Abstract
E-Prescription Errors and Their Resolution in a Community Compounding Pharmacy
Author(s): Reed-Kane Dana, Vasquez Kellie, Pavlik Aaron, Pergine Johanna, Sandberg Michelle
Issue: Mar/Apr 2014 - Volume 18, Number 2
Page(s): 159-161
Abstract
Despite apparent benefits, electronic prescribing systems still face numerous challenges. Errors associated with electronic prescriptions can often lead to workflow disruptions. This may be particularly disruptive in smaller, independent community pharmacies that may not have the staffing resources to adequately cope with an increase in required correspondence with prescriber offices. The objective of this study was to follow-up on a 2012 quality-improvement project evaluating electronic prescription error type, error rate, and time between error discovery and resolution in an independent compounding pharmacy. The study design was quality improvement with descriptive data. Data were collected over a four-week period during which time the pharmacists completed a data collection form for each electronic prescription received that contained an error. Percentages were calculated for error type, error rate, and error resolution type. Using range, mean, and standard deviation, time until error resolution was reported. In the four-week study period an e-prescribing error rate of 23.2% was identified (32 errors identified in 138 e-prescriptions). The most frequent error was an invalid electronic prescription signature for a controlled substance (31.3%, n=10). The most commonly used error resolution method was a phone call to the physician (59%, n=19). The average time to resolve the most frequent error type was 10.30 hours with a standard deviation of 18.18 hours. The results show a 40% decrease in the number of e-prescription errors identified compared to the quality-improvement evaluation done in the same pharmacy one year ago. E-prescription errors continue to disrupt workflow and impede patient care but perhaps at a lower rate. Pharmacies should implement a quality-improvement review process to help identify solutions to systems issues.
Related Keywords
- electronic prescribing
- e-prescription
- prescription errors
- medication errors
- community pharmacy
- quality improvement
Related Categories
- PEER-REVIEWED
- TECHNOLOGY
- QUALITY CONTROL
Related Articles from IJPC
Issue/Page View/Buy |
Title/Author (Click for Abstract / Details / Purchase) |
---|---|
Mar/Apr 2014
Pg. 159-161
|
|
Jan/Feb 2014
Pg. 83-86
|
|
Mar/Apr 2003
Pg. 106-113
|
Author(s):
Davidson Gigi S
|
May/Jun 2023
Pg. 211-217
|
Author(s):
Hawkins Jessica
|
Nov/Dec 2009
Pg. 532-536
|
|
Jul/Aug 2010
Pg. 350-351
|
Author(s):
Huffman D C
|
Nov/Dec 2016
Pg. 461-467
|
|
Mar/Apr 2021
Pg. 131-139
|
Author(s):
Allen Loyd V Jr
|
May/Jun 2012
Pg. 253-256
|
Author(s):
Galbraith Wendy, Shadid Jill
|
Sep/Oct 2013
Pg. 364-368
|
Author(s):
McElhiney Linda F
|
May/Jun 2021
Pg. 222-229
|
Author(s):
Allen Loyd V Jr
|
Jan/Feb 2017
Pg. 4
|
Author(s):
Allen Loyd V Jr
|
Nov/Dec 2003
Pg. 458-459
|
Author(s):
Allen Loyd V Jr
|
Mar/Apr 2016
Pg. 114-122
|
|
May/Jun 2008
Pg. 234-236
|
Author(s):
Cabaleiro Joe
|
May/Jun 2021
Pg. 197-204
|
|
May/Jun 2008
Pg. 213-215
|
Author(s):
Walkup Kenny R
|
Sep/Oct 2009
Pg. 400-403
|
Author(s):
Gilbert John A
|
Mar/Apr 2009
Pg. 92
|
Author(s):
Allen Loyd V Jr
|
Mar/Apr 2010
Pg. 134
|
Author(s):
Levitt Jonathan E, Mizeski Todd
|