Literature DB >> 20595316

An unintended consequence of electronic prescriptions: prevalence and impact of internal discrepancies.

Matvey B Palchuk1, Elizabeth A Fang, Janet M Cygielnik, Matthew Labreche, Maria Shubina, Harley Z Ramelson, Claus Hamann, Carol Broverman, Jonathan S Einbinder, Alexander Turchin.   

Abstract

Many e-prescribing systems allow for both structured and free-text fields in prescriptions, making possible internal discrepancies. This study reviewed 2914 electronic prescriptions that contained free-text fields. Internal discrepancies were found in 16.1% of the prescriptions. Most (83.8%) of the discrepancies could potentially lead to adverse events and many (16.8%) to severe adverse events, involving a hospital admission or death. Discrepancies in doses, routes or complex regimens were most likely to have a potential for a severe event (p=0.0001). Discrepancies between structured and free-text fields in electronic prescriptions are common and can cause patient harm. Improvements in electronic medical record design are necessary to minimize the risk of discrepancies and resulting adverse events.

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Year:  2010        PMID: 20595316      PMCID: PMC2995649          DOI: 10.1136/jamia.2010.003335

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


  22 in total

1.  Some unintended consequences of information technology in health care: the nature of patient care information system-related errors.

Authors:  Joan S Ash; Marc Berg; Enrico Coiera
Journal:  J Am Med Inform Assoc       Date:  2003-11-21       Impact factor: 4.497

2.  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

3.  Improving the quality of medication use in elderly patients: a not-so-simple prescription.

Authors:  Jerry H Gurwitz; Paula Rochon
Journal:  Arch Intern Med       Date:  2002 Aug 12-26

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Authors:  Jonathan R Nebeker; Jennifer M Hoffman; Charlene R Weir; Charles L Bennett; John F Hurdle
Journal:  Arch Intern Med       Date:  2005-05-23

5.  Insulin prescription errors.

Authors:  John Mathew; V K Senthil
Journal:  J Postgrad Med       Date:  2005 Apr-Jun       Impact factor: 1.476

6.  Unintended errors with EHR-based result management: a case series.

Authors:  Thomas R Yackel; Peter J Embi
Journal:  J Am Med Inform Assoc       Date:  2010 Jan-Feb       Impact factor: 4.497

7.  Error in medicine.

Authors:  L L Leape
Journal:  JAMA       Date:  1994-12-21       Impact factor: 56.272

8.  Prescription-writing patterns and errors in a family medicine residency program.

Authors:  A F Shaughnessy; R O Nickel
Journal:  J Fam Pract       Date:  1989-09       Impact factor: 0.493

9.  Comprehensive analysis of a medication dosing error related to CPOE.

Authors:  Jan Horsky; Gilad J Kuperman; Vimla L Patel
Journal:  J Am Med Inform Assoc       Date:  2005-03-31       Impact factor: 4.497

10.  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

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  26 in total

1.  E-prescribing errors in community pharmacies: exploring consequences and contributing factors.

Authors:  Olufunmilola K Odukoya; Jamie A Stone; Michelle A Chui
Journal:  Int J Med Inform       Date:  2014-03-04       Impact factor: 4.046

2.  Collaborative search in electronic health records.

Authors:  Kai Zheng; Qiaozhu Mei; David A Hanauer
Journal:  J Am Med Inform Assoc       Date:  2011-05-01       Impact factor: 4.497

3.  Evaluation of the NCPDP Structured and Codified Sig Format for e-prescriptions.

Authors:  Hangsheng Liu; Q Burkhart; Douglas S Bell
Journal:  J Am Med Inform Assoc       Date:  2011-05-25       Impact factor: 4.497

4.  An Interdisciplinary Approach to Reducing Errors in Extracted Electronic Health Record Data for Research.

Authors:  Neelkamal Soares; Sorabh Singhal; Casey Kloosterman; Teresa Bailey
Journal:  Perspect Health Inf Manag       Date:  2021-03-15

5.  Evaluation of a user guidance reminder to improve the quality of electronic prescription messages.

Authors:  A A Dhavle; S T Corley; M T Rupp; J Ruiz; J Smith; R Gill; M Sow
Journal:  Appl Clin Inform       Date:  2014-08-06       Impact factor: 2.342

6.  Effect of EHR user interface changes on internal prescription discrepancies.

Authors:  A Turchin; A Sawarkar; Y A Dementieva; E Breydo; H Ramelson
Journal:  Appl Clin Inform       Date:  2014-08-06       Impact factor: 2.342

7.  Unexpected effects of unintended consequences: EMR prescription discrepancies and hemorrhage in patients on warfarin.

Authors:  Alexander Turchin; Maria Shubina; Saveli Goldberg
Journal:  AMIA Annu Symp Proc       Date:  2011-10-22

Review 8.  Prescribing errors in hospital practice.

Authors:  Mary P Tully
Journal:  Br J Clin Pharmacol       Date:  2012-10       Impact factor: 4.335

9.  Enhancement of decision rules to increase generalizability and performance of the rule-based system assessing risk for pressure ulcer.

Authors:  J Choi; H Kim
Journal:  Appl Clin Inform       Date:  2013-06-05       Impact factor: 2.342

10.  Analysis of medication therapy discontinuation orders in new electronic prescriptions and opportunities for implementing CancelRx.

Authors:  Yuze Yang; Stacy Ward-Charlerie; Nitu Kashyap; Richelle DeMayo; Thomas Agresta; James Green
Journal:  J Am Med Inform Assoc       Date:  2018-11-01       Impact factor: 4.497

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