Literature DB >> 23575623

Potential medication errors associated with computer prescriber order entry.

Elena Villamañán1, Yolanda Larrubia, Margarita Ruano, Manuel Vélez, Eduardo Armada, Alicia Herrero, Rodolfo Álvarez-Sala.   

Abstract

INTRODUCTION: To assess the frequency of medication errors (ME) induced or enhanced by computerized physician order entry (CPOE). Error type, drug classes involved, specialty, patient outcome and system failures were also evaluated.
METHODS: Observational quantitative study in a large tertiary care medical center over March 2012 3 years after CPOE implementation. Pharmacists detected ME associated with CPOE (those that wouldn't have occurred if the clinician had prescribed manually) and unassociated in pharmacological treatments in inpatients of 13 specialties (421 beds). Main outcome measured were ME associated and unassociated with CPOE.
RESULTS: We found 714 ME with 85.857 drug prescriptions (a 0.8 % error rate, 95 % CI 0.6-0.7). Percentage of error associated with CPOE was 77.7 %. The main types of error related to CPOE were wrong medication selection (20.9 %) and improper data placement (20.3 %). Failures with medications prescribed in primary care, unavailable in the hospital pharmacy, were involved in 21.6 % of all ME. Errors involving surgical specialties were double those involving medical specialties (1.2 vs. 0.6 %). Most ME associated with CPOE were potential errors (90 %). During the study system failures occurred four times.
CONCLUSIONS: The use of CPOE minimises the occurrence of medication errors, however, they still occur. Most errors are associated with the CPOE technology. We therefore face a new challenge in the prevention of ME that require a change in strategy for patient safety. Continued training of prescribers, standardization of the electronic prescription programs and integration between computer applications in hospitals and with primary care should be a priority.

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Year:  2013        PMID: 23575623     DOI: 10.1007/s11096-013-9771-2

Source DB:  PubMed          Journal:  Int J Clin Pharm


  24 in total

1.  Computerized physician order entry: helpful or harmful?

Authors:  Robert G Berger; J P Kichak
Journal:  J Am Med Inform Assoc       Date:  2003-11-21       Impact factor: 4.497

2.  Types of unintended consequences related to computerized provider order entry.

Authors:  Emily M Campbell; Dean F Sittig; Joan S Ash; Kenneth P Guappone; Richard H Dykstra
Journal:  J Am Med Inform Assoc       Date:  2006-06-23       Impact factor: 4.497

3.  "e-Iatrogenesis": the most critical unintended consequence of CPOE and other HIT.

Authors:  Jonathan P Weiner; Toni Kfuri; Kitty Chan; Jinnet B Fowles
Journal:  J Am Med Inform Assoc       Date:  2007-02-28       Impact factor: 4.497

Review 4.  The impact of computerized physician medication order entry in hospitalized patients--a systematic review.

Authors:  Saeid Eslami; Nicolette F de Keizer; Ameen Abu-Hanna
Journal:  Int J Med Inform       Date:  2007-11-26       Impact factor: 4.046

5.  Harnessing the power of default options to improve health care.

Authors:  Scott D Halpern; Peter A Ubel; David A Asch
Journal:  N Engl J Med       Date:  2007-09-27       Impact factor: 91.245

6.  The nature of adverse events in hospitalized patients. Results of the Harvard Medical Practice Study II.

Authors:  L L Leape; T A Brennan; N Laird; A G Lawthers; A R Localio; B A Barnes; L Hebert; J P Newhouse; P C Weiler; H Hiatt
Journal:  N Engl J Med       Date:  1991-02-07       Impact factor: 91.245

Review 7.  [Computerized physician order entry as a new technology for patients' safety].

Authors:  Elena Villamañán; Alicia Herrero; Rodolfo Alvarez-Sala
Journal:  Med Clin (Barc)       Date:  2011-04-09       Impact factor: 1.725

Review 8.  The assisted electronic prescription in patients hospitalised in a chest diseases ward.

