Literature DB >> 17079557

Medication errors related to computerized order entry for children.

Kathleen E Walsh1, William G Adams, Howard Bauchner, Robert J Vinci, John B Chessare, Maureen R Cooper, Pamela M Hebert, Elisabeth G Schainker, Christopher P Landrigan.   

Abstract

OBJECTIVE: The objective of this study was to determine the frequency and types of pediatric medication errors attributable to design features of a computerized order entry system.
METHODS: A total of 352 randomly selected, inpatient, pediatric admissions were reviewed retrospectively for identification of medication errors, 3 to 12 months after implementation of computerized order entry. Errors were identified and classified by using an established, comprehensive, active surveillance method. Errors attributable to the computer system were classified according to type.
RESULTS: Among 6916 medication orders in 1930 patient-days, there were 104 pediatric medication errors, of which 71 were serious (37 serious medication errors per 1000 patient-days). Of all pediatric medication errors detected, 19% (7 serious and 13 with little potential for harm) were computer related. The rate of computer-related pediatric errors was 10 errors per 1000 patient-days, and the rate of serious computer-related pediatric errors was 3.6 errors per 1000 patient-days. The following 4 types of computer-related errors were identified: duplicate medication orders (same medication ordered twice in different concentrations of syrup, to work around computer constraints; 2 errors), drop-down menu selection errors (wrong selection from a drop-down box; 9 errors), keypad entry error (5 typed instead of 50; 1 error), and order set errors (orders selected from a pediatric order set that were not appropriate for the patient; 8 errors). In addition, 4 preventable adverse drug events in drug ordering occurred that were not considered computer-related but were not prevented by the computerized physician order entry system.
CONCLUSIONS: Serious pediatric computer-related errors are uncommon (3.6 errors per 1000 patient-days), but computer systems can introduce some new pediatric medication errors that are not typically seen in a paper ordering system.

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Year:  2006        PMID: 17079557     DOI: 10.1542/peds.2006-0810

Source DB:  PubMed          Journal:  Pediatrics        ISSN: 0031-4005            Impact factor:   7.124


  26 in total

1.  A clinical information system reduces medication errors in paediatric intensive care.

Authors:  Catherine Warrick; Hetal Naik; Susan Avis; Penny Fletcher; Bryony Dean Franklin; David Inwald
Journal:  Intensive Care Med       Date:  2011-02-02       Impact factor: 17.440

2.  Reducing emergency department charting and ordering errors with a room number watermark on the electronic medical record display.

Authors:  Loren G Yamamoto
Journal:  Hawaii J Med Public Health       Date:  2014-10

3.  Measuring Harm in Health Care: Optimizing Adverse Event Review.

Authors:  Kathleen E Walsh; Polina Harik; Kathleen M Mazor; Deborah Perfetto; Milena Anatchkova; Colleen Biggins; Joann Wagner; Pamela J Schoettker; Cassandra Firneno; Robert Klugman; Jennifer Tjia
Journal:  Med Care       Date:  2017-04       Impact factor: 2.983

4.  The Unintended Consequences of Health Information Technology Revisited.

Authors:  E Coiera; J Ash; M Berg
Journal:  Yearb Med Inform       Date:  2016-11-10

5.  How many medication orders are entered through free-text in EHRs?--a study on hypoglycemic agents.

Authors:  Li Zhou; Lisa M Mahoney; Anastasiya Shakurova; Foster Goss; Frank Y Chang; David W Bates; Roberto A Rocha
Journal:  AMIA Annu Symp Proc       Date:  2012-11-03

6.  Zero tolerance prescribing: a strategy to reduce prescribing errors on the paediatric intensive care unit.

Authors:  Rachelle Booth; Emma Sturgess; Alison Taberner-Stokes; Mark Peters
Journal:  Intensive Care Med       Date:  2012-08-11       Impact factor: 17.440

Review 7.  Computerized clinical decision support for medication prescribing and utilization in pediatrics.

Authors:  Jeremy S Stultz; Milap C Nahata
Journal:  J Am Med Inform Assoc       Date:  2012-07-19       Impact factor: 4.497

Review 8.  Methods for assessing the preventability of adverse drug events: a systematic review.

Authors:  Katja Marja Hakkarainen; Karolina Andersson Sundell; Max Petzold; Staffan Hägg
Journal:  Drug Saf       Date:  2012-02-01       Impact factor: 5.606

9.  Retrospective evaluation of a computerized physician order entry adaptation to prevent prescribing errors in a pediatric emergency department.

Authors:  Brian E Sard; Kathleen E Walsh; Gheorghe Doros; Megan Hannon; Wayne Moschetti; Howard Bauchner
Journal:  Pediatrics       Date:  2008-10       Impact factor: 7.124

Review 10.  What is the scale of prescribing errors committed by junior doctors? A systematic review.

Authors:  Sarah Ross; Christine Bond; Helen Rothnie; Sian Thomas; Mary Joan Macleod
Journal:  Br J Clin Pharmacol       Date:  2008-10-23       Impact factor: 4.335

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