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 Concept Videos

Integrated Healthcare System01:20

Integrated Healthcare System

1.8K
An integrated healthcare system (IHS) is a set of organizations that provides for or arranges to provide coordinated and continuous service to a defined population. The IHS takes responsibility for that particular population's health status and outcome, both clinically and fiscally. An integrated healthcare system is a well-organized, well-coordinated, and collaborative network. The integrated delivery system is a network that connects different healthcare providers to deliver organized,...
1.8K
Issues And Trends In Healthcare Delivery System01:29

Issues And Trends In Healthcare Delivery System

5.8K
The issues and trends in healthcare delivery are constantly changing. The COVID-19 pandemic is one recent issue that wreaked havoc on healthcare systems, causing a shortage of healthcare workers, high demand for medicines and supplies, and increased medical expenditure due to a lack of insurance. Other issues include rising healthcare costs and care fragmentation.
Cost Containment
Payment for healthcare services has historically promoted adoption of costly and often unnecessary or inefficient...
5.8K
Health Information Technology and Healthcare Information System01:30

Health Information Technology and Healthcare Information System

908
Health Information Technology (HIT)
Health Information Technology, commonly called HIT, integrates advanced information systems and technology in healthcare settings. Its primary functions include:
908
Nursing Clinical Information System01:27

Nursing Clinical Information System

860
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:
860
Multicompartment Models: Overview01:14

Multicompartment Models: Overview

243
Multicompartment models are mathematical constructs that depict how drugs are distributed and eliminated within the body. They segment the body into several compartments, symbolizing various physiological or anatomical areas connected through drug transfer processes such as absorption, metabolism, distribution, and elimination.
These models offer a more comprehensive representation of drug behavior in the body than one-compartment models. They accommodate the complexity of drug distribution,...
243
ER Retrieval Pathway01:45

ER Retrieval Pathway

3.9K
In the secretory pathway, vesicles transport proteins from one cellular compartment to another in forward transport to deliver the protein to its correct location. Occasionally, misfolded proteins and incorrect proteins escape their original compartments, and a retrieval pathway is used to return the escaped proteins to their original compartment.
The ER uses many checkpoints to prevent the entry of incorrectly folded or a resident protein as cargo onto a transport vesicle. These mechanisms...
3.9K

You might also read

Related Articles

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

Sort by
Same author

Artificial intelligence in clinical trial participant recruitment and retention: A scoping review and meta-analysis.

Journal of clinical and translational science·2026
Same author

Osteopathic manipulative treatment among long-term opioid prescribed patients.

Journal of osteopathic medicine·2026
Same author

Strategies for mitigating artificial intelligence bias in healthcare: a systematic review.

JAMIA open·2026
Same author

Defining Prenatal Care Surveillance Metrics Using Electronic Health Record Data.

JAMA health forum·2026
Same author

ED discharge after trauma transfer has increased over time: A single tertiary care center analysis.

Injury·2026
Same author

Cardiovascular Disease Risk and Noncardiovascular Chronic Disease Burden by Housing Status.

Journal of the American Heart Association·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
Same journal

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

Journal of biomedical informatics·2026
See all related articles

Related Experiment Video

Updated: Sep 3, 2025

A Knowledge Graph Approach to Elucidate the Role of Organellar Pathways in Disease via Biomedical Reports
07:35

A Knowledge Graph Approach to Elucidate the Role of Organellar Pathways in Disease via Biomedical Reports

Published on: October 13, 2023

1.7K

Multiview Incomplete Knowledge Graph Integration with application to cross-institutional EHR data harmonization.

Doudou Zhou1, Ziming Gan2, Xu Shi3

  • 1University of California, Davis, CA, USA.

Journal of Biomedical Informatics
|July 25, 2022
PubMed
Summary
This summary is machine-generated.

The Multiview Incomplete Knowledge Graph Integration (MIKGI) algorithm effectively harmonizes electronic health record (EHR) codes across institutions. This improves data integration and enables accurate cross-institutional translation of medical codes.

Keywords:
Code mappingKnowledge graphPMI matrixTransfer learningWord embedding

More Related Videos

Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems
05:47

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

Published on: June 13, 2025

557
Executing Complexity-Increasing Queries in Relational MySQL and NoSQL MongoDB and EXist Size-Growing ISO/EN 13606 Standardized EHR Databases
07:26

Executing Complexity-Increasing Queries in Relational MySQL and NoSQL MongoDB and EXist Size-Growing ISO/EN 13606 Standardized EHR Databases

Published on: March 19, 2018

9.4K

Related Experiment Videos

Last Updated: Sep 3, 2025

A Knowledge Graph Approach to Elucidate the Role of Organellar Pathways in Disease via Biomedical Reports
07:35

A Knowledge Graph Approach to Elucidate the Role of Organellar Pathways in Disease via Biomedical Reports

Published on: October 13, 2023

1.7K
Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems
05:47

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

Published on: June 13, 2025

557
Executing Complexity-Increasing Queries in Relational MySQL and NoSQL MongoDB and EXist Size-Growing ISO/EN 13606 Standardized EHR Databases
07:26

Executing Complexity-Increasing Queries in Relational MySQL and NoSQL MongoDB and EXist Size-Growing ISO/EN 13606 Standardized EHR Databases

Published on: March 19, 2018

9.4K

Area of Science:

  • Bioinformatics
  • Health Informatics
  • Knowledge Representation

Background:

  • Electronic Health Records (EHR) offer vast potential for multi-institutional analysis.
  • Lack of semantic interoperability due to coding differences hinders data integration.
  • Harmonizing EHR data is crucial for generalizable knowledge discovery.

Purpose of the Study:

  • To propose a novel algorithm, Multiview Incomplete Knowledge Graph Integration (MIKGI), for integrating multi-institutional EHR data.
  • To overcome semantic interoperability barriers caused by differing medical codes.
  • To enable accurate translation of EHR codes between healthcare systems.

Main Methods:

  • MIKGI combines knowledge graph embeddings from EHR co-occurrence patterns and Self-Aligning Pretrained BERT (SAPBERT) semantic embeddings.
  • It synthesizes incomplete knowledge graphs from multiple sources using a spherical loss function.
  • The algorithm outputs harmonized semantic embedding vectors for EHR codes.

Main Results:

  • MIKGI achieved high accuracy in detecting similar (AUC 0.918) and related (AUC 0.809) entity pairs.
  • Cross-institutional mapping of VA medication codes to RxNorm reached top 1 accuracy of 91.0%.
  • The algorithm demonstrated robust performance in various downstream tasks, outperforming existing methods.

Conclusions:

  • MIKGI effectively integrates incomplete EHR and biomedical text data.
  • It generates harmonized embeddings for EHR codes, facilitating knowledge graph modeling.
  • The algorithm enables cross-institutional translation of EHR codes, enhancing data utility.