Authors:  Elena Villamañán; Alicia Herrero; Rodolfo Alvarez Sala
Journal:  Arch Bronconeumol       Date:  2011-03-04       Impact factor: 4.872

9.  Role of computerized physician order entry systems in facilitating medication errors.

Authors:  Ross Koppel; Joshua P Metlay; Abigail Cohen; Brian Abaluck; A Russell Localio; Stephen E Kimmel; Brian L Strom
Journal:  JAMA       Date:  2005-03-09       Impact factor: 56.272

10.  Prescription errors and outcomes related to inconsistent information transmitted through computerized order entry: a prospective study.

Authors:  Hardeep Singh; Shrinidi Mani; Donna Espadas; Nancy Petersen; Veronica Franklin; Laura A Petersen
Journal:  Arch Intern Med       Date:  2009-05-25
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  12 in total

1.  Answer to the comment on 'potential medication errors associated with computer prescriber order entry'.

Authors:  E Villamañán; M Ruano; Y Larrubia; T Baumann; E R Armada; A Herrero; R Álvarez-Sala
Journal:  Int J Clin Pharm       Date:  2014-10-28

2.  The impact of computerized physician order entry on medication error prevention.

Authors:  Ahmad Fayaz-Bakhsh; Sadun Khezri
Journal:  Int J Clin Pharm       Date:  2014-10-19

3.  Analysis of an electronic medication reconciliation and information at discharge programme for frail elderly patients.

Authors:  Marta Moro Agud; Rocío Menéndez Colino; María Del Coro Mauleón Ladrero; Margarita Ruano Encinar; Jesús Díez Sebastián; Elena Villamañán Bueno; Alicia Herrero Ambrosio; Juan Ignacio González Montalvo
Journal:  Int J Clin Pharm       Date:  2016-06-15

Review 4.  New technologies as a strategy to decrease medication errors: how do they affect adults and children differently?

Authors:  Margarita Ruano; Elena Villamañán; Ester Pérez; Alicia Herrero; Rodolfo Álvarez-Sala
Journal:  World J Pediatr       Date:  2015-12-18       Impact factor: 2.764

5.  Intercepting wrong-patient orders in a computerized provider order entry system.

Authors:  Robert A Green; George Hripcsak; Hojjat Salmasian; Eliot J Lazar; Susan B Bostwick; Suzanne R Bakken; David K Vawdrey
Journal:  Ann Emerg Med       Date:  2014-12-18       Impact factor: 5.721

6.  Technology-induced errors associated with computerized provider order entry software for older patients.

Authors:  Manuel Vélez-Díaz-Pallarés; Ana María Álvarez Díaz; Teresa Gramage Caro; Noelia Vicente Oliveros; Eva Delgado-Silveira; María Muñoz García; Alfonso José Cruz-Jentoft; Teresa Bermejo-Vicedo
Journal:  Int J Clin Pharm       Date:  2017-05-24

7.  Free-Text Computerized Provider Order Entry Orders Used as Workaround for Communicating Medication Information.

Authors:  Swaminathan Kandaswamy; Joanna Grimes; Daniel Hoffman; Jenna Marquard; Raj M Ratwani; Aaron Z Hettinger
Journal:  J Patient Saf       Date:  2021-12-17       Impact factor: 2.243

8.  Proposed model to determine satisfaction with computerised provider order entry systems in a long-stay hospital.

Authors:  Francisco Javier Carrera-Hueso; Maria Jose Merino-Plaza; María Auxiliadora Ramón-Barrios; Esperanza Isabel Lopez-Merino; Pedro Vazquez-Ferreiro; Jaime Poquet-Jornet
Journal:  Eur J Hosp Pharm       Date:  2017-10-30

9.  Medication errors related to transdermal opioid patches: lessons from a regional incident reporting system.

Authors:  Henrik Lövborg; Mikael Holmlund; Staffan Hägg
Journal:  BMC Pharmacol Toxicol       Date:  2014-06-09       Impact factor: 2.483

10.  A machine learning-based clinical decision support system to identify prescriptions with a high risk of medication error.

Authors:  Jennifer Corny; Asok Rajkumar; Olivier Martin; Xavier Dode; Jean-Patrick Lajonchère; Olivier Billuart; Yvonnick Bézie; Anne Buronfosse
Journal:  J Am Med Inform Assoc       Date:  2020-11-01       Impact factor: 4.497

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