help button home button JAMIA Hate scrolling?
HOME HELP FEEDBACK SUBSCRIPTIONS ARCHIVE SEARCH

First published April 18, 2006 as JAMIA PrePrint; doi:10.1197/jamia.M2008
Journal of the American Medical Informatics Association 2006;13(4):391-395
© 2006 American Medical Informatics Association


A more recent version of this article appeared on July 1, 2006
This Article
Right arrow Full Text (PDF)
Right arrow All Versions of this Article:
M2008v1
13/4/391    most recent
Right arrow Submit a response
Right arrow Alert me when this article is cited
Right arrow Alert me when eLetters are posted
Right arrow Alert me if a correction is posted
Services
Right arrow Similar articles in this journal
Right arrow Similar articles in PubMed
Right arrow Alert me to new issues of the journal
Right arrow Download to citation manager
Right arrow reprints & permissions
Citing Articles
Right arrow Citing Articles via HighWire
Right arrow Citing Articles via Google Scholar
Google Scholar
Right arrow Articles by Johnson, K. B.
Right arrow Articles by FitzHenry, F.
Right arrow Search for Related Content
PubMed
Right arrow PubMed Citation
Right arrow Articles by Johnson, K. B.
Right arrow Articles by FitzHenry, F.

Submitted on November 2, 2005
Accepted on March 24, 2006

Case Report: Activity Diagrams for Integrating Electronic Prescribing Tools into Clinical Workflow

Kevin B. Johnson MD, MS1* and Fern FitzHenry PhD, RN1

Affiliation of the authors: 1 Department of Biomedical Informatics, Vanderbilt University, Nashville, TN

* To whom correspondence should be addressed.

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 e-prescribing system to meet the specific workflows of various clinic settings.




This article has been cited by other articles:


Home page
J. Am. Med. Inform. Assoc.Home page
A. H. Zai, R. W. Grant, G. Estey, W. T. Lester, C. T. Andrews, R. Yee, E. Mort, and H. C. Chueh
Lessons from Implementing a Combined Workflow-Informatics System for Diabetes Management
J. Am. Med. Inform. Assoc., July 1, 2008; 15(4): 524 - 533.
[Abstract] [Full Text] [PDF]


Home page
J. Am. Med. Inform. Assoc.Home page
S. T. Rosenbloom
Approaches to Evaluating Electronic Prescribing
J. Am. Med. Inform. Assoc., July 1, 2006; 13(4): 399 - 401.
[Full Text] [PDF]




HOME HELP FEEDBACK SUBSCRIPTIONS ARCHIVE SEARCH
Copyright © 1994 by the American Medical Informatics Association.