Literature DB >> 24154836

Unrealized potential and residual consequences of electronic prescribing on pharmacy workflow in the outpatient pharmacy.

Karen C Nanji1, Jeffrey M Rothschild, Jennifer J Boehne, Carol A Keohane, Joan S Ash, Eric G Poon.   

Abstract

INTRODUCTION: Electronic prescribing systems have often been promoted as a tool for reducing medication errors and adverse drug events. Recent evidence has revealed that adoption of electronic prescribing systems can lead to unintended consequences such as the introduction of new errors. The purpose of this study is to identify and characterize the unrealized potential and residual consequences of electronic prescribing on pharmacy workflow in an outpatient pharmacy.
METHODS: A multidisciplinary team conducted direct observations of workflow in an independent pharmacy and semi-structured interviews with pharmacy staff members about their perceptions of the unrealized potential and residual consequences of electronic prescribing systems. We used qualitative methods to iteratively analyze text data using a grounded theory approach, and derive a list of major themes and subthemes related to the unrealized potential and residual consequences of electronic prescribing.
RESULTS: We identified the following five themes: Communication, workflow disruption, cost, technology, and opportunity for new errors. These contained 26 unique subthemes representing different facets of our observations and the pharmacy staff's perceptions of the unrealized potential and residual consequences of electronic prescribing. DISCUSSION: We offer targeted solutions to improve electronic prescribing systems by addressing the unrealized potential and residual consequences that we identified. These recommendations may be applied not only to improve staff perceptions of electronic prescribing systems but also to improve the design and/or selection of these systems in order to optimize communication and workflow within pharmacies while minimizing both cost and the potential for the introduction of new errors.

Entities:  

Keywords:  Electronic prescribing; Medication errors; Pharmacy care; Unintended consequences

Mesh:

Year:  2013        PMID: 24154836      PMCID: PMC3994858          DOI: 10.1136/amiajnl-2013-001839

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


  23 in total

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Authors:  Adrienne M Gilligan; Kimberly Miller; Adam Mohney; Courtney Montenegro; Jacob Schwarz; Terri L Warholak
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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.  Exploring the unintended consequences of computerized physician order entry.

Authors:  Joan S Ash; Dean F Sittig; Richard Dykstra; Emily Campbell; Kenneth Guappone
Journal:  Stud Health Technol Inform       Date:  2007

4.  Can we cross the quality chasm? The case for realistic optimism.

Authors:  Thomas H Lee
Journal:  Am Heart Hosp J       Date:  2006

5.  Overcoming barriers to the implementation of a pharmacy bar code scanning system for medication dispensing: a case study.

Authors:  Karen C Nanji; Jennifer Cina; Nirali Patel; William Churchill; Tejal K Gandhi; Eric G Poon
Journal:  J Am Med Inform Assoc       Date:  2009-06-30       Impact factor: 4.497

6.  Errors associated with outpatient computerized prescribing systems.

Authors:  Karen C Nanji; Jeffrey M Rothschild; Claudia Salzberg; Carol A Keohane; Katherine Zigmont; Jim Devita; Tejal K Gandhi; Anuj K Dalal; David W Bates; Eric G Poon
Journal:  J Am Med Inform Assoc       Date:  2011-06-29       Impact factor: 4.497

Review 7.  A review of medication incidents reported to the National Reporting and Learning System in England and Wales over 6 years (2005-2010).

Authors:  David H Cousins; David Gerrett; Bruce Warner
Journal:  Br J Clin Pharmacol       Date:  2012-10       Impact factor: 4.335

8.  Perceptions of house officers who use physician order entry.

Authors:  J S Ash; P N Gorman; W R Hersh; M Lavelle; S B Poulsen
Journal:  Proc AMIA Symp       Date:  1999

9.  The unintended consequences of computerized provider order entry: findings from a mixed methods exploration.

Authors:  Joan S Ash; Dean F Sittig; Richard Dykstra; Emily Campbell; Kenneth Guappone
Journal:  Int J Med Inform       Date:  2008-09-12       Impact factor: 4.046

10.  Drug errors and related interventions reported by United States clinical pharmacists: the American College of Clinical Pharmacy practice-based research network medication error detection, amelioration and prevention study.

Authors:  Grace M Kuo; Daniel R Touchette; Jacqueline S Marinac
Journal:  Pharmacotherapy       Date:  2013-02-01       Impact factor: 4.705

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  15 in total

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Authors:  Ajit A Dhavle; Stacy Ward-Charlerie; Michael T Rupp; John Kilbourne; Vishal P Amin; Joshua Ruiz
Journal:  J Am Med Inform Assoc       Date:  2015-10-28       Impact factor: 4.497

2.  Automatic Errors: A Case Series on the Errors Inherent in Electronic Prescribing.

Authors:  Laura M Lourenco; Adam Bursua; Vicki L Groo
Journal:  J Gen Intern Med       Date:  2016-02-16       Impact factor: 5.128

Review 3.  Usability Flaws in Medication Alerting Systems: Impact on Usage and Work System.

Authors:  R Marcilly; E Ammenwerth; E Roehrer; S Pelayo; F Vasseur; M-C Beuscart-Zéphir
Journal:  Yearb Med Inform       Date:  2015-06-30

4.  Design challenges for electronic medication administration record systems in residential aged care facilities: a formative evaluation.

Authors:  A Tariq; E Lehnbom; K Oliver; A Georgiou; C Rowe; T Osmond; J Westbrook
Journal:  Appl Clin Inform       Date:  2014-11-17       Impact factor: 2.342

Review 5.  A Survey of the Literature on Unintended Consequences Associated with Health Information Technology: 2014-2015.

Authors:  K Zheng; J Abraham; L L Novak; T L Reynolds; A Gettinger
Journal:  Yearb Med Inform       Date:  2016-11-10

Review 6.  Understanding Unintended Consequences and Health Information Technology:. Contribution from the IMIA Organizational and Social Issues Working Group.

Authors:  C E Kuziemsky; R Randell; E M Borycki
Journal:  Yearb Med Inform       Date:  2016-11-10

7.  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

8.  Clinician Perspectives on Electronic Health Records, Communication, and Patient Safety Across Diverse Medical Oncology Practices.

Authors:  Minal R Patel; Christopher R Friese; Kari Mendelsohn-Victor; Alex J Fauer; Bidisha Ghosh; Louise Bedard; Jennifer J Griggs; Milisa Manojlovich
Journal:  J Oncol Pract       Date:  2019-04-22       Impact factor: 3.840

9.  Development of a Perioperative Medication-Related Clinical Decision Support Tool to Prevent Medication Errors: An Analysis of User Feedback.

Authors:  Karen C Nanji; Pamela M Garabedian; Sofia D Shaikh; Marin E Langlieb; Aziz Boxwala; William J Gordon; David W Bates
Journal:  Appl Clin Inform       Date:  2021-11-24       Impact factor: 2.342

Review 10.  A systematic review of the types and causes of prescribing errors generated from using computerized provider order entry systems in primary and secondary care.

Authors:  Clare L Brown; Helen L Mulcaster; Katherine L Triffitt; Dean F Sittig; Joan S Ash; Katie Reygate; Andrew K Husband; David W Bates; Sarah P Slight
Journal:  J Am Med Inform Assoc       Date:  2017-03-01       Impact factor: 4.497

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