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1 gnostic error, and one was attributable to a medication error.
2 % CI, 12.5% to 26.9%) were associated with a medication error.
3 95% CI, 5.7% to 8.6%) were associated with a medication error.
4 al cost savings and have an inherent risk of medication errors.
5 A total of 54 episodes (26.5%) resulted from medication errors.
6 safety through the significant reduction of medication errors.
7 es of interest--three important primary care medication errors.
8 d surveillance and monitoring, and decreased medication errors.
9 a patient safety issue and may contribute to medication errors.
10 omes included mortality, adverse events, and medication errors.
11 article reviews the literature on preventing medication errors.
12 Nonintercepted serious medication errors.
13 ) experienced 1 or more clinically important medication errors.
14 k for experiencing medical errors, including medication errors.
15 e, patient falls, nosocomial infections, and medications errors.
16 errors (0.3 to 5.8 per 100 visits) and home medication errors (0 to 14.5 per 100 visits in children)
17 2 (50.8%) had 1 or more clinically important medication errors; 22.9% of such errors were judged to b
18 iewed 10 778 medication orders and found 616 medication errors (5.7%), 115 potential ADEs (1.1%), and
19 s, the adjusted odds ratio of experiencing a medication error among those assigned to telemedicine wa
21 quality of evidence statements pertaining to medication errors and adverse drug events addressing the
26 We aimed to determine rates and types of medication errors and systems factors associated with er
27 transplant recipients are at a high risk for medication errors and that transplant pharmacist involve
28 bile app significantly decreased the rate of medication errors and time to drug delivery for emergenc
30 ed problems (ie, side effects and unresolved medication errors) and patient treatment satisfaction wi
32 e risk increases of unintentional overdoses, medication errors, and intentional overdoses caused by a
33 gs from educational activities, avoidance of medication errors, and optimization of medical therapies
44 around implementation, clinical outcomes and medication errors associated with delegation of medicati
46 significant differences in physician-related medication errors between critically ill children assign
47 sts have the potential to reduce the risk of medication errors beyond the current standard of care, t
49 able to reduce the likelihood of one of the medication errors by about 50 (estimated to be between 2
50 decreased the rate of nonintercepted serious medication errors by more than half, although this decre
52 ith each medication error category and which medication error categories were most likely to co-occur
54 five words most closely associated with each medication error category and which medication error cat
55 %; 95% CI, 57.1%-68.3%) were associated with medication errors compared with 17 of 296 preparations d
57 tween phases 1 and 2, nonintercepted serious medication errors decreased 55%, from 10.7 events per 10
58 ed measures, with the app, the proportion of medication errors decreased in absolute terms by 66.5% (
60 erdose is a common intensive care unit (ICU) medication error due to the narrow therapeutic window of
61 rs receiving antiretrovirals are at risk for medication errors during hospitalization and at transiti
62 ug-related incidents or clinically important medication errors during the posthospitalization period
64 nts and prevent serious complications of ART medication errors especially during the first 24 hours o
67 an effective method for reducing a range of medication errors in general practices with computerised
70 epidemiological data are available regarding medication errors in the pediatric inpatient setting.
71 k the possibility of adverse drug events and medication errors in their differential diagnoses of pat
75 re to decrease the occurrence or duration of medication errors, including review of electronic health
79 the association between misunderstanding and medication error or evaluate patients' actual prescripti
80 siderable, positive effects on the number of medication errors, patient treatment perception, and sev
81 tcome was the number of clinically important medication errors per patient during the first 30 days a
83 We found no measurable impact on the serious medication error rate, likely in part due to poor compli
88 stems: the National Coordinating Council for Medication Error Reporting and Prevention (NCC-MERP), Cl
89 fidential, deidentified, internet-accessible medication error reporting program that allows hospitals
90 face-saving, power distance, and the fear of medication error reporting were 20.27 (SD=2.36), 14.63 (
91 velop a work culture that minimizes fears of medication error reporting without first addressing face
92 ral factors as playing a significant role in medication error reporting, little is known about the me
98 is, face-saving, power distance, and fear of medication error reporting; and (2) explore face-saving
99 EUA required healthcare providers to report medication errors, selected adverse events (AEs), seriou
100 falls (SMD, -0.12; 95% CI, -0.22 to -0.03), medication errors (SMD, -0.30; 95% CI, -0.48 to -0.11),
101 re previously annotated using a consolidated medication error taxonomy were used to develop three mod
102 mi-automated method for identifying specific medication error types from the free text of patient saf
103 e per-patient number of clinically important medication errors (unadjusted incidence rate ratio, 0.92
104 ; 95% CI, 0.83-1.56) or clinically important medication errors (unadjusted incidence rate ratio, 0.99
105 edical records to document physician-related medication errors using a previously validated instrumen
111 (2) a subset defined as clinically important medication errors, which included preventable or amelior