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Alerts are a common functionality of clinical decision support systems (CDSSs). Although they have proven to be useful in clinical practice, the alert burden can lead to alert fatigue and significantly reduce their usability and acceptance. Based on a literature review, we propose a unified framework consisting of a set of meaningful timestamps that allows the use of state-of-the-art measures for alert burden, such as alert dwell time, alert think time, and response time. In addition, it can be used to investigate other measures that could be relevant as regards dealing with this problem. Furthermore, we provide a case study concerning three different types of alerts to which the framework was successfully applied. We consider that our framework can easily be adapted to other CDSSs and that it could be useful for dealing with alert burden measurement thus contributing to its appropriate management.
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http://dx.doi.org/10.1016/j.jbi.2023.104397 | DOI Listing |
AACN Adv Crit Care
September 2025
Nathaniel M. Sims is Research Faculty, Department of Anesthesia, Mass General Brigham (MGB). Associate Professor, Harvard Medical School. Newbower/Eitan MGH Endowed Chair in Biomedical Technology Innovation. Physician Advisor, MGB Biomedical Engineering, Boston, Massachusetts.
Secondary medication delivery using large-volume smart pumps offers important workflow and safety benefits. However, the widely used linear peristaltic large-volume smart pumps rely on sufficient head-height differential for accurate secondary infusion, leading to underdelivery risks. This article outlines common clinician workarounds used to mitigate these risks, including delivering secondary medications via primary mode, programming excess volume to be infused, clamping primary lines, and using short-set primary delivery.
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September 2025
Karen K. Giuliano is Professor, Institute for Applied Life Sciences and Elaine Marieb College of Nursing, and Codirector, Elaine Marieb Center for Nursing and Engineering Innovation, University of Massachusetts Amherst, Amherst, Massachusetts.
Intravenous smart pump alarm fatigue remains a persistent and underrecognized patient safety concern in acute and critical care settings. Although alarm fatigue has been traditionally associated with physiological monitors, intravenous smart pumps are also a frequent source of alarms for hospitalized patients that contribute substantially to alarm fatigue. This article synthesizes current evidence on intravenous smart pumps and related alarm fatigue, identifies knowledge gaps, and proposes short-term and long-term interventions.
View Article and Find Full Text PDFAdv Healthc Mater
September 2025
State Key Laboratory of Robotics and System, Harbin Institute of Technology, Harbin, 150001, P. R. China.
Plantar wounds, particularly diabetic foot ulcers (DFUs), impose significant burdens on patients' quality of life and healthcare systems. Personalized wound management demands real-time monitoring of biomechanical parameters and effective therapeutic interventions to prevent exacerbations. Here, a dual-layer flexible liquid metal fiber (LMF) capable of simultaneous plantar pressure sensing and electrical stimulation for accelerated wound healing is presented.
View Article and Find Full Text PDFInt J Tuberc Lung Dis
August 2025
Central TB Division, Ministry of Health and Family Welfare, New Delhi, India.
Nutrients
August 2025
Pôle EDIN, Institut de Recherche Expérimentale et Clinique, UCLouvain, 1200 Brussels, Belgium.
Severe hypoglycemia (SH) is a critical complication in children and adolescents with type 1 diabetes (T1D), associated with cognitive impairment, coma, and significant psychosocial burden. Despite advances in glucose monitoring, predicting SH remains challenging, as most models focus on milder hypoglycemic events. To develop a machine learning model for early prediction of SH using continuous glucose monitoring (CGM) data in children and adolescent T1D patients.
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