help button home button JAMIA Bigger figures
HOME HELP FEEDBACK SUBSCRIPTIONS ARCHIVE SEARCH
First published June 7, 2004 as JAMIA PrePrint; doi:10.1197/jamia.M1534
Journal of the American Medical Informatics Association 2004;11(5):368-376
© 2004 American Medical Informatics Association

A more recent version of this article appeared on September 1, 2004
This Article
Right arrow Full Text (PDF)
Right arrow All Versions of this Article:
M1534v1
11/5/368    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 Goldstein, M. K.
Right arrow Articles by Hoffman, B. B.
Right arrow Search for Related Content
PubMed
Right arrow PubMed Citation
Right arrow Articles by Goldstein, M. K.
Right arrow Articles by Hoffman, B. B.

Submitted on January 13, 2004
Accepted on May 21, 2004

Translating Research Into Practice: SocioTechnical Integration of Automated Decision Support for Hypertension in Three Medical Centers

Mary K. Goldstein MD, MS1*, Robert W. Coleman MS, Samson W. Tu MS, Ravi D. Shankar MS, Martin J. O'Connor MSc, Mark A. Musen MD, PhD2, Susana B. Martins MD, MSc, Philip W. Lavori PhD, Michael G. Shlipak MD, MPH, Eugene Oddone MD, MHSc, Aneel A. Advani MD, Parisa Gholami MPH, and Brian B. Hoffman MD

Affiliation of the authors: 1 VA Palo Alto Health Care System, Palo Alto, CA; 2 Stanford Medical Informatics, Stanford University School of Medicine, Stanford, CA

* To whom correspondence should be addressed.

Information technology can support the implementation of clinical research findings in practice settings. Technology can address the quality gap in health care by providing automated decision support to clinicians that integrates guideline knowledge with electronic patient data to present real-time, patient specific recommendations. However, technical success in implementing decision support systems may not translate directly into system use by clinicians. Successful technology integration into clinical work settings requires explicit attention to the organizational context. We describe the application of a sociotechnical approach to integration of ATHENA DSS, a decision support system for treatment of hypertension, into geographically dispersed primary care clinics. We applied iterative technical design in response to organizational input and obtained ongoing endorsements of the project by the organization's administrative and clinical leadership. Conscious attention to organizational context at the time of development, deployment, and maintenance of the system was associated with extensive clinician use of the system.




This article has been cited by other articles:


Home page
 HypertensionHome page
C. A. Peralta, M. G. Shlipak, C. Wassel-Fyr, H. Bosworth, B. Hoffman, S. Martins, E. Oddone, and M. K. Goldstein
Association of Antihypertensive Therapy and Diastolic Hypotension in Chronic Kidney Disease
Hypertension, September 1, 2007; 50(3): 474 - 480.
[Abstract] [Full Text] [PDF]

Home page
 J. Am. Med. Inform. Assoc.Home page
D. M. Hynes, R. A. Perrin, S. Rappaport, J. M. Stevens, and J. G. Demakis
Informatics Resources to Support Health Care Quality Improvement in the Veterans Health Administration
J. Am. Med. Inform. Assoc., September 1, 2004; 11(5): 344 - 350.
[Abstract] [Full Text] [PDF]


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