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If we all took a page from the book of Bill Gates and Jean Case -- and the many Global Philanthropy Forum members who eagerly share errors made -- we can make mistakes matter.
Our findings also suggest that doctors and surgeons shift blame onto nurses as a norm, specifically when nurses attempt to report or share errors in the workplace.
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MEDMARX is an anonymous, confidential, de-identified, Internet-accessible medication error-reporting program designed to allow hospitals to report, track, and share error data in a standardized format.
Figure 4 Percentages of distribution of the different types of shared errors.
By analyzing the shared segmentation errors from all the submitted systems, we conclude that a large percentage of errors was induced either by the presence of a low level of sound in the background (23%) or by the overlapping speech (21%), while the annotator mistakes accounted for only 8% of the total amount of shared errors.
According to the plot in Figure 4, a large percentage of shared errors was provoked by the presence of either a low level of sound in the background (23%) or overlapped speech (21%), while the annotator mistakes caused only 8% of the total amount of shared errors.
In these situations, gene prediction programs are evaluated by comparing the outputs of different programs to each other [17], but this process is at risk of missing shared errors.
Because biases occur, by definition, with systematic or shared errors, sources of shared uncertainty need to be scrutinized carefully.
Even a very small proportion of shared errors could cause a strong effect on the ABBA-BABA statistic.
The primary limitation of many such simulations is that shared errors and intraindividual correlations are not accounted for.
The questions measure the culture of error reporting in a hospital and indicate how comfortable the respondent is in sharing errors at the workplace with supervisors and coworkers.
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