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

A modular approach for representing and executing clinical guidelines.

P Terenziani1, G Molino, M Torchio

  • 1DISTA, University del Piemonte Orientale Amedeo Avogadro, C.so Borsalino 54, 15100, Alessandria, Italy. terenz@di.unito.it

Artificial Intelligence in Medicine
|November 13, 2001
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

Candidacy and long-term outcomes of subcutaneous implantable cardioverter-defibrillators in current practice in patients with hypertrophic cardiomyopathy.

International journal of cardiology·2024
Same author

Renin and electrolytes indicate the mineralocorticoid activity of fludrocortisone: a 6 year study in primary adrenal insufficiency.

Journal of endocrinological investigation·2022
Same author

Second primary neoplasms in patients with lung and gastroenteropancreatic neuroendocrine neoplasms: Data from a retrospective multi-centric study.

Digestive and liver disease : official journal of the Italian Society of Gastroenterology and the Italian Association for the Study of the Liver·2021
Same author

Ascertainment bias in dementias: a secondary to tertiary centre analysis in Central Italy and conceptual review.

Aging clinical and experimental research·2013
Same author

Genotypes and haplotypes in the 3' untranslated region of the HLA-G gene and their association with clinical outcome of hematopoietic stem cell transplantation for beta-thalassemia.

Tissue antigens·2012
Same author

Model checking for clinical guidelines: an agent-based approach.

AMIA ... Annual Symposium proceedings. AMIA Symposium·2007
Same journal

Real-time EEG-based epileptic seizure prediction using artificial intelligence: A systematic review.

Artificial intelligence in medicine·2026
Same journal

R-peak detection and ECG data compression scheme based on empirical mode decomposition and wavelet transform.

Artificial intelligence in medicine·2026
Same journal

CastNet: A three-channel EEG-based deep learning model for cross-subject depression detection.

Artificial intelligence in medicine·2026
Same journal

State-of-the-art TinyML approaches for colorectal cancer detection: Current advances, challenges, and future directions.

Artificial intelligence in medicine·2026
Same journal

JRadiEvo: A Japanese radiology report generation model enhanced by evolutionary optimization of model merging.

Artificial intelligence in medicine·2026
Same journal

Causally-informed deep learning towards explainable and generalizable outcome prediction in critical care.

Artificial intelligence in medicine·2026
See all related articles

This study introduces a modular system for managing clinical guidelines, separating representation and execution. It offers a user-friendly tool for guideline acquisition and a flexible engine for clinical decision support, enhancing guideline implementation.

Area of Science:

  • Medical Informatics
  • Clinical Decision Support Systems
  • Health Information Technology

Background:

  • Clinical guidelines are essential for evidence-based practice but challenging to manage and implement.
  • Existing systems often lack flexibility in representing context-dependent and temporal aspects of guidelines.

Purpose of the Study:

  • To propose a modular architecture for managing clinical guidelines.
  • To develop an expressive formalism for guideline representation considering context and temporal factors.
  • To create a user-friendly tool for guideline acquisition and an execution engine for clinical applications.

Main Methods:

  • A modular architecture separating guideline representation/acquisition from execution.
  • An expressive formalism to handle context-dependent and temporal aspects of guidelines.

Related Experiment Videos

  • A physician-friendly tool for guideline acquisition with automated inconsistency detection.
  • A flexible execution engine for clinical decision support and integration into practice.

    • Main Results:

    • The proposed architecture effectively separates guideline management components.
    • The formalism successfully captures the context-dependent and temporal nature of guidelines.
    • The acquisition tool aids physicians and identifies guideline inconsistencies.
    • The execution engine supports diverse clinical applications, emphasizing temporal considerations.

    Conclusions:

    • This approach provides a robust framework for managing and executing clinical guidelines.
    • The system enhances the usability and consistency of clinical guidelines.
    • It facilitates the integration of clinical guidelines into practice for improved patient care and medical education.