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

Types of Biopharmaceutical Studies: Controlled and Non-Controlled Approaches

Types of Biopharmaceutical Studies: Controlled and Non-Controlled Approaches

Biopharmaceutical studies constitute a vital field aiming to enhance drug delivery methods and refine therapeutic approaches, drawing upon diverse interdisciplinary knowledge. In research methodologies, the choice between controlled and non-controlled studies significantly influences the study's reliability and accuracy.
Non-controlled studies, commonly employed for initial exploration, lack a control group, rendering them susceptible to biases and external influences. In contrast, controlled...

Clinical Trials

Clinical Trials

Clinical trials are prospective experimental studies conducted on humans to determine the safety and efficacy of treatments, drugs, diet methods, and medical devices. Using statistics in clinical trials enables researchers to derive reasonable and accurate conclusions from the collected data, allowing them to make wise decisions in uncertain situations. In medical research, statistical methods are crucial for preventing errors and bias.
There are four phases in a clinical trial. A phase one...

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:

Nursing Clinical Information System

Nursing Clinical Information System

Nursing Clinical Information System (NCIS)
A Nursing Clinical Information System (NCIS) is a specialized type of healthcare information system tailored to meet the unique needs of nursing practice. It incorporates the principles of nursing informatics to streamline information management and improve the quality of care delivery.
Critical attributes of NCIS include:

Nursing Interventions II: Selecting and Classifying the Nursing Interventions

Nursing Interventions II: Selecting and Classifying the Nursing Interventions

Creating and executing a nursing diagnosis helps nurses plan care and guide patient, family, and community interventions. They are developed based on a patient's physical evaluation and support measuring the outcomes. It is not recommended to select random interventions throughout the planning process. Instead, consider the following six essential factors when choosing interventions:

Clinically Relevant Drug Product Specifications: Methods of Establishment

Clinically Relevant Drug Product Specifications: Methods of Establishment

Product specifications define the acceptable quality of a pharmaceutical product by ensuring identity, purity, potency, and strength. These specifications serve as benchmarks during development, manufacturing, and post-approval quality control. Clinically relevant specifications are particularly important because they directly relate to a drug's safety and efficacy in clinical use.Dissolution studies are critical biopharmaceutic tools that link in vitro behavior to in vivo performance. They...

You might also read

Related Articles

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

Sort by

Same authorSame journal

Beyond Accuracy: Safety-Centered guidelines for the evaluation of LLM-based therapy recommendation systems for chronic multimorbidity patients.

Journal of biomedical informatics·2026

Same author

Criteria to prioritize clinical practice guideline recommendations for patient decision aid development: results from a modified Delphi consensus study.

Journal of clinical epidemiology·2026

Same author

A data-driven method for research trend analysis in a scientific discipline: Application to the journal of biomedical informatics.

Journal of biomedical informatics·2026

Same author

Lipomas are associated with a higher prevalence of metabolic syndrome components: a multicenter cross-sectional study.

Frontiers in endocrinology·2025

Same author

Obtaining Patient-Reported Outcome Data via a Home Patient Monitoring App: Development, Implementation, and Validation of Novel Interface Terminology.

JMIR mHealth and uHealth·2025

Same author

A novel interface terminology for patient-reported outcomes in home patients monitoring applications.

JMIR mHealth and uHealth·2025

Same journal

Evaluation of temporal preservation in synthetic longitudinal patient data.

Journal of biomedical informatics·2026

Same journal

ARKE: An ontology-driven framework for automated mapping of local radiology procedure terms to the LOINC-RadLex playbook using large language model.

Journal of biomedical informatics·2026

Same journal

A validation-driven training controller for cross-lingual biomedical NER via reinforcement learning-based adaptive loss weighting.

Journal of biomedical informatics·2026

Same journal

ASP-HR: An Adaptive Spatial Perception and Hierarchical Reasoning mechanism for document-level biomedical relation extraction.

Journal of biomedical informatics·2026

Same journal

DeepEN: A deep reinforcement learning framework for personalized enteral nutrition in critical care.

Journal of biomedical informatics·2026

See all related articles

Search research articles

Related Experiment Videos

Computer-interpretable clinical guidelines: a methodological review.

¹Department of Information Systems, University of Haifa, Haifa 31905, Israel. morpeleg@is.haifa.ac.il

Journal of Biomedical Informatics

|June 29, 2013

Summary

This summary is machine-generated.

Formalizing clinical practice guidelines (CPGs) into computer-interpretable guidelines (CIGs) enables decision-support systems (DSSs) to improve healthcare quality. This review classifies CIG research across its lifecycle, identifying trends and future directions.

Keywords:

Clinical practice guidelines Computer-interpretable clinical guidelines Decision-support systems Knowledge representation

Related Experiment Videos

Area of Science:

Health Informatics
Clinical Decision Support
Knowledge Engineering

Background:

Clinical practice guidelines (CPGs) are essential for quality care but often lack integration into clinical workflows.
Computer-interpretable guidelines (CIGs) offer a formalized approach to decision support, enhancing guideline adherence and impact.
Previous research has explored various aspects of CIG development and implementation.

Purpose of the Study:

To review and classify literature on computer-interpretable guideline (CIG) methodologies.
To identify themes in CIG research across its entire lifecycle, using publications from the Journal of Biomedical Informatics (JBI).
To examine temporal trends and discuss emerging and future themes in CIG research.

Main Methods:

Systematic literature review of CIG-related publications.
Thematic analysis of CIG research, focusing on the JBI.
Classification of CIG research themes spanning knowledge acquisition, integration, validation, execution, maintenance, and sharing.

Main Results:

Identified eight key themes in CIG research, covering the CIG lifecycle from design to sharing.
Observed temporal trends in CIG research focus.
Highlighted areas for future research, including implementation barriers, clinical goals, temporal expressions, patient-centric, and distributed CIGs.

Conclusions:

Formalizing CPGs into CIGs is crucial for effective decision-support systems (DSSs).
A comprehensive understanding of the CIG lifecycle is necessary for advancing research and implementation.
Future research should address patient-centricity, distribution, and practical implementation challenges.