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

Allergic Drug Reactions01:27

Allergic Drug Reactions

931
Allergic reactions related to drugs are hypersensitivity responses driven by the immune system and bear no connection to the drug's therapeutic action. While drugs in isolation do not trigger an immune response, they can interact with endogenous proteins to form antigens. These antigens stimulate lymphocytes to produce antibodies. IgE-type antibodies attach themselves to mast cells. Upon subsequent exposure to the same stimulus, the antigen-antibody interaction is initiated, unleashing...
931
Pharmacovigilance01:19

Pharmacovigilance

959
Post-marketing surveillance is a critical component of pharmaceutical regulation, often uncovering unanticipated adverse drug reactions (ADRs) once a drug is widely used over an extended period.
This process, termed pharmacovigilance, aims to detect, evaluate, and minimize harmful effects related to medication use. The data collection for pharmacovigilance depends on spontaneous reporting systems, where healthcare professionals or patients voluntarily report suspected ADRs.
In some cases, there...
959
Drug-Receptor Interactions01:29

Drug-Receptor Interactions

5.5K
Drug-receptor interaction describes the binding of receptors by drugs, but not all drug-receptor interactions result in activation and tissue response. For instance, the binding of agonists activates the receptor to generate a cellular reaction, while antagonists bind to receptors without causing their activation.
Several parameters, such as the drug's affinity for its receptor and its efficacy, which is its ability to activate the receptor, determine the drug's effect on the tissue....
5.5K
Factors Affecting Drug Response: Overview01:21

Factors Affecting Drug Response: Overview

2.1K
When it comes to infants and young children, they are typically administered smaller doses of medication in comparison to adults. This is primarily because their organ functions still need to fully develop, meaning their bodies are not as efficient at metabolizing or eliminating drugs. Additionally, their blood-brain barrier is more permeable than in adults. As a result, high concentrations of drugs can easily penetrate the central nervous system (CNS), potentially leading to neurological...
2.1K
Nursing Clinical Information System01:27

Nursing Clinical Information System

855
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:
855
Combined Effects of Drugs: Synergism01:27

Combined Effects of Drugs: Synergism

4.5K
Synergism is a useful mechanism where combining two or more drugs is more effective than each constituent used alone. Such combinations are also called supra-additive interactions. The drugs collectively enhance the final therapeutic effect by acting on different targets. Another advantage is that the low dose of each constituent drug is sufficient to achieve the desired effect. This helps reduce the duration of therapy and lower the adverse effects of these drugs.
Such synergistic combinations...
4.5K

You might also read

Related Articles

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

Sort by
Same author

Development and Evaluation of SNOMED CT Automated Mapping Tool: Advancing Terminology Standardization and Semantic Interoperability.

JMIR medical informatics·2026
Same author

Development of eClaim system for private indemnity health insurance in South Korea: Compatibility and interoperability.

Health informatics journal·2022
Same author

Fast Healthcare Interoperability Resources (FHIR)-Based Quality Information Exchange for Clinical Next-Generation Sequencing Genomic Testing: Implementation Study.

Journal of medical Internet research·2021
Same author

Developing a Standardization Algorithm for Categorical Laboratory Tests for Clinical Big Data Research: Retrospective Study.

JMIR medical informatics·2019
Same author

Psychometric properties of the Korean version of the Copenhagen Burnout Inventory in Korean homecare workers for older adults.

PloS one·2019
Same author

Clinical Decision Support Functions and Digitalization of Clinical Documents of Electronic Medical Record Systems.

Healthcare informatics research·2019
Same journal

Multimodule Human-Artificial Intelligence Collaboration Pipeline for Large Language Model-Assisted Thematic Analysis Across Digital Health Interview Studies: Comparative Evaluation Study.

JMIR medical informatics·2026
Same journal

Graph Network Feature Space Fusion for Predicting Irregularly Sampled Medical Time-Series Data: Deep Learning Model Development and Validation Study.

JMIR medical informatics·2026
Same journal

Intrasystem Repeatability of S-Detect for Breast Ultrasound Classification With Identical Static Images: Single-Center Retrospective Repeatability Study.

JMIR medical informatics·2026
Same journal

Clinician Perspectives on Ambient AI Scribes in the Intensive Care Unit: Qualitative Interview Study.

JMIR medical informatics·2026
Same journal

IdeaDistiller-AI Support for Idea Synthesis in Concept Mapping: Algorithm Development and Validation Study.

