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Implement preprinted packets for pediatric procedural sedations to increase documentation compliance and decrease medication ordering errors.
For instance, medication ordering errors have little to do with administration and dispensing errors.
As medication errors are known to be a significant cause of morbidity and increased hospitalization costs [ 1], a modest reduction in medication ordering errors with PDA use should provide hospitals and residency programs with sufficient incentive to invest in the technology.
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Medication orders, errors, and adverse events were tracked for 5 months each before and after the implementation of a computerized provider order entry system with decision support for drug-drug interactions, overdosing, and allergy alerts.
A 2006 survey of Massachusetts EDs found that only 11% had fully-implemented technology for medication order error checking [7].
Medication errors and preventable adverse drug events are common, and about half of medication errors occur during medication ordering.
Overall, the ICIS resulted in a relative reduction of 86.7% for all types of errors associated with medication ordering.
The aim of this research was to explicate the cognitive distribution that underlies RACF medication ordering and delivery to identify gaps in medication-related information exchange which lead to medication errors in RACFs.
Prescribers commonly receive alerts during medication ordering.
In a recent systematic review of the prevalence, incidence, and nature of prescribing errors in hospital inpatients (including a wider range of methods for identifying errors), the median error rates in 65 eligible studies were 7%% of medication orders, 52 errors per 100 admissions, and 24 errors per 1,000 patient days [ 1].
Prescribing errors in hospitals are particularly common; our systematic review of 65 studies, which used a variety of data collection methods, found a median prescribing error rate of 7%% (interquartile range [IQR] 2 14) per medication order, 52 errors (IQR 8 227) per 100 hospital admissions and 24 (IQR 6 216) per 1000 patient days [ 2].
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CEO of Professional Science Editing for Scientists @ prosciediting.com