Publications by authors named "R A E Austin"

Introduction: Glucagon-like peptide 1 (GLP-1) agonists are an effective medication for glycemic control and weight loss. These effects may reduce complications in diabetic patients undergoing total hip arthroplasty (THA). However, there remains a paucity of data on the impact of GLP-1 medications in non-diabetic patients using the medication solely for weight reduction.

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Background: Knee arthroplasty research continues to shape the field by improving both clinical practice and patient outcomes. The H-index is one metric that combines publication quantity and citation output in an attempt to quantify the impact of an author's research work. We aimed to assess the relative research impact of members of the Knee Society by comparing their H-indices and other research metrics to authors of the most cited knee arthroplasty publications.

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Background: Although electronic health record nursing summaries aim to provide a concise overview of patient data, they often fall short of meeting nurses' information needs, leading to underutilization. This gap arises from a lack of involvement of nurses in the design of health information technologies.

Objective: The purpose of this exploratory co-design case study was to solicit insights from nurses regarding nursing summary design considerations, including key information types and the preferred design prototype.

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Purified alkane monooxygenase (AlkB) from (FtAlkB) catalyzes the defluorination of 1-fluorooctane, producing octanal, which is partially reduced under the reaction conditions to generate 1-octanol. This reaction occurs preferentially at the monofluorinated methyl group, with only a minor amount of oxidation at the nonfluorinated end of the molecule. The dehalogenation chemistry is specific to 1-fluorooctane, as neither 1-chlorooctane or 1-bromooctane are dehalogenated to an appreciable extent.

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Artificial intelligence and other digital health technologies may optimize nurses' work. Therefore, we aimed to examine the roles of nurses in facilitating the adoption of digital health technologies and identify opportunities for these technologies to reduce burnout. We conducted a cross-sectional survey study focused on nurses' use of digital health and artificial intelligence technology with nursing informaticists.

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