JMIR medical informatics·2026
Same journal

Pregnancy-Related Clinical Codes in Unlikely Populations in Primary Care.

JMIR medical informatics·2026
See all related articles

Related Experiment Video

Updated: Aug 22, 2025

A Data Integration Workflow to Identify Drug Combinations Targeting Synthetic Lethal Interactions
07:40

A Data Integration Workflow to Identify Drug Combinations Targeting Synthetic Lethal Interactions

Published on: May 27, 2021

4.2K

Shared Interoperable Clinical Decision Support Service for Drug-Allergy Interaction Checks: Implementation Study.

Sungwon Jung1, Sungchul Bae2, Donghyeong Seong1

  • 1Department of Health Sciences and Technology, Samsung Advanced Institute for Health Sciences and Technology, Sungkyunkwan University, Seoul, Republic of Korea.

JMIR Medical Informatics
|November 10, 2022
PubMed
Summary
This summary is machine-generated.

A national clinical decision support (CDS) service for drug-allergy interaction (DAI) checks was developed and deployed in Korea. This interoperable system successfully processed over one million checks, with a 3.32% warning rate, enhancing patient safety.

Keywords:
CDS HooksFast Healthcare Interoperability ResourcesHealth Level 7clinical decision supportdrug-allergy interactioninteroperability

More Related Videos

Diagonal Method to Measure Synergy Among Any Number of Drugs
12:08

Diagonal Method to Measure Synergy Among Any Number of Drugs

Published on: June 21, 2018

18.7K
High-throughput Identification of Synergistic Drug Combinations by the Overlap2 Method
07:51

High-throughput Identification of Synergistic Drug Combinations by the Overlap2 Method

Published on: May 21, 2018

11.9K

Related Experiment Videos

Last Updated: Aug 22, 2025

A Data Integration Workflow to Identify Drug Combinations Targeting Synthetic Lethal Interactions
07:40

A Data Integration Workflow to Identify Drug Combinations Targeting Synthetic Lethal Interactions

Published on: May 27, 2021

4.2K
Diagonal Method to Measure Synergy Among Any Number of Drugs
12:08

Diagonal Method to Measure Synergy Among Any Number of Drugs

Published on: June 21, 2018

18.7K
High-throughput Identification of Synergistic Drug Combinations by the Overlap2 Method
07:51

High-throughput Identification of Synergistic Drug Combinations by the Overlap2 Method

Published on: May 21, 2018

11.9K

Area of Science:

  • Health Informatics
  • Clinical Decision Support Systems
  • Interoperability Standards

Background:

  • Clinical decision support (CDS) systems enhance healthcare quality, safety, efficiency, and effectiveness but face challenges in implementation and interoperability.
  • Existing in-house CDS systems are often tightly coupled with specific electronic health record (EHR) systems, limiting knowledge base and functionality sharing.
  • A shared, interoperable CDS system is crucial for facilitating knowledge exchange and expanding CDS services.

Purpose of the Study:

  • To develop and deploy a national CDS service for drug-allergy interaction (DAI) checks in Korea.
  • To provide an accessible solution for healthcare providers lacking the budget and expertise for independent CDS system implementation.
  • To establish a foundation for a national, interoperable healthcare information ecosystem.

Main Methods:

  • The CDS service was designed and implemented using the CDS Hooks specification and Health Level Seven (HL7) Fast Healthcare Interoperability Resources (FHIR) standard.
  • Development involved requirement analysis, design, implementation, and deployment, with a conceptual architecture based on CDS Hooks.
  • FHIR standard was utilized for data exchange, profiling MedicationRequest and AllergyIntolerance resources, and developing discovery and DAI check APIs with a rule engine.

Main Results:

  • The CDS service was deployed on G-Cloud and launched in March 2021, with 67 participating healthcare providers.
  • Over 1 million DAI checks (1,008,357) were performed for 114,694 patients.
  • A warning rate of 3.32% (33,054 cases) was observed, indicating potential drug-allergy interactions.

Conclusions:

  • The CDS service initiative supports Korea's Ministry of Health and Welfare's goal of building an HL7 FHIR-based healthcare ecosystem.
  • Accelerating practical service development and demonstrating the benefits of FHIR standardization are key to promoting its adoption.
  • Development of implementation guides, such as the Korea Core guide, will facilitate nationwide FHIR standard distribution and the introduction of more shared, interoperable healthcare services.