Labelling and drug administration error

Hurried Psychiatric Labelling: A Preventable Medical Error in an Emergency Department

The Effect of Modern Educational Strategies in Reducing Intravenous Drug Administration Error: A Non-Randomized Clinical Trial

Introduction: Among medication errors, intravenous medication administration errors are especially important. The lack of medication information can be one of the causes of medication errors. Using electronic education may facilitate quick access to the update resources. The objective of this study is the evaluation of an appropriate educational strategy to reduce intravenous drug administratio...

Mathematical Modeling and Lyapunov-Based Drug Administration in Cancer Chemotherapy

In this paper a new mathematical model is developed for the dynamics between tumor cells, normal cells, immune cells, chemotherapy drug concentration and drug toxicity. Then, the theorem of Lyapunov stability is applied to design treatment strategies for drug protocols that ensure a desired rate of tumor cell kill and push the system to the area with smaller tumor cells. Using of this theorem a...

Minimization of the preanalytical error in pharmacokinetic analyses and therapeutic drug monitoring: focus on IV drug administration.

BACKGROUND The conduct of multicenter pharmacokinetic (PK) analyses for long-established drugs entails specific problems, because samples have to be obtained within daily clinical practice. Practices for intravenous (IV) drug administration vary between hospitals, including the use of different infusion devices, the use of infusion line systems with different line volumes, and different priming...

Applying Spelling Error Correction Techniques for Improving Semantic Role Labelling

This paper describes our approach to the CoNLL2005 shared task: semantic role labelling. We do many of the obvious things that can be found in the other submissions as well. We use syntactic trees for deriving instances, partly at the constituent level and partly at the word level. On both levels we edit the data down to only the predicted positive cases of verb-constituent or verb-word pairs e...