Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Experiment Videos

Development and implementation of computerized clinical guidelines: barriers and solutions.

M H Trivedi1, J K Kern, A Marcee

  • 1Department of Psychiatry, University of Texas Southwestern Medical Center at Dallas, Dallas, USA. madhukar.trivedi@utsouthwestern.edu

Methods of Information in Medicine
|December 28, 2002
PubMed
Summary

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

TB preventive therapy: uptake and time to initiation during implementation of '7-1-7'.

IJTLD open·2024
Same author

Applying 'timeliness' to the screening and prevention of TB in household contacts of pulmonary TB patients.

IJTLD open·2024
Same author

Timeliness metrics for screening and preventing TB in household contacts of pulmonary TB patients in Kenya.

IJTLD open·2024
Same author

Using timeliness metrics for household contact tracing and TB preventive therapy in the private sector, India.

The international journal of tuberculosis and lung disease : the official journal of the International Union against Tuberculosis and Lung Disease·2024
Same author

Gender and racial/ethnic differences in physiologic responses in the Stimulant Reduction Intervention using Dosed Exercise Study.

Addictive behaviors·2020
Same author

Racial and ethnic differences in treatment outcomes among adults with stimulant use disorders after a dosed exercise intervention.

Journal of ethnicity in substance abuse·2017

Computerized decision support systems (CDSSs) offer clinical benefits but face implementation barriers. End-user feedback and involvement are key to overcoming challenges and improving CDSS acceptance and use.

Area of Science:

  • Health Informatics
  • Clinical Decision Support
  • Healthcare Implementation Science

Background:

  • Computerized decision support systems (CDSSs) show potential to enhance clinical performance and patient outcomes.
  • Despite proven benefits, widespread adoption of CDSSs remains limited, mirroring challenges in implementing general physician guidelines.
  • While digital formats can mitigate some traditional guideline barriers, CDSSs introduce unique technical and user interface challenges.

Purpose of the Study:

  • To identify barriers to the implementation of clinical guidelines and CDSSs.
  • To emphasize the critical role of physicians in the development, implementation, and adherence to CDSSs.
  • To explore methods for improving CDSS acceptance and utilization.

Main Methods:

Related Experiment Videos

  • Literature review of barriers to guideline and CDSS implementation.
  • Analysis of lessons learned from various CDSS implementation projects.
  • Examination of strategies for enhancing end-user feedback and involvement.
  • Main Results:

    • Human, organizational, and technical factors present significant barriers to CDSS implementation.
    • Successful CDSS implementation hinges on methods derived from practical experience, particularly those involving end-user engagement.
    • Addressing physician attitudes and incorporating user feedback are crucial for successful CDSS adoption.

    Conclusions:

    • Overcoming CDSS implementation barriers requires strategic approaches focusing on user-centric design and feedback mechanisms.
    • Physician involvement throughout the CDSS lifecycle is paramount for successful integration into clinical practice.
    • Effective utilization of CDSSs necessitates understanding and mitigating user-related challenges through continuous feedback and adaptation.