Objective: This study aimed to explore the utilization of a fine-tuned language model to extract expressions related to the Age-Friendly Health Systems 4M Framework (What Matters, Medication, Mentation, and Mobility) from nursing home worker text messages, deploy automated mapping of these expressions to a taxonomy, and explore the created expressions and relationships.
Materials And Methods: The dataset included 21 357 text messages from healthcare workers in 12 Missouri nursing homes. A sample of 860 messages was annotated by clinical experts to form a "Gold Standard" dataset.
Background: Neonatal advanced practice providers (APPs) often work prolonged hours in high-acuity neonatal intensive care units (NICUs). It is imperative to understand how fatigue affects the APP's ability to react quickly following long shifts. There is a lack of data on the effects of shift length and fatigue on neonatal APP job performance and clinical decision-making.
View Article and Find Full Text PDFUnlabelled: We conducted a six-center, prospective, randomized, open-label trial to assess whether an early standardized educational protocol provided from 42 to 48 months of age improved the progression of oral language and phonological development in children born preterm. A total of 552 children with phonological fragility were included in this study. The children were randomized to receive the educational protocol (guided arm, = 87) or not (non-guided arm, = 78).
View Article and Find Full Text PDFBackground: Cardiovascular (CV) disease is the leading cause of death among U.S. women, yet women have a limited understanding of their CV-related morbidity and mortality risks.
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