Results 281 to 290 of about 528,791 (356)

High prevalence of medication errors in a secondary-level Lithuanian hospital: A prospective cross-sectional observational study. [PDF]

Pharmacol Res Perspect
Butauskaite J, Zumbakyte A, Aukstikalne L, Pancere J, Zukaitiene S, Karinauske E.   +5 more
europepmc   +1 more source

Clinical Pharmacology and Reducing Medication Errors

, 2002
David M. Benjamin, Günther Hochhaus
openalex   +1 more source

Fast, automated optimization of virtual monoenergetic images with the dual‐energy image synthesizer for cone‐beam CT

Journal of Applied Clinical Medical Physics, EarlyView.
Abstract Background Dual‐energy cone‐beam CT (DE‐CBCT) has become subject of recent interest due to the ability to produce virtual monoenergetic images (VMIs) with improved soft‐tissue contrast and reduced nonuniformity artifacts. However, efficient production and optimization of VMIs remains an under‐explored part of DE‐CBCT's application.
Andrew Keeler, Jason Luce, Mathias Lehmann, John C. Roeske, Hyejoo Kang   +4 more
wiley   +1 more source

A large dataset of annotated incident reports on medication errors. [PDF]

Sci Data
Wong ZSY, Waters N, Liu J, Ushiro S.
europepmc   +1 more source

Comprehensive clinical evaluation of novel 4DCT‐based lung function imaging methods

Journal of Applied Clinical Medical Physics, EarlyView.
Abstract Purpose Methods have been developed that apply image processing to 4DCTs to generate 4DCT‐ventilation/perfusion lung imaging. Traditional methods for 4DCT‐ventilation rely on Hounsfield‐Unit (HU) density‐change methods and suffer from poor numerical robustness while not providing 4DCT‐perfusion data.
Ehsan Golkar, Taindra Neupane, Lydia Wilson, Jennifer Kwak, Richard Castillo, Edward Castillo, Yevgeniy Vinogradskiy   +6 more
wiley   +1 more source

Exploring the reasons for self-administration medication errors among illiterate and low-literate community-dwelling older adults with polypharmacy: a qualitative study. [PDF]

BMC Geriatr
Ghassab-Abdollahi N, Ghorbani Z, Kheirollahi N, Nadrian H, Hashemiparast M.   +4 more
europepmc   +1 more source

Open‐source deep‐learning models for segmentation of normal structures for prostatic and gynecological high‐dose‐rate brachytherapy: Comparison of architectures

Journal of Applied Clinical Medical Physics, EarlyView.
Abstract Background The use of deep learning‐based auto‐contouring algorithms in various treatment planning services is increasingly common. There is a notable deficit of commercially or publicly available models trained on large or diverse datasets containing high‐dose‐rate (HDR) brachytherapy treatment scans, leading to poor performance on images ...
Andrew J. Krupien, Yasin Abdulkadir, Dishane C. Luximon, John Charters, Huiming Dong, Jonathan Pham, Dylan O'Connell, Jack Neylon, James M. Lamb   +8 more
wiley   +1 more source

Factors influencing the reporting of medication errors and near misses among nurses: A systematic mixed methods review. [PDF]

Int J Nurs Pract
Braiki R, Douville F, Gagnon MP.
europepmc   +1 more source

An extension to the OVH concept for knowledge‐based dose volume histogram prediction in lung tumor volumetric‐modulated arc therapy

Journal of Applied Clinical Medical Physics, EarlyView.
Abstract Purpose Volumetric‐modulated arc therapy (VMAT) treatment planning allows a compromise between a sufficient coverage of the planning target volume (PTV) and a simultaneous sparing of organs‐at‐risk (OARs). Particularly in the case of lung tumors, deciding whether it is possible or worth spending more time on further improvements of a treatment
Johann Brand, Juliane Szkitsak, Oliver J. Ott, Christoph Bert, Stefan Speer   +4 more
wiley   +1 more source

Predisposing Factors to Medication Errors by Nurses and Prevention Strategies: A Scoping Review of Recent Literature. [PDF]

Nurs Rep
Coelho F, Furtado L, Mendonça N, Soares H, Duarte H, Costeira C, Santos C, Sousa JP.   +7 more
europepmc   +1 more source