Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

Improving Translational Accuracy

Improving Translational Accuracy

Base complementarity between the three base pairs of mRNA codon and the tRNA anticodon is not a failsafe mechanism. Inaccuracies can range from a single mismatch to no correct base pairing at all. The free energy difference between the correct and nearly correct base pairs can be as small as 3 kcal/ mol. With complementarity being the only proofreading step, the estimated error frequency would be one wrong amino acid in every 100 amino acids incorporated. However, error frequencies observed in...

Improving Translational Accuracy

Improving Translational Accuracy

Base complementarity between the three base pairs of mRNA codon and the tRNA anticodon is not a failsafe mechanism. Inaccuracies can range from a single mismatch to no correct base pairing at all. The free energy difference between the correct and nearly correct base pairs can be as small as 3 kcal/ mol. With complementarity being the only proofreading step, the estimated error frequency would be one wrong amino acid in every 100 amino acids incorporated. However, error frequencies observed in...

Guidelines and Strategies for Safe Computer Charting

Guidelines and Strategies for Safe Computer Charting

The guidelines and strategies provided by the American Nurses Association (ANA) and the Canadian Nurses Association (CNA) offer essential principles for ensuring safe and secure computer charting systems in healthcare settings. Let's break down each recommendation:
Maintain Confidentiality and Security:

Guidelines for Writing Outcome

Guidelines for Writing Outcome

When developing expected outcomes for a patient care plan, the nurse should adhere to the following recommendations:
Patient outcomes reflect the patient's response to the goal rather than what the nurse aims to achieve. Terminology should be observable and measurable to avoid the reader's interpretation. The desired outcome should be realistic and achievable in the designated care timeframe. Expected outcomes should align with adjunctive therapies. The outcome should enhance care evaluation by...

Legal Guidelines for Documentation

Legal Guidelines for Documentation

The legal guidelines for nursing documentation are essential for ensuring accurate, professional, and ethical recording of patient care. The guidelines are discussed here:

Guidelines for Nursing Documentation I

Guidelines for Nursing Documentation I

Quality documentation and reporting share essential characteristics that ensure they are practical and valuable resources for those who use them. These characteristics are:
Factual:
The following points emphasize the significance of upholding accurate and unbiased documentation in healthcare.

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by

Same author

How organizational justice reduces turnover intention of Korean and non-Korean employees in South Korea: the mediating roles of organizational conflict and job satisfaction.

Frontiers in psychology·2026

Same author

Evaluation of the association between MREPT-derived conductivity and IVIM-derived ISF-related metrics in the brains of patients with cognitive impairments.

Frontiers in aging neuroscience·2026

Same author

Development of an Artificial Intelligence Model to Predict Endotracheal Intubation in Critically Ill Patients in Real Time.

Journal of clinical medicine·2026

Same author

Evaluation of conductivity tensor image along the perivascular space in the brains of patients with cognitive impairments.

Frontiers in aging neuroscience·2026

Same author

Relationships between heart rate-based training load and running metrics in field hockey players.

The Journal of sports medicine and physical fitness·2026

Same author

AI-Driven Predictions of Readmission and Mortality for Improved Discharge Decisions in Critical Care: A Retrospective Study.

Diagnostics (Basel, Switzerland)·2026

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

Search research articles

Related Experiment Video

Updated: Jun 28, 2026

Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems

Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems

Published on: June 13, 2025

Knowledge translation of SAGE-based guidelines for executing with knowledge engine.

Jeong Ah Kim¹, InSook Cho, Yoon Kim

¹Computer Education Department of Kwandong University, Korea.

AMIA ... Annual Symposium Proceedings. AMIA Symposium

|November 13, 2008

Summary

This summary is machine-generated.

This study introduces a knowledge translator to bridge SAGE guideline modeling with commercial clinical rule engines. This enables leveraging SAGE

Related Experiment Videos

Last Updated: Jun 28, 2026

Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems

Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems

Published on: June 13, 2025

Area of Science:

Medical Informatics
Clinical Knowledge Representation
Guideline Development

Background:

SAGE offers powerful knowledge representation for clinical guideline modeling and integration with EMR databases.
Existing SAGE framework lacks a guideline execution engine.
Commercial rule engines are available for clinical use but have immature authoring tools for clinical knowledge.

Purpose of the Study:

To propose a knowledge translator for converting SAGE-based guidelines into executable formats for commercial engines.
To enable the use of SAGE's modeling strengths with the interpretation capabilities of existing engines.

Main Methods:

Development of a knowledge translator tool.
Conversion process for SAGE-formatted guidelines to a format compatible with commercial rule engines.

Main Results:

The proposed translator facilitates the execution of SAGE-based clinical guidelines using commercial engines.
Demonstrates the combined advantages of SAGE's modeling power and engine interpretability.

Conclusions:

The knowledge translator is a viable solution for executing clinical guidelines modeled in SAGE.
This approach enhances clinical knowledge authoring and application by integrating SAGE with commercial rule engines.