Background: Medication errors are a leading cause of increased cost and iatrogenic injury in the pediatric population. In the academic setting, studies have suggested that these increased error rates are related primarily to resident inexperience, thus advocating a higher level of supervision.
Study Objective: We sought to identify the number of prescription errors in our institution's academic Emergency Department, how this varied between the beginning and end of the academic year and between practitioners at varying levels of training.
Methods: A retrospective review of computer-based outpatient prescriptions for children aged 0-12 years old was performed. Outpatient prescriptions were reviewed during a 2-week time block at the end of the academic year and beginning of the academic year (109 [June] and 111 [July] data sets, respectively). Prescriptions were retrieved electronically and reviewed for appropriate dosing. Errors were defined as those that varied>10% above or below recommended weight-based dosing.
Results: Twenty-nine (16.1%) of 180 written prescription orders were determined to be incorrectly written. Error rates were not significantly different between the beginning and end of the academic year. In both sampling periods, a higher percentage were found to be derived from senior level practitioners in both data sets (9/14 and 10/15; respectively), but few of these were considered high-grade prescription errors.
Conclusions: Overall prescription error rates at our institution are comparable to nationally reported error rates in children. Error rates were not associated with newly matriculated residents. These findings dispute previously held opinion that physician level of training is a factor of prescription errors.
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http://dx.doi.org/10.1016/j.jemermed.2012.01.016 | DOI Listing |
3D Print Med
January 2025
Department of Surgical & Interventional Engineering, School of Biomedical Engineering and Imaging Sciences, King's College London, London, UK.
Background: Penile implant surgery is the standard surgical treatment for end-stage erectile dysfunction. However, the growing complexity of modern high-tech penile prostheses has increased the demand for more practical training opportunities. The most advanced contemporary training methods involve simulation training using cadavers, with costs exceeding $5,000 per cadaver, inclusive of biohazard fees.
View Article and Find Full Text PDFVariant calling using long-read RNA sequencing (lrRNA-seq) can be applied to diverse tasks, such as capturing full-length isoforms and gene expression profiling. It poses challenges, however, due to higher error rates than DNA data, the complexities of transcript diversity, RNA editing events, etc. In this paper, we propose Clair3-RNA, the first deep learning-based variant caller tailored for lrRNA-seq data.
View Article and Find Full Text PDFTaiwan J Ophthalmol
January 2024
Department of Ophthalmology, National Taiwan University Hospital, Yunlin Branch, Yunlin, Taiwan.
Purpose: The aim of this study was to propose a simplified segmental scleral buckling (SSSB) technique that does not require break localization for less-experienced vitreoretinal surgeons.
Materials And Methods: This retrospective study compared the clinical results of 46 conventional and 23 SSSB (conventional segmental SB [CSSB] and SSSB, respectively) procedures in a tertiary referral retinal center in Taiwan between 2008 and 2019. In the CSSB group, breaks were localized during surgery.
Ensuring trustworthiness is fundamental to the development of artificial intelligence (AI) that is considered societally responsible, particularly in cancer diagnostics, where a misdiagnosis can have dire consequences. Current digital pathology AI models lack systematic solutions to address trustworthiness concerns arising from model limitations and data discrepancies between model deployment and development environments. To address this issue, we developed TRUECAM, a framework designed to ensure both data and model trustworthiness in non-small cell lung cancer subtyping with whole-slide images.
View Article and Find Full Text PDFHardwareX
March 2025
INRAE - French National Research Institute for Agriculture, Food and Environment, REVERSAAL Research Unit, 5 rue de la Doua, CS 20244, 69625 Villeurbanne Cedex, France.
Sensors play an important role in both the continuous monitoring and intermittent analyses, which are essential for the study of wastewater treatment plant management and conducting related research. Given the significant environmental impact of the issues involved, accurate measurement of the volume of water flowing into and out of treatment plants is a key parameter for plant management, ecotoxicological studies and academic research programs. Traditionally, flow measurements have been based on calibrated weirs or venturi flumes, using water level measurements for conversion into flow, according to established relationships.
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