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

Knowledge-based method for building patient decision-analytic tools.

Amar K Das1, Bilal A Ahmed, Yael Garten

  • 1Stanford Medical Informatics, Stanford University, Stanford, CA 94305, USA.

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

Cultryx: Precision Diagnostic Stewardship for Blood Cultures Using Machine Learning.

medRxiv : the preprint server for health sciences·2026
Same author

Impact of offering blood-based testing alongside existing modalities for colorectal cancer screening among those who previously declined screening: an economic evaluation.

Journal of medical economics·2026
Same author

Antibiotic Resistance Microbiology Dataset (ARMD): A Resource for Antimicrobial Resistance from EHRs.

ArXiv·2025
Same author

Colonoscopic Follow-Up After Abnormal Blood-Based Colorectal Cancer Screening Results.

Gastroenterology·2025
Same author

Predicting Risk of Long-Term Institutionalization Among Community Dwelling Veterans Before the COVID-19 Pandemic.

Health services research·2025
Same author

Antibiotic Resistance Microbiology Dataset (ARMD): A Resource for Antimicrobial Resistance from EHRs.

Scientific data·2025
Same journal

Sensitivity Analyses of a Scoring System for a Contraception Decision Aid.

AMIA ... Annual Symposium proceedings. AMIA Symposium·2026
Same journal

Improving electronic health record processing of large language models via retrieval-augmented generation: A case study on dietary supplements.

AMIA ... Annual Symposium proceedings. AMIA Symposium·2026
Same journal

Developing a User-Centered Mobile Application Prototype: Bridging Lower-Limb Fracture Care from Skilled Nursing Facility and Back to the Community.

AMIA ... Annual Symposium proceedings. AMIA Symposium·2026
Same journal

KERAP: A Knowledge-Enhanced Reasoning Approach for Accurate Zero-shot Diagnosis Prediction Using Multi-agent LLMs.

AMIA ... Annual Symposium proceedings. AMIA Symposium·2026
Same journal

Automating Adjudication of Cardiovascular Events Using Large Language Models.

AMIA ... Annual Symposium proceedings. AMIA Symposium·2026
Same journal

Predictive Factors and State-Level Barriers to Postpartum Birth Control Usage in the United States: Insights from PRAMS Phase 8.

AMIA ... Annual Symposium proceedings. AMIA Symposium·2026
See all related articles

This study introduces a new approach for creating accessible health decision aids (HDAs) for older adults. The knowledge-based decision model (KBDM) enhances patient-centered decision support in clinical settings.

Area of Science:

  • Health Informatics
  • Decision Science
  • Gerontology

Background:

  • Existing health decision aids (HDAs) often lack accessibility and broad clinical applicability.
  • There is a need for customizable and patient-centered decision support tools, particularly for older adults.

Purpose of the Study:

  • To develop generalizable health decision aids (HDAs) for older adults by addressing limitations in accessibility and applicability.
  • To present a novel knowledge-based decision model (KBDM) and decision-support software architecture for creating tailored HDAs.

Main Methods:

  • Formalized a novel knowledge-based decision model (KBDM) using Protégé OWL.
  • Developed a decision-support software architecture enabling principled methods for HDAs.
  • Designed a knowledgebase incorporating influence diagrams, health problems, outcome states, and probabilistic relationships.

Related Experiment Videos

Main Results:

  • The developed KBDM and architecture allow for instantiation to tailor HDAs for specific health problems.
  • Computer-interpretable knowledge provides a structured and customizable approach to patient-centered decision support.
  • This approach improves upon prior health decision aid methods in terms of accessibility and applicability.

Conclusions:

  • The Health e-Decision project successfully created a flexible architecture and KBDM for generalizable HDAs.
  • This approach enhances patient participation in shared decision-making, especially for older adults.
  • The use of computer-interpretable knowledge facilitates structured, customizable, and patient-centered decision support.