2014
DOI: 10.2146/ajhp130649
|View full text |Cite
|
Sign up to set email alerts
|

Sterile product compounding using an i.v. compounding workflow management system at a pediatric hospital

Abstract: Implementation of an i.v. workflow management system that integrates barcode verification, automated calculations, and image-capture capabilities led to increased detection of errors in the sterile product compounding process.

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
2
1

Citation Types

1
24
1

Year Published

2017
2017
2024
2024

Publication Types

Select...
6
1

Relationship

0
7

Authors

Journals

citations
Cited by 26 publications
(26 citation statements)
references
References 5 publications
1
24
1
Order By: Relevance
“… §§Moniz et al (2014). 44 Wrong volume of drug/diluent (detectable by previous practices), wrong drug volume (not detectable by previous practices) and wrong diluent volume (not detectable by previous practices) are combined in this table as wrong dose. ¶¶Nguyen et al (2014).…”
Section: Resultsmentioning
confidence: 99%
See 1 more Smart Citation
“… §§Moniz et al (2014). 44 Wrong volume of drug/diluent (detectable by previous practices), wrong drug volume (not detectable by previous practices) and wrong diluent volume (not detectable by previous practices) are combined in this table as wrong dose. ¶¶Nguyen et al (2014).…”
Section: Resultsmentioning
confidence: 99%
“… 52 The other studies defined aseptic technique errors either based on bacterial cultures 29 34 or report of syringes left uncapped during the preparation process. 44 …”
Section: Resultsmentioning
confidence: 99%
“…There was no significant difference in error rates between baseline and post-implementation period. 31 Wright and colleagues found 8.5% of total errors were introduced by the automated IV workflow system which is less that reported by Moniz et al 30,31 The differences in reported error rates are likely due to variations in study design and definition of errors. Given the lack of standardized study design and measured outcomes, the impact of these systems cannot be assessed across multiple studies.…”
Section: Intravenous Automated Workflow Systemsmentioning
confidence: 87%
“…The initial studies of automated IV workflow systems were observational and identified errors captured with this new technology. [28][29][30] Wright and colleagues compared error rates between a manual IV preparation process and an automated IV workflow system with bar code verification and image capture. Baseline error data were collected over 4 days and compared with a 48-week post-implementation period.…”
Section: Intravenous Automated Workflow Systemsmentioning
confidence: 99%
“…Moniz et al implemented a BCMP system in their hospital pharmacy and collected data regarding the number of doses prepared in the pharmacy, the number of errors detected by pharmacists, and the number of reworked or rejected doses . The time of data collection was 5 months.…”
Section: Reducing Errorsmentioning
confidence: 99%