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

Risk assessment in genetics: a semi-quantitative approach.

D W Glasspool1, J Fox, A S Coulson

  • 1Advanced Computation Laboratory, Imperial Cancer Research Fund, London, England. dg@acl.icnet.uk

Studies in Health Technology and Informatics
|October 18, 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

Implementation of cancer prevention practices in primary care: results of a cohort study in Chile 2018-2022.

Public health·2024
Same author

Correction to: Primary care usage at the end of life: a retrospective cohort study of cancer patients using linked primary and hospital care data.

Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer·2024
Same author

Primary care usage at the end of life: a retrospective cohort study of cancer patients using linked primary and hospital care data.

Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer·2024
Same author

Cases Surgical and Obstetrical.

Western journal of medicine and surgery·2024
Same author

NOD1 mediates interleukin-18 processing in epithelial cells responding to Helicobacter pylori infection in mice.

Nature communications·2023
Same author

The Hunter-8 Scale Prehospital Triage Workflow for Identification of Large Vessel Occlusion and Brain Haemorrhage.

Prehospital emergency care·2022
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

Computer-based decision support for general practitioners (GPs) can improve genetic risk assessment and referrals. An argumentation logic approach enhances communication of risk uncertainty, benefiting both patients and GPs.

Area of Science:

  • Medical Informatics
  • Clinical Decision Support Systems
  • Genetics and Genomics

Background:

  • Rising public awareness of genetic predisposition to diseases like breast cancer strains genetics services.
  • Effective communication of risk and uncertainty is crucial for computer-based decision support in primary care.
  • General practitioners (GPs) require tools to manage genetic risk assessments and referrals appropriately.

Purpose of the Study:

  • To develop and evaluate computer-based decision support software for GPs to assess genetic risk.
  • To utilize an argumentation logic formalism for communicating uncertainty in genetic risk assessments.
  • To improve the accuracy of risk assessment and appropriateness of referrals in primary care consultations.

Main Methods:

  • Developed software employing an argumentation approach to assess genetic risk and provide referral advice.

Related Experiment Videos

  • Included qualitative explanations for the software's advice to enhance patient and GP comprehension.
  • Evaluated the software in real-life GP consultations with simulated patients and in simulated case reviews by GPs.

    • Main Results:

    • The software demonstrated significant improvements in the accuracy of genetic risk assessment.
    • Appropriateness of referrals to genetics services was significantly enhanced by the decision support tool.
    • GPs responded very positively to the software and its qualitative reporting of uncertainty.

    Conclusions:

    • An argumentation-based approach to decision support can effectively communicate genetic risk and uncertainty.
    • This technology has the potential to optimize the use of genetics services by reducing unnecessary referrals.
    • Qualitative reporting enhances the usability and perceived value of clinical decision support systems for GPs.