Background: Point-of-care ultrasound (POCUS) is becoming prevalent in the daily practice of bedside clinicians. As large health care systems standardize practice patterns, an organized approach of credentialing physicians in POCUS is paramount for quality and patient safety. This study describes a systematic approach of credentialing a diverse group of community emergency physicians (EPs) across a large health care system.
Methods: A multimodal POCUS credentialing initiative for EPs was implemented across 11 hospitals between January 1, 2017, and July 1, 2018, that included (1) standardization of POCUS credentialing for all hospitals in the system, (2) tiered POCUS credentialing (Basic and Intermediate) for manageable attainment of goals with a required POCUS course, (3) automatic privileges for EPs who completed residency or practice-based POCUS pathways prior to employment, and (4) implementation of a practice-based pathway for competency assessment for noncredentialed physicians. Key factors for implementation included executive administrative support, dedicated POCUS courses, equipment standardization, a robust electronic medical record capable of logging training scans, and competency assessment for attainment of privileges.
Results: Through the initiative, 78/106 EPs achieved Intermediate credentialing, and 28/106 were without POCUS privileges. All 28 noncredentialed EPs completed the required Basic POCUS course. Almost half (13/28) completed the initiative and became credentialed. From 2016 to 2018, the number of EPs performing scans increased from 52 to 112, and the number of POCUS scans increased from 928 to 3,007.
Conclusion: A standardized POCUS credentialing initiative can be successfully implemented in large health care systems. Other specialties can use this initiative to implement POCUS into their daily practice.
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http://dx.doi.org/10.1016/j.jcjq.2020.03.009 | DOI Listing |
J Pediatr Nurs
January 2025
Department of Nursing, School of Health Rehabilitation Sciences, University of Patras, Nikolaou Gizi 4, Patras, Greece.
Background: People with cerebral palsy are largely dependent on their caregivers, who are most often members of their family. Caring for people with disabilities can be challenging as both dependents and caregivers face problems of social isolation and stigmatization.
Aim: The aim of this study was to understand the experiences of caregivers of dependents with cerebral palsy in Greece.
J Med Internet Res
January 2025
Department of Neurology, West China Hospital, Sichuan University, Chengdu, China.
Background: Despite the increasing popularity of electronic devices, the longitudinal effects of daily prolonged electronic device usage on brain health and the aging process remain unclear.
Objective: The aim of this study was to investigate the impact of the daily use of mobile phones/computers on the brain structure and the risk of neurodegenerative diseases.
Methods: We used data from the UK Biobank, a longitudinal population-based cohort study, to analyze the impact of mobile phone use duration, weekly usage time, and playing computer games on the future brain structure and the future risk of various neurodegenerative diseases, including all-cause dementia (ACD), Alzheimer disease (AD), vascular dementia (VD), all-cause parkinsonism (ACP), and Parkinson disease (PD).
JMIR Res Protoc
January 2025
Psychiatry Department, Weill Cornell Medicine, New York, NY, United States.
Background: Mental illness is one of the top causes of preventable pregnancy-related deaths in the United States. There are many barriers that interfere with the ability of perinatal individuals to access traditional mental health care. Digital health interventions, including app-based programs, have the potential to increase access to useful tools for these individuals.
View Article and Find Full Text PDFJ Med Internet Res
January 2025
Division of Surgery & Interventional Science, Faculty of Medical Sciences, University College London, London, United Kingdom.
Background: The literature is equivocal as to whether the predicted negative mental health impact of the COVID-19 pandemic came to fruition. Some quantitative studies report increased emotional problems and depression; others report improved mental health and well-being. Qualitative explorations reveal heterogeneity, with themes ranging from feelings of loss to growth and development.
View Article and Find Full Text PDFInteract J Med Res
January 2025
Medical Directorate, Lausanne University Hospital, Lausanne, Switzerland.
Large language models (LLMs) are artificial intelligence tools that have the prospect of profoundly changing how we practice all aspects of medicine. Considering the incredible potential of LLMs in medicine and the interest of many health care stakeholders for implementation into routine practice, it is therefore essential that clinicians be aware of the basic risks associated with the use of these models. Namely, a significant risk associated with the use of LLMs is their potential to create hallucinations.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!