Literature DB >> 27638908

National trends in safety performance of electronic health record systems in children's hospitals.

Juan D Chaparro1, David C Classen2, Melissa Danforth3, David C Stockwell4, Christopher A Longhurst5.   

Abstract

Objective: To evaluate the safety of computerized physician order entry (CPOE) and associated clinical decision support (CDS) systems in electronic health record (EHR) systems at pediatric inpatient facilities in the US using the Leapfrog Group's pediatric CPOE evaluation tool.
Methods: The Leapfrog pediatric CPOE evaluation tool, a previously validated tool to assess the ability of a CPOE system to identify orders that could potentially lead to patient harm, was used to evaluate 41 pediatric hospitals over a 2-year period. Evaluation of the last available test for each institution was performed, assessing performance overall as well as by decision support category (eg, drug-drug, dosing limits). Longitudinal analysis of test performance was also carried out to assess the impact of testing and the overall trend of CPOE performance in pediatric hospitals.
Results: Pediatric CPOE systems were able to identify 62% of potential medication errors in the test scenarios, but ranged widely from 23-91% in the institutions tested. The highest scoring categories included drug-allergy interactions, dosing limits (both daily and cumulative), and inappropriate routes of administration. We found that hospitals with longer periods since their CPOE implementation did not have better scores upon initial testing, but after initial testing there was a consistent improvement in testing scores of 4 percentage points per year. Conclusions: Pediatric computerized physician order entry (CPOE) systems on average are able to intercept a majority of potential medication errors, but vary widely among implementations. Prospective and repeated testing using the Leapfrog Group's evaluation tool is associated with improved ability to intercept potential medication errors.
© 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:  computer simulation; computerized physician order entry; electronic health records; medication order entry; patient safety; software testing

Mesh:

Year:  2017        PMID: 27638908      PMCID: PMC7651940          DOI: 10.1093/jamia/ocw134

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


  25 in total

1.  Mixed results in the safety performance of computerized physician order entry.

Authors:  Jane Metzger; Emily Welebob; David W Bates; Stuart Lipsitz; David C Classen
Journal:  Health Aff (Millwood)       Date:  2010-04       Impact factor: 6.301

Review 2.  How to avoid paediatric medication errors: a user's guide to the literature.

Authors:  K E Walsh; R Kaushal; J B Chessare
Journal:  Arch Dis Child       Date:  2005-07       Impact factor: 3.791

3.  Development of the Leapfrog methodology for evaluating hospital implemented inpatient computerized physician order entry systems.

Authors:  P M Kilbridge; E M Welebob; D C Classen
Journal:  Qual Saf Health Care       Date:  2006-04

4.  Unexpected increased mortality after implementation of a commercially sold computerized physician order entry system.

Authors:  Yong Y Han; Joseph A Carcillo; Shekhar T Venkataraman; Robert S B Clark; R Scott Watson; Trung C Nguyen; Hülya Bayir; Richard A Orr
Journal:  Pediatrics       Date:  2005-12       Impact factor: 7.124

5.  A clinical case of electronic health record drug alert fatigue: consequences for patient outcome.

Authors:  C William Carspecken; Paul J Sharek; Christopher Longhurst; Natalie M Pageler
Journal:  Pediatrics       Date:  2013-05-27       Impact factor: 7.124

6.  Medication errors and adverse drug events in pediatric inpatients.

Authors:  R Kaushal; D W Bates; C Landrigan; K J McKenna; M D Clapp; F Federico; D A Goldmann
Journal:  JAMA       Date:  2001-04-25       Impact factor: 56.272

7.  The SAFER guides: empowering organizations to improve the safety and effectiveness of electronic health records.

Authors:  Dean F Sittig; Joan S Ash; Hardeep Singh
Journal:  Am J Manag Care       Date:  2014-05       Impact factor: 2.229

8.  Testing electronic health records in the "production" environment: an essential step in the journey to a safe and effective health care system.

