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A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment
Published on: January 11, 2020
Aging population
Deborah Ellison1, Danielle White1, Francisca Cisneros Farrar1
1School of Nursing, Austin Peay State University, PO Box 4658, Clarksville, TN 37044, USA.
Abstract:
Our aging population is rapidly growing and accounts for 46% of critical care patients and 60% of medical-surgical patients in the hospital. These acutely ill patients are challenging to frontline nurses because they frequently have multiple chronic conditions. This article provides a tool kit of resources and clinical skills to develop safe, quality, and accountable care plans for positive patient outcomes; it presents several resources to assist in individualized care, the complexity of care, and the issues of transitions of care. This article empowers frontline nurses to develop gerontological skills and meet the unique needs of our aging population.
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