AI Article Synopsis
- The process of choosing antimicrobial agents in hospitals is mostly done by hand, which can lead to mistakes in drug selection, dosage, and monitoring.
- Current and future strategies involve using technology to enhance the selection process, helping to reduce errors and avoid harmful drug combinations.
- The authors also talk about how decision support tools could help prevent the rise of drug resistance.
Article Abstract
The selection of antimicrobial agents in the hospital setting is still a largely manual task and, therefore, fraught with the potential for error. This includes the choice of agents, dosage regimens, and monitoring for response and toxicity. The authors describe current and future strategies to use information technology to improve the process of antimicrobial selection and to avoid dosing errors and contraindicated drug combinations. The possible role of decision support in preventing the emergence of resistance is also discussed.
Download full-text PDF |
Source |
|---|---|
| http://dx.doi.org/10.1097/00003246-200104001-00006 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Colorimetric Xylenol Orange: A Long-Buried Aggregation-Induced Emission Dye and Restricted Rotation for Dual-Mode Sensing of pH and Metal Ions.
Anal Chem
January 2025
Key Laboratory of Advanced Materials of Tropical Island Resources of Ministry of Education, School of Chemistry and Chemical Engineering, Hainan University, Haikou 570228, China.
As the third largest class of dyes in the world, triphenylmethane dyes are widely applied in colorimetric sensing. However, triphenylmethane dyes are commonly nonfluorescent, which limits their sensing applications. It is worthwhile to study the fluorescence off/on control of triphenylmethane dyes and promote the applications of triphenylmethane dyes in sensing technology.
View Article and Find Full Text PDFOlfactory-Inspired Separation-Sensing Nanochannel-Based Electronics for Wireless Sweat Monitoring.
ACS Nano
January 2025
CAS Key Laboratory of Bio-inspired Materials and Interfacial Science, Technical Institute of Physics and Chemistry, Chinese Academy of Sciences, Beijing 100190, P.R. China.
Human sweat has the potential to be sufficiently utilized for noninvasive monitoring. Given the complexity of sweat secretion, the sensitivity and selectivity of sweat monitoring should be further improved. Here, we developed an olfactory-inspired separation-sensing nanochannel-based electronic for sensitive and selective sweat monitoring, which was simultaneously endowed with interferent separation and target detection performances.
View Article and Find Full Text PDFEnhancing Cannabichromenic Acid Biosynthesis in .
ACS Synth Biol
January 2025
State Key Laboratory of Fine Chemicals, Frontiers Science Centre for Smart Materials Oriented Chemical Engineering, School of Bioengineering, Dalian University of Technology, Dalian 116024, China.
Cannabichromene (CBC), a valuable but extremely low-abundance component of cannabinoids in L., is known for its ability to promote neurogenesis. The scarcity of CBC in natural is primarily attributed to the inefficiency of the 1-deoxy-D-xylulose 5-phosphate/2-C-methyl-D-erythritol 4 phosphate (DOXP/MEP) and fatty acid metabolism pathways, along with the limited competitive advantage of cannabichromenic acid synthetase (CBCAS) compared to other cannabinoid synthases.
View Article and Find Full Text PDFWho becomes an entrepreneur after university? Evidence from Canada.
PLoS One
January 2025
Department of Leadership, Higher, and Adult Education, Ontario Institute for Studies in Education, University of Toronto, Toronto, Ontario, Canada.
In recent decades there has been significant interest among policy makers in supporting entrepreneurship among university students, with the goal to improve labor market outcomes and contribute to the economy through venture creation. Drawing from the 2018 National Graduate Survey in Canada, our study examines who engages in entrepreneurial activity after graduation, investigating differences among demographic groups and between those who participated in entrepreneurship education on campus and those who did not participate. We find that those graduates who participated in entrepreneurship education are more likely to be self-employed and own their own business three years after graduating than the general population of university graduates.
View Article and Find Full Text PDFThis study introduces a high-resolution wind nowcasting model designed for aviation applications at Madeira International Airport, a location known for its complex wind patterns. By using data from a network of six meteorological stations and deep learning techniques, the produced model is capable of predicting wind speed and direction up to 30-minute ahead with 1-minute temporal resolution. The optimized architecture demonstrated robust predictive performance across all forecast horizons.
View Article and Find Full Text PDFWant AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!