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Most errors found in our study were related to the transcription of prescriptions (53.3%).
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They included suggestions from Hoffmann et al. (2007) to minimize most common errors found in mass transfer studies.
For example, introduction of bar-code medication administration systems together with awareness of nurses could reduce some errors like omissions and wrong time (the two most frequent errors found in our study).
Most errors happen during loading.
The most frequently reported medication errors found in our study were medication regimen change and originated from medication prescribing.
In each development cycle we analysed a random sample of several hundred free text entries from the GPRD, reviewed the output, and modified the program or lookup tables to avoid the errors found on the most recent run.
My nonprofit, which provides a calculator of the hidden surcharge Americans pay for hospital errors, finds most companies are paying millions or even billions of extra dollars for the cost of harming their employees.
As can be seen most errors are to be found near the polar gaps and around the transitions between mid and polar latitudes that introduce discontinuities in the magnetic field values.
These checks result in informative error messages and warnings ensuring that most errors are easy to find and easy to correct.
Furthermore, it was found that most errors occurred for underrepresented molecules when forcing highly uncertain predictions based on smaller fragments.
We found that most errors were due to heterozygous genotypes not being properly predicted, particularly near telomeres and centromeres.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com