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http://dx.doi.org/10.1177/0141076820974998 | DOI Listing |
J Nurs Adm
December 2024
Author Affiliations: Assistant Professor (Dr Hickman), Assistant Professor (Dr Petri), and Coordinator (Connors), University of Maryland School of Nursing, Baltimore.
Objective: To describe practicum experiences as perceived by nurse leader preceptors of graduate students in a nursing administration practicum.
Background: Practicum experiences in graduate nursing administration programs provide students with exposure to the real-life experiences of nurse leaders, bridging the gap between academic knowledge gained and the application of that information to the workplace. The literature lacks best practices for graduate nursing administration practicum experiences.
Objective: The incidence of noncommunicable diseases (NCDs) is increasing in low- and middle-income countries and represents a major public health challenge. Herein, we present Japan's experience in training medical coordinators to combat NCDs, with a focus on hepatitis, early-onset dementia, and children with medical complexity. Coordinators play an important role in bridging the gap between patients and healthcare services.
View Article and Find Full Text PDFF S Rep
December 2024
Northwell, New Hyde Park, New York.
Devices that function within a network of interconnected systems and are equipped with sensors, software, and tools designed to collect and exchange data are widely known as the Internet of Things (IoT). In recent years, the rapid growth of IoT technology has sparked significant interest in leveraging these systems to enhance healthcare delivery across various medical fields, including fertility care and assisted reproductive technology. The subset of IoT devices applied within the healthcare sector is referred to as the Internet of Medical Things (IoMT).
View Article and Find Full Text PDFR Soc Open Sci
January 2025
Centre for Machine Intelligence, The University of Sheffield, Sheffield S1 3JD, UK.
Artificial intelligence is transforming the way we work with information across disciplines and practical contexts. A growing range of disciplines are now involved in studying, developing and assessing the use of AI in practice, but these disciplines often employ conflicting understandings of what AI is and what is involved in its use. New, interdisciplinary approaches are needed to bridge competing conceptualizations of AI in practice and help shape the future of AI use.
View Article and Find Full Text PDFNat Med
January 2025
Google Research, Mountain View, CA, USA.
Large language models (LLMs) have shown promise in medical question answering, with Med-PaLM being the first to exceed a 'passing' score in United States Medical Licensing Examination style questions. However, challenges remain in long-form medical question answering and handling real-world workflows. Here, we present Med-PaLM 2, which bridges these gaps with a combination of base LLM improvements, medical domain fine-tuning and new strategies for improving reasoning and grounding through ensemble refinement and chain of retrieval.
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