Literature DB >> 17931963

Assessing the anticipated consequences of Computer-based Provider Order Entry at three community hospitals using an open-ended, semi-structured survey instrument.

Dean F Sittig1, Joan S Ash, Ken P Guappone, Emily M Campbell, Richard H Dykstra.   

Abstract

OBJECTIVE: To determine what "average" clinicians in organizations that were about to implement Computer-based Provider Order Entry (CPOE) were expecting to occur, we conducted an open-ended, semi-structured survey at three community hospitals.
METHODS: We created an open-ended, semi-structured, interview survey template that we customized for each organization. This interview-based survey was designed to be administered orally to clinicians and take approximately 5 min to complete, although clinicians were allowed to discuss as many advantages or disadvantages of the impending system roll-out as they wanted to.
RESULTS: Our survey findings did not reveal any overly negative, critical, problematic, or striking sets of concerns. However, from the standpoint of unintended consequences, we found that clinicians were anticipating only a few of the events, emotions, and process changes that are likely to result from CPOE.
CONCLUSIONS: The results of such an open-ended survey may prove useful in helping CPOE leaders to understand user perceptions and predictions about CPOE, because it can expose issues about which more communication, or discussion, is needed. Using the survey, implementation strategies and management techniques outlined in this paper, any chief information officer (CIO) or chief medical information officer (CMIO) should be able to adequately assess their organization's CPOE readiness, make the necessary mid-course corrections, and be prepared to deal with the currently identified unintended consequences of CPOE should they occur.

Mesh:

Year:  2007        PMID: 17931963      PMCID: PMC2668516          DOI: 10.1016/j.ijmedinf.2007.08.005

Source DB:  PubMed          Journal:  Int J Med Inform        ISSN: 1386-5056            Impact factor:   4.046


  23 in total

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2.  Understanding hospital readiness for computerized physician order entry.

Authors:  Dona Stablein; Emily Welebob; Elizabeth Johnson; Jane Metzger; Robert Burgess; David C Classen
Journal:  Jt Comm J Qual Saf       Date:  2003-07

3.  Computer physician order entry: benefits, costs, and issues.

Authors:  Gilad J Kuperman; Richard F Gibson
Journal:  Ann Intern Med       Date:  2003-07-01       Impact factor: 25.391

4.  Harmonic divergence. Cedars-Sinai joins others in holding off on CPOE.

Authors:  John Morrissey
Journal:  Mod Healthc       Date:  2004-02-23

5.  High rates of adverse drug events in a highly computerized hospital.

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

6.  Overdependence on technology: an unintended adverse consequence of computerized provider order entry.

Authors:  Emily M Campbell; Dean F Sittig; Kenneth P Guappone; Richard H Dykstra; Joan S Ash
Journal:  AMIA Annu Symp Proc       Date:  2007-10-11

7.  Introducing physician order entry at a major academic medical center: I. Impact on organizational culture and behavior.

Authors:  T A Massaro
Journal:  Acad Med       Date:  1993-01       Impact factor: 6.893

8.  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

9.  Implementing computerized physician order entry: the importance of special people.

Authors:  Joan S Ash; P Zoë Stavri; Richard Dykstra; Lara Fournier
Journal:  Int J Med Inform       Date:  2003-03       Impact factor: 4.046

10.  Does failure breed success: narrative analysis of stories about computerized provider order entry.

Authors:  P Zoë Stavri; Joan S Ash
Journal:  Int J Med Inform       Date:  2003-12       Impact factor: 4.046

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  11 in total

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Review 2.  Does computerized provider order entry reduce prescribing errors for hospital inpatients? A systematic review.

Authors:  Margaret H Reckmann; Johanna I Westbrook; Yvonne Koh; Connie Lo; Richard O Day
Journal:  J Am Med Inform Assoc       Date:  2009-06-30       Impact factor: 4.497

Review 3.  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

4.  A mixed methods approach for measuring the impact of delivery-centric interventions on clinician workflow.

Authors:  Rhonda G Cady; Stanley M Finkelstein
Journal:  AMIA Annu Symp Proc       Date:  2012-11-03

5.  Adoption of health information exchange by emergency physicians at three urban academic medical centers.

Authors:  N Genes; J Shapiro; S Vaidya; G Kuperman
Journal:  Appl Clin Inform       Date:  2011-07-13       Impact factor: 2.342

6.  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

7.  Lessons learned from implementation of computerized provider order entry in 5 community hospitals: a qualitative study.

Authors:  Steven R Simon; Carol A Keohane; Mary Amato; Michael Coffey; Bismarck Cadet; Eyal Zimlichman; David W Bates
Journal:  BMC Med Inform Decis Mak       Date:  2013-06-24       Impact factor: 2.796

Review 8.  Reduction in medication errors in hospitals due to adoption of computerized provider order entry systems.

Authors:  David C Radley; Melanie R Wasserman; Lauren Ew Olsho; Sarah J Shoemaker; Mark D Spranca; Bethany Bradshaw
Journal:  J Am Med Inform Assoc       Date:  2013-02-20       Impact factor: 4.497

9.  Clinician Perceptions on the Use of Free-Text Communication Orders.

Authors:  Swaminathan Kandaswamy; Zoe Pruitt; Sadaf Kazi; Jenna Marquard; Saba Owens; Daniel J Hoffman; Raj M Ratwani; Aaron Z Hettinger
Journal:  Appl Clin Inform       Date:  2021-06-02       Impact factor: 2.762

10.  Communication through the electronic health record: frequency and implications of free text orders.

Authors:  Swaminathan Kandaswamy; Aaron Z Hettinger; Daniel J Hoffman; Raj M Ratwani; Jenna Marquard
Journal:  JAMIA Open       Date:  2020-07-06
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