Authors:  Adam Wright; Skye Aaron; Dean F Sittig
Journal:  J Am Med Inform Assoc       Date:  2016-04-23       Impact factor: 4.497

9.  Core drug-drug interaction alerts for inclusion in pediatric electronic health records with computerized prescriber order entry.

Authors:  Marvin B Harper; Christopher A Longhurst; Troy L McGuire; Rod Tarrago; Bimal R Desai; Al Patterson
Journal:  J Patient Saf       Date:  2014-03       Impact factor: 2.844

10.  Voluntary anonymous reporting of medical errors for neonatal intensive care.

Authors:  Gautham Suresh; Jeffrey D Horbar; Paul Plsek; James Gray; William H Edwards; Patricia H Shiono; Robert Ursprung; Julianne Nickerson; Jerold F Lucey; Donald Goldmann
Journal:  Pediatrics       Date:  2004-06       Impact factor: 7.124

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  9 in total

1.  The tradeoffs between safety and alert fatigue: Data from a national evaluation of hospital medication-related clinical decision support.

Authors:  Zoe Co; A Jay Holmgren; David C Classen; Lisa Newmark; Diane L Seger; Melissa Danforth; David W Bates
Journal:  J Am Med Inform Assoc       Date:  2020-08-01       Impact factor: 4.497

2.  Are all certified EHRs created equal? Assessing the relationship between EHR vendor and hospital meaningful use performance.

Authors:  A Jay Holmgren; Julia Adler-Milstein; Jeffrey McCullough
Journal:  J Am Med Inform Assoc       Date:  2018-06-01       Impact factor: 4.497

3.  Local Investment in Training Drives Electronic Health Record User Satisfaction.

Authors:  Christopher A Longhurst; Taylor Davis; Amy Maneker; H C Eschenroeder; Rachel Dunscombe; George Reynolds; Brian Clay; Thomas Moran; David B Graham; Shannon M Dean; Julia Adler-Milstein
Journal:  Appl Clin Inform       Date:  2019-05-15       Impact factor: 2.342

4.  Structured override reasons for drug-drug interaction alerts in electronic health records.

Authors:  Adam Wright; Dustin S McEvoy; Skye Aaron; Allison B McCoy; Mary G Amato; Hyun Kim; Angela Ai; James J Cimino; Bimal R Desai; Robert El-Kareh; William Galanter; Christopher A Longhurst; Sameer Malhotra; Ryan P Radecki; Lipika Samal; Richard Schreiber; Eric Shelov; Anwar Mohammad Sirajuddin; Dean F Sittig
Journal:  J Am Med Inform Assoc       Date:  2019-10-01       Impact factor: 4.497

Review 5.  Optimising electronic prescribing in hospitals: a scoping review protocol.

Authors:  Jac Williams; David W Bates; Aziz Sheikh
Journal:  BMJ Health Care Inform       Date:  2020-01

6.  Association of Hospital Public Quality Reporting With Electronic Health Record Medication Safety Performance.

Authors:  A Jay Holmgren; David W Bates
Journal:  JAMA Netw Open       Date:  2021-09-01

7.  Development and pilot evaluation of an electronic health record usability and safety self-assessment tool.

Authors:  Zoe Pruitt; Jessica L Howe; Seth A Krevat; Saif Khairat; Raj M Ratwani
Journal:  JAMIA Open       Date:  2022-07-30

8.  National Trends in the Safety Performance of Electronic Health Record Systems From 2009 to 2018.

Authors:  David C Classen; A Jay Holmgren; Zoe Co; Lisa P Newmark; Diane Seger; Melissa Danforth; David W Bates
Journal:  JAMA Netw Open       Date:  2020-05-01

9.  Computer-based simulation to reduce EHR-related chemotherapy ordering errors.

Authors:  Kirk D Wyatt; Elizabeth B Freedman; Grace M Arteaga; Vilmarie Rodriguez; Deepti M Warad
Journal:  Cancer Med       Date:  2020-10-01       Impact factor: 4.452

  9 in total

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