Skip to main content
construction release_alert
Scholars@Duke will be undergoing maintenance April 11-15. Some features may be unavailable during this time.
cancel
Journal cover image

Translating research into practice: organizational issues in implementing automated decision support for hypertension in three medical centers.

Publication ,  Journal Article
Goldstein, MK; Coleman, RW; Tu, SW; Shankar, RD; O'Connor, MJ; Musen, MA; Martins, SB; Lavori, PW; Shlipak, MG; Oddone, E; Advani, AA ...
Published in: J Am Med Inform Assoc
2004

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 the treatment of hypertension, into geographically dispersed primary care clinics. We applied an 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.

Duke Scholars

Published In

J Am Med Inform Assoc

DOI

ISSN

1067-5027

Publication Date

2004

Volume

11

Issue

5

Start / End Page

368 / 376

Location

England

Related Subject Headings

  • User-Computer Interface
  • Therapy, Computer-Assisted
  • Systems Integration
  • Organizational Innovation
  • Medical Records Systems, Computerized
  • Medical Informatics
  • Hypertension
  • Humans
  • Decision Support Systems, Clinical
  • Artificial Intelligence
 

Citation

APA
Chicago
ICMJE
MLA
NLM
Goldstein, M. K., Coleman, R. W., Tu, S. W., Shankar, R. D., O’Connor, M. J., Musen, M. A., … Hoffman, B. B. (2004). Translating research into practice: organizational issues in implementing automated decision support for hypertension in three medical centers. J Am Med Inform Assoc, 11(5), 368–376. https://doi.org/10.1197/jamia.M1534
Goldstein, Mary K., Robert W. Coleman, Samson W. Tu, Ravi D. Shankar, Martin J. O’Connor, Mark A. Musen, Susana B. Martins, et al. “Translating research into practice: organizational issues in implementing automated decision support for hypertension in three medical centers.J Am Med Inform Assoc 11, no. 5 (2004): 368–76. https://doi.org/10.1197/jamia.M1534.
Goldstein MK, Coleman RW, Tu SW, Shankar RD, O’Connor MJ, Musen MA, et al. Translating research into practice: organizational issues in implementing automated decision support for hypertension in three medical centers. J Am Med Inform Assoc. 2004;11(5):368–76.
Goldstein, Mary K., et al. “Translating research into practice: organizational issues in implementing automated decision support for hypertension in three medical centers.J Am Med Inform Assoc, vol. 11, no. 5, 2004, pp. 368–76. Pubmed, doi:10.1197/jamia.M1534.
Goldstein MK, Coleman RW, Tu SW, Shankar RD, O’Connor MJ, Musen MA, Martins SB, Lavori PW, Shlipak MG, Oddone E, Advani AA, Gholami P, Hoffman BB. Translating research into practice: organizational issues in implementing automated decision support for hypertension in three medical centers. J Am Med Inform Assoc. 2004;11(5):368–376.
Journal cover image

Published In

J Am Med Inform Assoc

DOI

ISSN

1067-5027

Publication Date

2004

Volume

11

Issue

5

Start / End Page

368 / 376

Location

England

Related Subject Headings

  • User-Computer Interface
  • Therapy, Computer-Assisted
  • Systems Integration
  • Organizational Innovation
  • Medical Records Systems, Computerized
  • Medical Informatics
  • Hypertension
  • Humans
  • Decision Support Systems, Clinical
  • Artificial Intelligence