In recent years, hospitals have routinely implemented antimicrobial stewardship (AS) programs, and it is important that these programs are effective. Consequently, we utilized a customized computer system to support infection management and implemented a pharmacist-driven AS program in our hospital. Using this computer system, a pharmacist monitored the daily usage of carbapenems and agents against anti-methicillin-resistant Staphylococcus aureus and generated a patient database. With the use of this computer system, we found that the patient database entry time significantly decreased from 24 to 12 min (p<0.01). Subsequently, we were also able to monitor tazobactam/piperacillin usage owing to the increased efficiency of our AS program. As a result, the average number of monitored patients significantly increased from 51 to 72 per month (p<0.01) and the number of proposed prescriptions increased from 189 to 238 per year. Additionally, the usage of carbapenems and tazobactam/piperacillin significantly decreased (p<0.01) after implementation of this computer support system. In summary, we recommend that pharmacists utilize computer systems to implement AS programs because they increase the efficiency of interventions and monitoring of patients and promote appropriate antibiotic use.
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http://dx.doi.org/10.1248/yakushi.16-00245 | DOI Listing |
J Chem Theory Comput
January 2025
Department of Chemistry, University of Bath, Claverton Down, Bath BA2 7AY, U.K.
Self-diffusion coefficients, *, are routinely estimated from molecular dynamics simulations by fitting a linear model to the observed mean squared displacements (MSDs) of mobile species. MSDs derived from simulations exhibit statistical noise that causes uncertainty in the resulting estimate of *. An optimal scheme for estimating * minimizes this uncertainty, i.
View Article and Find Full Text PDFJ Dent Sci
December 2024
Faculty of Dentistry, Department of Oral and Maxillofacial Surgery, Chulalongkorn University, Bangkok, Thailand.
Background/purpose: Many designs of static computer-assisted implant surgery (sCAIS) are available for clinician to achieve proper implant position. However, there were not any studies that approached the design alone to evaluate whether sleeve-in-sleeve or sleeve-on-drill design provided most accuracy implant position. The purpose of this study was to investigate the precision of implant placement with sleeve-in-sleeve and sleeve-on-drill static computer assisted implant surgery (sCAIS) designs.
View Article and Find Full Text PDFJ Dent Sci
December 2024
Department of Oral and Maxillofacial Surgery, Faculty of Dentistry, Chulalongkorn University, Bangkok, Thailand.
Background/purpose: Computer-assisted implant surgery (CAIS) is increasingly performed to reduce deviations in implant position. Dynamic CAIS or navigation systems provide instant display of implant drilling instruments and patient positions directly on the computer monitor. Augmented reality (AR) technology allows operators to visualize real-time information projected onto the lenses of AR glasses.
View Article and Find Full Text PDFResearch (Wash D C)
January 2025
Department of Electrical and Computer Engineering, National University of Singapore, Singapore 117583, Singapore.
Recent advancements in nanotechnology have revolutionized terahertz (THz) technology. By enabling the creation of compact, efficient devices through nanoscale structures, such as nano-thick heterostructures, metasurfaces, and hybrid systems, these innovations offer unprecedented control over THz wave generation and modulation. This has led to substantial enhancements in THz spectroscopy, imaging, and especially bio-applications, providing higher resolution and sensitivity.
View Article and Find Full Text PDFGROUP ACM SIGCHI Int Conf Support Group Work
January 2025
College of Information Sciences and Technology, The Pennsylvania State University, University Park, Pennsylvania, USA.
Assistive technologies for people with visual impairments (PVI) have made significant advancements, particularly with the integration of artificial intelligence (AI) and real-time sensor technologies. However, current solutions often require PVI to switch between multiple apps and tools for tasks like image recognition, navigation, and obstacle detection, which can hinder a seamless and efficient user experience. In this paper, we present NaviGPT, a high-fidelity prototype that integrates LiDAR-based obstacle detection, vibration feedback, and large language model (LLM) responses to provide a comprehensive and real-time navigation aid for PVI.
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