Literature DB >> 17712088

The impact of e-prescribing on prescriber and staff time in ambulatory care clinics: a time motion study.

William Hollingworth1, Emily Beth Devine, Ryan N Hansen, Nathan M Lawless, Bryan A Comstock, Jennifer L Wilson-Norton, Kathleen L Tharp, Sean D Sullivan.   

Abstract

Electronic prescribing has improved the quality and safety of care. One barrier preventing widespread adoption is the potential detrimental impact on workflow. We used time-motion techniques to compare prescribing times at three ambulatory care sites that used paper-based prescribing, desktop, or laptop e-prescribing. An observer timed all prescriber (n = 27) and staff (n = 42) tasks performed during a 4-hour period. At the sites with optional e-prescribing >75% of prescription-related events were performed electronically. Prescribers at e-prescribing sites spent less time writing, but time-savings were offset by increased computer tasks. After adjusting for site, prescriber and prescription type, e-prescribing tasks took marginally longer than hand written prescriptions (12.0 seconds; -1.6, 25.6 CI). Nursing staff at the e-prescribing sites spent longer on computer tasks (5.4 minutes/hour; 0.0, 10.7 CI). E-prescribing was not associated with an increase in combined computer and writing time for prescribers. If carefully implemented, e-prescribing will not greatly disrupt workflow.

Mesh:

Year:  2007        PMID: 17712088      PMCID: PMC2213487          DOI: 10.1197/jamia.M2377

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


  28 in total

1.  Will the wave finally break? A brief view of the adoption of electronic medical records in the United States.

Authors:  Eta S Berner; Don E Detmer; Donald Simborg
Journal:  J Am Med Inform Assoc       Date:  2004-10-18       Impact factor: 4.497

2.  Factors and forces affecting EHR system adoption: report of a 2004 ACMI discussion.

Authors:  Joan S Ash; David W Bates
Journal:  J Am Med Inform Assoc       Date:  2004-10-18       Impact factor: 4.497

3.  Accelerating U.S. EHR adoption: how to get there from here. recommendations based on the 2004 ACMI retreat.

Authors:  Blackford Middleton; W Ed Hammond; Patricia F Brennan; Gregory F Cooper
Journal:  J Am Med Inform Assoc       Date:  2004-10-18       Impact factor: 4.497

4.  e-Prescribing, efficiency, quality: lessons from the computerization of UK family practice.

Authors:  Charles P Schade; Frank M Sullivan; Simon de Lusignan; Jean Madeley
Journal:  J Am Med Inform Assoc       Date:  2006-06-23       Impact factor: 4.497

5.  National Ambulatory Medical Care Survey: 1991 summary.

Authors:  S M Schappert
Journal:  Vital Health Stat 13       Date:  1994-05

6.  Work-sampling: a statistical approach to evaluation of the effect of computers on work patterns in healthcare.

Authors:  D F Sittig
Journal:  Methods Inf Med       Date:  1993-04       Impact factor: 2.176

7.  Impact of computerized physician order entry on physician time.

Authors:  D W Bates; D L Boyle; J M Teich
Journal:  Proc Annu Symp Comput Appl Med Care       Date:  1994

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

Authors:  D W Bates; J M Teich; J Lee; D Seger; G J Kuperman; N Ma'Luf; D Boyle; L Leape
Journal:  J Am Med Inform Assoc       Date:  1999 Jul-Aug       Impact factor: 4.497

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.  Effect of computerized physician order entry and a team intervention on prevention of serious medication errors.

Authors:  D W Bates; L L Leape; D J Cullen; N Laird; L A Petersen; J M Teich; E Burdick; M Hickey; S Kleefield; B Shea; M Vander Vliet; D L Seger
Journal:  JAMA       Date:  1998-10-21       Impact factor: 56.272

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  33 in total

1.  Systematic refinement of a health information technology time and motion workflow instrument for inpatient nursing care using a standardized interface terminology.

Authors:  Yi Zhang; Karen A Monsen; Terrence J Adam; David S Pieczkiewicz; Megan Daman; Genevieve B Melton
Journal:  AMIA Annu Symp Proc       Date:  2011-10-22

2.  Quantifying the impact of health IT implementations on clinical workflow: a new methodological perspective.

Authors:  Kai Zheng; Hilary M Haftel; Ronald B Hirschl; Michael O'Reilly; David A Hanauer
Journal:  J Am Med Inform Assoc       Date:  2010 Jul-Aug       Impact factor: 4.497

3.  Exploring Dental Providers' Workflow in an Electronic Dental Record Environment.

Authors:  Kelsey M Schwei; Ryan Cooper; Andrea N Mahnke; Zhan Ye; Amit Acharya
Journal:  Appl Clin Inform       Date:  2016-06-15       Impact factor: 2.342

4.  Negative CPOE attitudes correlate with diminished power in the workplace.

Authors:  Christa E Bartos; Brian S Butler; Louis E Penrod; Douglas B Fridsma; Rebecca S Crowley
Journal:  AMIA Annu Symp Proc       Date:  2008-11-06

5.  Electronic prescribing at the point of care: a time-motion study in the primary care setting.

Authors:  Emily Beth Devine; William Hollingworth; Ryan N Hansen; Nathan M Lawless; Jennifer L Wilson-Norton; Diane P Martin; David K Blough; Sean D Sullivan
Journal:  Health Serv Res       Date:  2009-11-19       Impact factor: 3.402

6.  Using the time and motion method to study clinical work processes and workflow: methodological inconsistencies and a call for standardized research.

Authors:  Kai Zheng; Michael H Guo; David A Hanauer
Journal:  J Am Med Inform Assoc       Date:  2011-04-27       Impact factor: 4.497

7.  Meaningful use of electronic prescribing in 5 exemplar primary care practices.

Authors:  Jesse C Crosson; Rebecca S Etz; Shinyi Wu; Susan G Straus; David Eisenman; Douglas S Bell
Journal:  Ann Fam Med       Date:  2011 Sep-Oct       Impact factor: 5.166

8.  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

9.  Physicians' attitudes towards ePrescribing--evaluation of a Swedish full-scale implementation.

Authors:  Lina Hellström; Karolina Waern; Emelie Montelius; Bengt Astrand; Tony Rydberg; Göran Petersson
Journal:  BMC Med Inform Decis Mak       Date:  2009-08-07       Impact factor: 2.796

Review 10.  A knowledge-based taxonomy of critical factors for adopting electronic health record systems by physicians: a systematic literature review.

Authors:  Víctor H Castillo; Ana I Martínez-García; J R G Pulido
Journal:  BMC Med Inform Decis Mak       Date:  2010-10-15       Impact factor: 2.796

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