Jove
Visualize
Contact Us

Related Experiment Videos

Enabling protocol-based medical critiquing.

Robert-Jan Sips1, Loes Braun, Nico Roos

  • 1Department of Computer Science, Universiteit Maastricht, The Netherlands. rj.sips@cs.unimaas.nl

Studies in Health Technology and Informatics
|November 17, 2006
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

Comparison of Diffusion-Weighted MRI Using Single-Shot Echo-Planar Imaging and Split Acquisition of Fast Spin-Echo Signal Imaging, a Non-EPI Technique, in Tumors of the Head and Neck.

AJNR. American journal of neuroradiology·2024
Same author

Evaluating Medical Lexical Simplification: Rule-Based vs. BERT.

Studies in health technology and informatics·2021
Same author

Evaluation of T2-W MR imaging and diffusion-weighted imaging for the early post-treatment local response assessment of patients treated conservatively for cervical cancer: a multicentre study.

European radiology·2018
Same author

Quantitative analysis Of hepatocellular adenoma and focal nodular hyperplasia in the hepatobiliary phase: External validation of LLCER method using gadobenate dimeglumine as contrast agent.

Journal of magnetic resonance imaging : JMRI·2017
Same author

Diagnostic performance and comparative cost-effectiveness of non-invasive imaging tests in patients presenting with chronic stable chest pain with suspected coronary artery disease: a systematic overview.

Current cardiology reports·2014
Same author

Towards patient-related information needs.

Studies in health technology and informatics·2005
Same journal

A GenAI Pipeline for Violinist Kinematic Data Management.

Studies in health technology and informatics·2026
Same journal

AMAL-For-Qatar: A Comprehensive AI Ecosystem for Fetal Ultrasound Analysis - Project Overview and Achievements.

Studies in health technology and informatics·2026
Same journal

Longitudinal Treatment-Aware Multimodal AI for Dermatology: A Scoping Review.

Studies in health technology and informatics·2026
Same journal

Predicting Postpartum Depression Using Imbalance-Aware Machine Learning.

Studies in health technology and informatics·2026
Same journal

Validation of Deep-Learning Models for Autosegmentation of Brain Metastases.

Studies in health technology and informatics·2026
Same journal

Delay-Dependent Gating in Modular RNNs.

Studies in health technology and informatics·2026
See all related articles
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

This study introduces an intention-based algorithm to match physician actions with medical protocols, improving expert critiquing systems. This approach handles common deviations, enhancing clinical decision support for conditions like hyperbilirubinemia.

Area of Science:

  • Medical Informatics
  • Clinical Decision Support Systems
  • Artificial Intelligence in Medicine

Background:

  • Formal medical protocols are increasingly accepted, driven by evidence-based practice.
  • Expert critiquing systems require matching physician actions to protocol guidelines.
  • Computerized systems struggle with protocol deviations common in clinical practice.

Purpose of the Study:

  • To develop and evaluate an intention-based matching algorithm for expert critiquing systems.
  • To bridge the gap between physician actions and formal medical protocols, accommodating real-world variations.
  • To enhance the accuracy and applicability of clinical decision support tools.

Main Methods:

  • Proposed an algorithm to extract physician action intention.

Related Experiment Videos

  • Utilized intention as the basis for matching performed actions to prescribed protocol actions.
  • Evaluated the algorithm on 12 hyperbilirubinemia cases in healthy term newborns.

    • Main Results:

    • The intention-based matching algorithm demonstrated feasibility in aligning physician actions with medical protocols.
    • Successfully addressed the challenge of matching actions despite common deviations from protocols.
    • Provided a foundation for more robust expert critiquing systems in medicine.

    Conclusions:

    • Intention-based matching is a viable approach for expert critiquing systems using medical protocols.
    • This method enhances the ability of systems to handle clinical practice variability.
    • The findings support the development of more adaptive and effective clinical decision support tools.