Literature DB >> 27678459

Computerized prescriber order entry-related patient safety reports: analysis of 2522 medication errors.

Mary G Amato1,2, Alejandra Salazar1, Thu-Trang T Hickman1, Arbor Jl Quist1, Lynn A Volk3, Adam Wright1,4, Dustin McEvoy3, William L Galanter5, Ross Koppel6, Beverly Loudin7, Jason Adelman8, John D McGreevey6, David H Smith9, David W Bates1,3,4,10, Gordon D Schiff1,4.   

Abstract

Objective: To examine medication errors potentially related to computerized prescriber order entry (CPOE) and refine a previously published taxonomy to classify them. Materials and
Methods: We reviewed all patient safety medication reports that occurred in the medication ordering phase from 6 sites participating in a United States Food and Drug Administration-sponsored project examining CPOE safety. Two pharmacists independently reviewed each report to confirm whether the error occurred in the ordering/prescribing phase and was related to CPOE. For those related to CPOE, we assessed whether CPOE facilitated (actively contributed to) the error or failed to prevent the error (did not directly cause it, but optimal systems could have potentially prevented it). A previously developed taxonomy was iteratively refined to classify the reports.
Results: Of 2522 medication error reports, 1308 (51.9%) were related to CPOE. Of these, CPOE facilitated the error in 171 (13.1%) and potentially could have prevented the error in 1137 (86.9%). The most frequent categories of "what happened to the patient" were delays in medication reaching the patient, potentially receiving duplicate drugs, or receiving a higher dose than indicated. The most frequent categories for "what happened in CPOE" included orders not routed to or received at the intended location, wrong dose ordered, and duplicate orders. Variations were seen in the format, categorization, and quality of reports, resulting in error causation being assignable in only 403 instances (31%). Discussion and
Conclusion: Errors related to CPOE commonly involved transmission errors, erroneous dosing, and duplicate orders. More standardized safety reporting using a common taxonomy could help health care systems and vendors learn and implement prevention strategies.
© The Author 2016. Published by Oxford University Press on behalf of the American Medical Informatics Association. All rights reserved. For Permissions, please email: journals.permissions@oup.com

Entities:  

Keywords:  computerized provider order entry; electronic prescribing; health information technology; medication errors; medication safety

Mesh:

Year:  2017        PMID: 27678459     DOI: 10.1093/jamia/ocw125

Source DB:  PubMed          Journal:  J Am Med Inform Assoc        ISSN: 1067-5027            Impact factor:   4.497


  16 in total

1.  Current challenges in health information technology-related patient safety.

Authors:  Dean F Sittig; Adam Wright; Enrico Coiera; Farah Magrabi; Raj Ratwani; David W Bates; Hardeep Singh
Journal:  Health Informatics J       Date:  2018-12-11       Impact factor: 2.681

2.  Understanding CancelRx: Results of End-to-End Functional Testing, Proactive Risk Assessment, and Pilot Implementation.

Authors:  Samantha I Pitts; Noah Barasch; Andrew T Maslen; Bridgette A Thomas; Leonard P Dorissaint; Krista G Decker; Sadaf Kazi; Yushi Yang; Allen R Chen
Journal:  Appl Clin Inform       Date:  2019-05-22       Impact factor: 2.342

3.  Using Active Learning to Identify Health Information Technology Related Patient Safety Events.

Authors:  Allan Fong; Jessica L Howe; Katharine T Adams; Raj M Ratwani
Journal:  Appl Clin Inform       Date:  2017-01-18       Impact factor: 2.342

Review 4.  Contributions from the 2016 Literature on Clinical Decision Support.

Authors:  V Koutkias; J Bouaud
Journal:  Yearb Med Inform       Date:  2017-09-11

Review 5.  Nurse workarounds in the electronic health record: An integrative review.

Authors:  Dan Fraczkowski; Jeffrey Matson; Karen Dunn Lopez
Journal:  J Am Med Inform Assoc       Date:  2020-07-01       Impact factor: 4.497

6.  Risk factors associated with medication ordering errors.

Authors:  Joanna Abraham; William L Galanter; Daniel Touchette; Yinglin Xia; Katherine J Holzer; Vania Leung; Thomas Kannampallil
Journal:  J Am Med Inform Assoc       Date:  2021-01-15       Impact factor: 4.497

Review 7.  Genomics and electronic health record systems.

Authors:  Lucila Ohno-Machado; Jihoon Kim; Rodney A Gabriel; Grace M Kuo; Michael A Hogarth
Journal:  Hum Mol Genet       Date:  2018-05-01       Impact factor: 6.150

8.  Exploration and Initial Development of Text Classification Models to Identify Health Information Technology Usability-Related Patient Safety Event Reports.

Authors:  Allan Fong; Tomilayo Komolafe; Katharine T Adams; Arman Cohen; Jessica L Howe; Raj M Ratwani
Journal:  Appl Clin Inform       Date:  2019-07-17       Impact factor: 2.342

9.  The Impact of Technology on Prescribing Errors in Pediatric Intensive Care: A Before and After Study.

Authors:  Moninne M Howlett; Eileen Butler; Karen M Lavelle; Brian J Cleary; Cormac V Breatnach
Journal:  Appl Clin Inform       Date:  2020-05-06       Impact factor: 2.342

10.  Varying rates of patient identity verification when using computerized provider order entry.

Authors:  Emilie Fortman; A Zachary Hettinger; Jessica L Howe; Allan Fong; Zoe Pruitt; Kristen Miller; Raj M Ratwani
Journal:  J Am Med Inform Assoc       Date:  2020-06-01       Impact factor: 4.497

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.