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Usability of a Cloud-Based Home Healthcare Client Monitoring Platform: A Simulation-Based Approach.
Rehabil Nurs
December 2024
Elaine Marieb College of Nursing, University of Massachusetts Amherst, Amherst, MA, USA.
Purpose: The aim of this study was to assess the usability of a cloud-based home healthcare monitoring platform (CHHM).
Design: A proof of concept using a simulated client scenario was used in this study.
Methods: Using a mixed-methods approach, a convenience sample of 14 nursing students was used to assess the usability of CHHM during a simulation.
Due to its heavy reliance on convenience samples (CSs), developmental science has a generalizability problem that clouds its broader applicability and frustrates replicability. The surest solution to this problem is to make better use, where feasible, of probability samples, which afford clear generalizability. Because CSs that are homogeneous on one or more sociodemographic factor may afford a clearer generalizability than heterogeneous CSs, the use of homogeneous CSs instead of heterogeneous CSs may also help mitigate this generalizability problem.
View Article and Find Full Text PDFContinuous Glucose Monitoring Attrition in Youth With Type 1 Diabetes.
Sci Diabetes Self Manag Care
January 2025
Division of Endocrinology and Diabetes, Children's Hospital of Philadelphia, Philadelphia, Pennsylvania.
Purpose: The purpose of the study was to identify the most common reasons for and timing of continuous glucose monitoring (CGM) attrition in youth with type 1 diabetes (T1DM).
Methods: This single center retrospective chart review included youth with T1DM <22 years seen between November 1, 2021, and October 31, 2022. Data were gathered from CGM cloud-based software and the electronic medical record.
Optimization of protocol for analysis of dicarboxylic acids in ambient aerosol samples using GC-MS: method comparison and application.
Environ Monit Assess
January 2025
Department of Civil Engineering, APTL, Centre for Environmental Science and Engineering (CESE), IIT Kanpur, Kanpur, 208016, UP, India.
Dicarboxylic acids (DCAs), with their deliquescence and hygroscopic nature, can function as cloud condensation nuclei (CCN) and ice nuclei (IN), affecting rainfall patterns. DCA analysis can serve as organic molecular markers for anthropogenic and biogenic sources. Very few studies deal with the optimization of the protocol for qualitative and quantitative analysis of DCAs using gas chromatography-mass spectrometry (GC-MS).
View Article and Find Full Text PDFAssuring assistance to healthcare and medicine: Internet of Things, Artificial Intelligence, and Artificial Intelligence of Things.
Front Artif Intell
December 2024
Hospital and Rehabilitation Centre for the Disabled Children (HRDC), Banepa, Nepal.
Introduction: The convergence of healthcare with the Internet of Things (IoT) and Artificial Intelligence (AI) is reshaping medical practice with promising enhanced data-driven insights, automated decision-making, and remote patient monitoring. It has the transformative potential of these technologies to revolutionize diagnosis, treatment, and patient care.
Purpose: This study aims to explore the integration of IoT and AI in healthcare, outlining their applications, benefits, challenges, and potential risks.
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