This descriptive research study examined adaptation to advances in technology by healthcare technology management (HTM) departments in U.S.-based healthcare delivery organizations (HDOs). HDOs that have made or are making significant changes to address this technology evolution were identified through discussions with subject matter experts. Interviews were conducted with HDO leaders responsible for patient care technology and systems. The research described here examined drivers of change, response to change, evolution of strategies, and directions forward. This article shares common and unique interventions for the future of the HTM field, patterns and approaches for adapting to the evolution in health technology, and lessons learned from the research.
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http://dx.doi.org/10.2345/0899-8205-54.2.119 | DOI Listing |
BMC Public Health
January 2025
Department of Endocrinology, Lishui People's Hospital, Lishui, Zhejiang, China.
Background: Self-care, a process of maintaining health through health-promoting practices and managing illness, is pivotal for the management of type 2 diabetes. This study aimed to explore the self-care level and investigate its socio-demographic and clinical determinants among Chinese adults with type 2 diabetes.
Methods: In this multicenter cross-sectional study, we enrolled 495 Chinese adults with type 2 diabetes from the outpatient departments of three tertiary hospitals in Zhejiang province, China.
BMC Pregnancy Childbirth
January 2025
Department of Child Healthcare, Changsha City Maternal and Child Health Care Hospital, Chengnan East Road No.416, Yuhua District, Changsha, 410007, China.
Background: Birth weight is a critical indicator for assessing fetal development and newborn health status. This study aimed to examine both linear and nonlinear associations between maternal age and birth weight and their related adverse outcomes.
Methods: 15,923 delivery data from 2018 to 2021 for pregnant women from the Changsha Maternal and Child Health Care Hospital were reviewed by a retrospective study.
BMC Nephrol
January 2025
Department of Nephrology-Dialysis-Transplantation, University of Liège, CHU Sart Tilman, Liège, Belgium.
Background: Creatinine-based estimated glomerular filtration rate (eGFR) equations are widely used in clinical practice but exhibit inherent limitations. On the other side, measuring GFR is time consuming and not available in routine clinical practice. We developed and validated machine learning models to assess the trustworthiness (i.
View Article and Find Full Text PDFJMIR Form Res
January 2025
Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, United Kingdom.
Background: The symptoms and associated characteristics of attention-deficit/hyperactivity disorder (ADHD) are typically assessed in person at a clinic or in a research lab. Mobile health offers a new approach to obtaining additional passively and continuously measured real-world behavioral data. Using our new ADHD remote technology (ART) system, based on the Remote Assessment of Disease and Relapses (RADAR)-base platform, we explore novel digital markers for their potential to identify behavioral patterns associated with ADHD.
View Article and Find Full Text PDFSci Rep
January 2025
School of Public Health, North China University of Science and Technology, No. 21 Bohai Avenue, Caofeidian New City, Tangshan City, 063210, Hebei Province, China.
This study aims to explore the association between the triglyceride-glucose (TyG) index and the risk of carotid atherosclerosis (CAS) among Chinese steelworkers. This is a cross-sectional study involving a total of 4,203 Chinese steelworkers. The TyG index was calculated using the formula: TyG = Ln [fasting triglycerides (mg/dL) × fasting glucose (mg/dL) / 2].
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