Lack of verification is often cited as a root cause of medication errors; however, medication errors occur in spite of conventional verification practices and it appears that human factors engineering (HFE) can inform the design of a more effective method. To this end, an HFE-driven process was designed and implemented in an urban, Midwestern emergency medical service agency. Medication error data were collected over a 54-month period, 27 months before and after implementation. A decrease in the average monthly error rate was realized for all medications administered (49.0%) during the post-intervention time period. The average monthly error rate for fentanyl, a commonly administered analgesic, demonstrated a 71.1% error rate decrease. This study is the first to evaluate the effectiveness of a team-based cross-check process for medication verification to prevent errors in the prehospital setting.
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http://dx.doi.org/10.1177/2042098618821916 | DOI Listing |
Proc Natl Acad Sci U S A
February 2025
Courant Institute for Mathematical Sciences and Department of Biology, New York University, New York, NY 10012.
Accurate chromosome segregation in mitosis depends on proper connections of sister chromatids, through microtubules, to the opposite poles of the early mitotic spindle. Transiently, many inaccurate connections are formed and rapidly corrected throughout the mitotic stages, but a small number of merotelic connections, in which a chromatid is connected to both spindle poles, remain lagging at the spindle's equator in anaphase. Most of the lagging chromatids are eventually moved to one or the other pole, likely by a combination of microtubules' turnover and the brute force of pulling by the microtubules' majority from the one pole against the microtubules' minority from the other pole.
View Article and Find Full Text PDFPLoS One
January 2025
College of Education for the Future, Beijing Normal University, Zhuhai, Guangdong, China.
Personalized sports training plans are essential for addressing individual athlete needs, but traditional methods often need to integrate diverse data types, limiting adaptability and effectiveness. Existing machine learning (ML) and rule-based approaches cannot dynamically generate context-specific training programs, reducing their applicability in real-world scenarios. This study aims to develop a Generative Adversarial Network (GAN)- based framework to create context-specific training plans by integrating numeric attributes (e.
View Article and Find Full Text PDFEnviron Technol
January 2025
Centre for Biotechnology, Kalasalingam Academy of Research and Education, Krishnankoil, India.
Biokinetic models can optimise pollutant degradation and enhance microbial growth processes, aiding to protect ecosystem protection. Traditional biokinetic approaches (such as Monod, Haldane, etc.) can be challenging, as they require detailed knowledge of the organism's metabolism and the ability to solve numerous kinetic differential equations based on the principles of micro, molecular biology and biochemistry (first engineering principles) which can lead to discrepancies between predicted and actual degradation rates.
View Article and Find Full Text PDFEnviron Technol
January 2025
Shaanxi Huashan Road and Bridge Group Co., Ltd., Xi'an, People's Republic of China.
Due to the rapid development of urbanisation, cities frequently experience waterlogging during rainfall. Rain gardens are widely used in new urban construction because they effectively control surface runoff from rainwater, thereby reducing waterlogging. The runoff control effectiveness of rain gardens is influenced by multiple factors.
View Article and Find Full Text PDFTraffic Inj Prev
January 2025
Department of Civil Engineering, Indian Institute of Technology, Indore, India.
Objective: The study aims to develop continuous trajectory profiles along curves with minimal error. It also focuses on formulating a percentage trajectory transection rate model as a function of geometric parameters (e.g.
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