Literature DB >> 16622168

Case report: activity diagrams for integrating electronic prescribing tools into clinical workflow.

Kevin B Johnson1, Fern Fitzhenry.   

Abstract

To facilitate the future implementation of an electronic prescribing system, this case study modeled prescription management processes in various primary care settings. The Vanderbilt e-prescribing design team conducted initial interviews with clinic managers, physicians and nurses, and then represented the sequences of steps carried out to complete prescriptions in activity diagrams. The diagrams covered outpatient prescribing for patients during a clinic visit and between clinic visits. Practice size, practice setting, and practice specialty type influenced the prescribing processes used. The model developed may be useful to others engaged in building or tailoring an e-prescribing system to meet the specific workflows of various clinic settings.

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Year:  2006        PMID: 16622168      PMCID: PMC1513671          DOI: 10.1197/jamia.M2008

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


  16 in total

1.  The transition to automated practitioner order entry in a teaching hospital: the VA Puget Sound experience.

Authors:  T H Payne
Journal:  Proc AMIA Symp       Date:  1999

Review 2.  A consensus statement on considerations for a successful CPOE implementation.

Authors:  Joan S Ash; P Zoe Stavri; Gilad J Kuperman
Journal:  J Am Med Inform Assoc       Date:  2003-01-28       Impact factor: 4.497

Review 3.  Electronic prescribing: a review of costs and benefits.

Authors:  Sarah T Corley
Journal:  Top Health Inf Manage       Date:  2003 Jan-Mar

4.  A conceptual framework for evaluating outpatient electronic prescribing systems based on their functional capabilities.

Authors:  Douglas S Bell; Shan Cretin; Richard S Marken; Adam B Landman
Journal:  J Am Med Inform Assoc       Date:  2003-10-05       Impact factor: 4.497

5.  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

6.  Computerized physician order entry in U.S. hospitals: results of a 2002 survey.

Authors:  Joan S Ash; Paul N Gorman; Veena Seshadri; William R Hersh
Journal:  J Am Med Inform Assoc       Date:  2003-11-21       Impact factor: 4.497

7.  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

8.  The effect of computer-assisted prescription writing on emergency department prescription errors.

Authors:  Kenneth E Bizovi; Brandon E Beckley; Michelle C McDade; Annette L Adams; Robert A Lowe; Andrew D Zechnich; Jerris R Hedges
Journal:  Acad Emerg Med       Date:  2002-11       Impact factor: 3.451

9.  Prescribing costs when computers are used to issue all prescriptions.

Authors:  J B Donald
Journal:  BMJ       Date:  1989-07-01

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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  16 in total

1.  Commentary on the federal government's role in influencing e-prescribing use and research.

Authors:  Olufunmilola K Odukoya; Michelle A Chui
Journal:  Perspect Health Inf Manag       Date:  2012-04-01

Review 2.  Traversing the many paths of workflow research: developing a conceptual framework of workflow terminology through a systematic literature review.

Authors:  Kim M Unertl; Laurie L Novak; Kevin B Johnson; Nancy M Lorenzi
Journal:  J Am Med Inform Assoc       Date:  2010 May-Jun       Impact factor: 4.497

3.  Impact of generic substitution decision support on electronic prescribing behavior.

Authors:  Shane P Stenner; Qingxia Chen; Kevin B Johnson
Journal:  J Am Med Inform Assoc       Date:  2010 Nov-Dec       Impact factor: 4.497

4.  Approaches to evaluating electronic prescribing.

Authors:  S Trent Rosenbloom
Journal:  J Am Med Inform Assoc       Date:  2006 Jul-Aug       Impact factor: 4.497

5.  Improving specialist drug prescribing in primary care using task and error analysis: an observational study.

Authors:  Narinder Chana; Talya Porat; Cate Whittlesea; Brendan Delaney
Journal:  Br J Gen Pract       Date:  2017-02-13       Impact factor: 5.386

6.  Lessons from implementing a combined workflow-informatics system for diabetes management.

Authors:  Adrian H Zai; Richard W Grant; Greg Estey; William T Lester; Carl T Andrews; Ronnie Yee; Elizabeth Mort; Henry C Chueh
Journal:  J Am Med Inform Assoc       Date:  2008-04-24       Impact factor: 4.497

Review 7.  Computerization of workflows, guidelines, and care pathways: a review of implementation challenges for process-oriented health information systems.

Authors:  Phil Gooch; Abdul Roudsari
Journal:  J Am Med Inform Assoc       Date:  2011-07-01       Impact factor: 4.497

8.  AMDIS Case Conference: Intrusive Medication Safety Alerts.

Authors:  J Graham; D Levick; R Schreiber
Journal:  Appl Clin Inform       Date:  2010-04-07       Impact factor: 2.342

9.  Cognitive analysis of decision support for antibiotic ordering in a neonatal intensive care unit.

Authors:  B Sheehan; D Kaufman; S Bakken; L M Currie
Journal:  Appl Clin Inform       Date:  2012-03-14       Impact factor: 2.342

10.  Standardizing clinical trials workflow representation in UML for international site comparison.

Authors:  Elias Cesar Araujo de Carvalho; Madhav Kishore Jayanti; Adelia Portero Batilana; Andreia M O Kozan; Maria J Rodrigues; Jatin Shah; Marco R Loures; Sunita Patil; Philip Payne; Ricardo Pietrobon
Journal:  PLoS One       Date:  2010-11-09       Impact factor: 3.240

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