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

Clinical guidelines contextualization in GLARE.

Alessio Bottrighi1, Paolo Terenziani, Stefania Montani

  • 1DI, Univ. del Piemonte Orientale, Amedeo Avogadro, Via Bellini 25/g, 15100 Alessandria, Italy. alessio.bottrighi@mfn.unipmn.it

AMIA ... Annual Symposium Proceedings. AMIA Symposium
|January 24, 2007
PubMed
Summary
This summary is machine-generated.

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

Towards the Definition of a Prognostic Model for Mantle Cell Lymphoma.

Studies in health technology and informatics·2026
Same author

From Discharge Letters to Process Traces with LLMs: A Human-in-the-Loop Pipeline.

Studies in health technology and informatics·2026
Same author

Investigating the impact of outpatient services on length of stay: an easily interpretable approach.

Frontiers in artificial intelligence·2026
Same author

Recenti progressi in medicina·2025
Same author

Ontology-based student testing through clinical guidelines: An AI approach.

Artificial intelligence in medicine·2025
Same author

A Symbolic AI Approach to Medical Training.

Journal of medical systems·2025

Adapting clinical guidelines for local needs is crucial for their effective use. Computer-based methods offer a powerful solution for tailoring guidelines to specific healthcare contexts and software environments.

Area of Science:

  • Health Informatics
  • Clinical Guideline Adaptation
  • Healthcare Management

Background:

  • Clinical guidelines are essential for evidence-based practice but require adaptation to local contexts for effective implementation.
  • Contextualization involves addressing resource availability and local software environments, particularly for computer-based guideline systems.
  • Successful guideline dissemination hinges on practical adaptation strategies.

Purpose of the Study:

  • To demonstrate the utility of a computer-based approach for adapting clinical guidelines.
  • To address the challenges of contextualizing guidelines for diverse healthcare settings.
  • To facilitate broader guideline dissemination and utilization through technological solutions.

Main Methods:

  • Developing and showcasing a computer-based framework for guideline adaptation.

Related Experiment Videos

  • Illustrating the process of tailoring guidelines to local resource constraints.
  • Demonstrating adaptation to specific local software environments for computer-based systems.

    • Main Results:

    • A computer-based approach effectively facilitates the adaptation of clinical guidelines.
    • The proposed method addresses key contextualization challenges, including resource and software integration.
    • Successful adaptation enhances the potential for guideline implementation and use.

    Conclusions:

    • Computer-based approaches are vital for overcoming barriers in clinical guideline adaptation.
    • Contextualization through technology improves the relevance and applicability of guidelines.
    • This methodology supports the effective dissemination and use of clinical guidelines in diverse settings.