Your English writing platform
Discover LudwigSuggestions(1)
Exact(1)
Several studies have reported the prevalence of the medication discrepancy problem in adult patients [ 1- 3].
Similar(59)
However, even at this early stage of development, automated medication discrepancy detection shows a promising outcome in assisting medication reconciliation.
There was very good agreement among evaluators in judging the potential clinical effect of medication discrepancy.
Greater than 50% chance that the medication discrepancy identified had potential to harm patient.
Employing a standardized Medication Discrepancy Tool [ 35] will also ensure consistency among the data.
The proposed medication discrepancy detection algorithm is diagramed in Figure 2.
The degree of effect for each medication discrepancy was defined as follows.
Multivariate logistic regression analysis was used to investigate predictors of at least 1 medication discrepancy.
First, to investigate the prevalence and types of drug therapy problems and medication discrepancies among super-utilizers, and associated patient characteristics.
In general, interventional studies have shown that PHR use may significantly help patients engage preventive health care, like vaccinations [ 12] or mammography [ 13], or decrease patient-related problems, like medication discrepancies [ 14].
To describe the types and causes of medication discrepancies in the electronic medical record identified by pharmacist medication reconciliation during outpatient medical visits and to identify patient characteristics associated with the presence of discrepancies.
Write better and faster with AI suggestions while staying true to your unique style.
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