic and Clinical Health Act of 2009 introduced the Meaningful Use program to incentivize the adoption of electronic health records (EHRs) in the U.S. This study investigates the disparities in EHR adoption and interoperability between rural and urban physicians in the context of federal programs like the Medicare Access and CHIP Reauthorization Act of 2015 and the 21st Century Cures Act.
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