Browsing by Subject "safety"

Now showing 1 - 10 of 18
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    Blood Flow Restriction Training: Implementation into Clinical Practice
    (Berkeley Electronic Press, 2017-09-01) Vanwye, William R.; Weatherholt, Alyssa M.; Mikesky, Alan E.; Kinesiology, School of Physical Education and Tourism Management
    To improve muscular strength and hypertrophy the American College of Sports Medicine recommends moderate to high load resistance training. However, use of moderate to high loads are often not feasible in clinical populations. Therefore, the emergence of low load (LL) blood flow restriction (BFR) training as a rehabilitation tool for clinical populations is becoming popular. Although the majority of research on LL-BFR training has examined healthy populations, clinical applications are emerging. Overall, it appears BFR training is a safe and effective tool for rehabilitation. However, additional research is needed prior to widespread application.
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    A Comparison of Error Rates Between Intravenous Push Methods: A Prospective, Multisite, Observational Study
    (Lippincott, Williams & Wilkins, 2018-03) Hertig, John B.; Degnan, Daniel D.; Scott, Catherine R.; Lenz, Janelle R.; Li, Xiaochun; Anderson, Chelsea M.; Biostatistics, School of Public Health
    Objectives Current literature estimates the error rate associated with the preparation and administration of all intravenous (IV) medications to be 9.4% to 97.7% worldwide. This study aims to compare the number of observed medication preparation and administration errors between the only commercially available ready-to-administer product (Simplist) and IV push traditional practice, including a cartridge-based syringe system (Carpuject) and vials and syringes. Methods A prospective, multisite, observational study was conducted in 3 health systems in various states within the United States between December 2015 and March 2016 to observe IV push medication preparation and administration. Researchers observed a ready-to-administer product and IV push traditional practice using a validated observational method and a modified data collection sheet. All observations were reconciled to the original medication order to determine if any errors occurred. Results Researchers collected 329 observations (ready to administer = 102; traditional practice = 227) and observed 260 errors (ready to administer = 25; traditional practice = 235). The overall observed error rate for ready-to-administer products was 2.5%, and the observed error rate for IV push traditional practice was 10.4%. Conclusions The ready-to-administer group demonstrated a statistically significant lower observed error rate, suggesting that use of this product is associated with fewer observed preparation and administration errors in the clinical setting. Future studies should be completed to determine the potential for patient harm associated with these errors and improve clinical practice because it relates to the safe administration of IV push medications.
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    Daily Situational Brief, December 12, 2014
    (MESH Coalition, 12/12/14) MESH Coalition
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    Daily Situational Brief, February 3, 2015
    (MESH Coalition, 2/3/2015) MESH Coalition
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    Daily Situational Brief, July 21, 2011
    (MESH Coalition, 2011-07-21) MESH Coalition
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    Daily Situational Brief, July 27, 2011
    (MESH Coalition, 2011-07-27) MESH Coalition
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    Daily Situational Brief, June 10, 2011
    (MESH Coalition, 6/10/2011) MESH Coalition
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    Daily Situational Brief, June 14, 2011
    (MESH Coalition, 6/14/2011) MESH Coalition
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    From Software-Defined Vehicles to Self-Driving Vehicles: A Report on CPSS-Based Parallel Driving
    (IEEE, 2018-10) Han, Shuangshuang; Cao, Dongpu; Li, Li; Li, Lingxi; Li, Shengbo Eben; Zheng, Nan-Ning; Wang, Fei-Yue; Mechanical and Energy Engineering, School of Engineering and Technology
    On June 11th, 2017, the 28th IEEE Intelligent Vehicles Symposium (IV'2017) was held in Redondo Beach, California, USA. As one of the 8 workshops at IV'2017, the cyber-physical-social systems (CPSS)-based parallel driving (WS'08), organized by the State Key Laboratory for Management and Control of Complex Systems (SKL-MCCS), Institute of Automation, Chinese Academy of Sciences, China, Xi'an Jiaotong University, China, Tsinghua University, China, Indiana University-Purdue University Indianapolis, USA, and Cranfield University, U.K, has attracted both researchers and practitioners in intelligent vehicles. About 60-70 participants from various countries had extensive and deep discussions on definition, challenges and alternative solutions for CPSS-based parallel driving, and widely agreed that it is a novel paradigm of cloud-based automated driving technologies. Six speakers shared their ideas, studies, field applications, and vision for future along these emerging directions from software-defined vehicles to self-driving vehicles.
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    Hyperosmotic low-volume bowel preparations: Is NER1006 safe?
    (Elsevier, 2018) Rex, Douglas K.; Medicine, School of Medicine