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

Methods of Documentation VI: Case Management Model

Methods of Documentation VI: Case Management Model

The case management model is a multidisciplinary approach that involves healthcare professionals from diverse disciplines, such as physicians, nurses, therapists, social workers, and pharmacists, working collaboratively to address the various needs of patients. Each healthcare professional brings unique expertise and perspectives, contributing to a more comprehensive understanding of the patient's condition and tailoring treatment plans accordingly.
For example, a patient with a chronic illness...

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.

Standards of Care II

Standards of Care II

Nurses bear specific legal responsibilities under several federal statutes, including:

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:

Standards of Care I

Standards of Care I

Federal statutes profoundly impact nursing practice, providing critical guidelines to ensure patient care is equitable, accessible, and of the highest quality. The following laws address distinct aspects of healthcare provision and patient rights:

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:

You might also read

Related Articles

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

Sort by

Same author

Using interpretable machine learning to predict bloodstream infection and antimicrobial resistance in patients admitted to ICU: Early alert predictors based on EHR data to guide antimicrobial stewardship.

PLOS digital health·2024

Same author

Combining large language models with enterprise knowledge graphs: a perspective on enhanced natural language understanding.

Frontiers in artificial intelligence·2024

Same author

Comparison of blood volume biofeedback hemodialysis and conventional hemodialysis on cardiovascular stability and blood pressure control in hemodialysis patients: a systematic review and meta-analysis of randomized controlled trials.

Journal of nephrology·2024

Same author

A Machine Learning Approach to Predict Weight Change in ART-Experienced People Living With HIV.

Journal of acquired immune deficiency syndromes (1999)·2023

Same author

Real-world data mining meets clinical practice: Research challenges and perspective.

Frontiers in big data·2022

Same author

The interplay of post-acute COVID-19 syndrome and aging: a biological, clinical and public health approach.

Ageing research reviews·2022

Same journal

CoAff-DTI: Fine-grained drug-target interaction prediction using pre-trained language models and affinity-guided mechanisms.

Journal of biomedical informatics·2026

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

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

Journal of biomedical informatics·2026

See all related articles

Search research articles

Related Experiment Video

Updated: May 19, 2026

Development and Implementation of a Multi-Disciplinary Technology Enhanced Care Pathway for Youth and Adults with Concussion

Development and Implementation of a Multi-Disciplinary Technology Enhanced Care Pathway for Youth and Adults with Concussion

Published on: January 20, 2019

Efficient management of multi-version clinical guidelines.

Fabio Grandi¹, Federica Mandreoli, Riccardo Martoglia

¹DEIS, University of Bologna, Viale Risorgimento 2, Bologna, Italy. fabio.grandi@unibo.it

Journal of Biomedical Informatics

|August 15, 2012

Summary

This summary is machine-generated.

This study presents methods for managing numerous clinical guidelines. It enables personalized guideline access by tailoring versions to specific patient needs and contexts.

Related Experiment Videos

Last Updated: May 19, 2026

Development and Implementation of a Multi-Disciplinary Technology Enhanced Care Pathway for Youth and Adults with Concussion

Development and Implementation of a Multi-Disciplinary Technology Enhanced Care Pathway for Youth and Adults with Concussion

Published on: January 20, 2019

Area of Science:

Health Informatics
Clinical Decision Support
Medical Informatics

Background:

The proliferation of clinical guidelines, or 'best practices,' has increased significantly in recent years.
Multiple versions and alternatives within guidelines complicate manual and automated handling.
Existing systems struggle to efficiently manage and access diverse, evolving clinical guidelines.

Purpose of the Study:

To introduce techniques for modeling and accessing large collections of multi-version clinical guidelines.
To enable efficient, personalized access to guideline information.
To develop a system for on-demand guideline tailoring.

Main Methods:

Developing techniques to model multi-version clinical guidelines.
Storing guidelines in an XML repository in both textual and executable formats.
Utilizing patient profile, temporal perspectives, and context information for personalization.

Main Results:

Demonstrated techniques for modeling and managing extensive multi-version clinical guideline collections.
Established efficient personalized access to tailored guideline versions.
Showcased the capability to build on-demand guideline versions using specific use-case parameters.

Conclusions:

The proposed techniques facilitate efficient and personalized access to complex clinical guideline collections.
Automated personalization services can deliver tailored guideline versions based on specific patient and contextual data.
This approach addresses the challenges posed by the increasing volume and complexity of clinical guidelines.