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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
20                        Among patients with a medication error, an average of 1.88 errors per patient
21 quality of evidence statements pertaining to medication errors and adverse drug events addressing the
22                                  Intravenous medication errors and adverse drug events were frequent
23 port software on the incidence and nature of medication errors and adverse drug events.
24 uld use medication reconciliation to prevent medication errors and improve patient safety.
25 er drugs is associated with a broad range of medication errors and side effects.
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
29 t." Drug-induced episodes were evaluated for medication errors and treatment.
30 ed problems (ie, side effects and unresolved medication errors) and patient treatment satisfaction wi
31 , adverse drug reaction, adverse drug event, medication error, and side effect.
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
34                                              Medication errors are a leading cause of injury and avoi
35                                              Medication errors are an important source of potentially
36                         Clinically important medication errors are common after hospital discharge.
37                                          ART medication errors are common among hospitalized HIV-infe
38                                      Serious medication errors are common in hospitals and often occu
39                                              Medication errors are common in pediatric inpatient sett
40                                              Medication errors are common in primary care and are ass
41                          Greater than 50% of medication errors are estimated to occur during transiti
42             Prior research suggests that ART medication errors are on the rise in US hospitals.
43               Iatrogenic injuries, including medication errors, are an important problem in all hospi
44 around implementation, clinical outcomes and medication errors associated with delegation of medicati
45          Nearly half of patients experienced medication errors at the time of transition of care from
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
48     Children are particularly susceptible to medication errors, but innovative interventions for the
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
51                 Antiretroviral therapy (ART) medication errors can lead to drug resistance, treatment
52 ith each medication error category and which medication error categories were most likely to co-occur
53  the XGBoost model performed best across all medication error categories.
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
56 allows hospitals to report, track, and share medication error data.
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% (
59          The primary outcome was the rate of medication errors, defined as a failure in drug preparat
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
63       Interns made 20.8 percent more serious medication errors during the traditional schedule than d
64 nts and prevent serious complications of ART medication errors especially during the first 24 hours o
65                                   We discuss medication errors, healthcare-acquired infections, falls
66                           A total of 145 ART medication errors in 110 admissions were identified on t
67  an effective method for reducing a range of medication errors in general practices with computerised
68 ose that are weight based, can contribute to medication errors in the intensive care unit.
69           There were 44 clinically important medication errors in the intervention group and 45 in th
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
72                                              Medication errors in this setting are not well described
73                                      Serious medication errors included both near-misses and preventa
74              We found a total of 180 serious medication errors, including 14 and 11 preventable adver
75 re to decrease the occurrence or duration of medication errors, including review of electronic health
76  985 patients transferred, 450 (45.7%) had a medication error occur during transition of care.
77                                              Medication errors occur frequently in the administration
78                 At least 1 physician-related medication error occurred for 87 patients (12.5%), inclu
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
82                                              Medication errors, potential ADEs, and ADEs were identif
83 We found no measurable impact on the serious medication error rate, likely in part due to poor compli
84                                              Medication error rates are high among adult and pediatri
85                                  The serious medication error rates in the control and intervention p
86 ship between safety emphasis and the fear of medication error reporting among Chinese nurses.
87 nal consequences is a significant barrier to medication error reporting among nurses.
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
93 rarchy of Authority, and the Nurses' Fear of Medication Error Reporting.
94 rceptions of safety emphasis and the fear of medication error reporting.
95 effect of safety emphasis on nurses' fear of medication error reporting.
96 ween patient safety emphasis and the fear of medication error reporting.
97 d, they tend to perceive similar barriers to medication error reporting.
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
106 ast, Southwest, Northeast, and Northwest for medication errors using established methods.
107                                  The risk of medication errors varied across drugs with conventional
108                         Clinically important medication errors were present among one half of patient
109                                          Six medication errors were reported.
110                         Clinically important medication errors were the primary study outcome.
111 (2) a subset defined as clinically important medication errors, which included preventable or amelior

 
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