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

Genomics02:02

Genomics

35.6K
Genomics is the science of genomes: it is the study of all the genetic material of an organism. In humans, the genome consists of information carried in 23 pairs of chromosomes in the nucleus, as well as mitochondrial DNA. In genomics, both coding and non-coding DNA is sequenced and analyzed. Genomics allows a better understanding of all living things, their evolution, and their diversity. It has a myriad of uses: for example, to build phylogenetic trees, to improve productivity and...
35.6K
Overview of Biostatistics in Health Sciences01:19

Overview of Biostatistics in Health Sciences

4.8K
Biostatistics involves the application of statistical techniques to scientific research in health-related fields, including biology and public health. These techniques are essential for designing studies, collecting data, and analyzing it to draw meaningful conclusions. Given the complexity of biological processes, particularly in studies involving human subjects, biostatistical methods are crucial for effectively organizing and interpreting data that might otherwise obscure underlying patterns...
4.8K
Biostatistics: Overview01:20

Biostatistics: Overview

1.2K
Biostatistics plays a crucial role in understanding and analyzing data in healthcare and biology. Biostatisticians conduct experiments, gather evidence, and draw meaningful conclusions using statistical methods and techniques. Different variables form the foundation of biostatistical analysis, allowing researchers to understand and interpret data effectively. These variables are classified into different types, each serving a specific purpose in statistical analysis.
Discrete variables are...
1.2K
Statistical Software for Data Analysis and Clinical Trials01:12

Statistical Software for Data Analysis and Clinical Trials

1.8K
Statistical software is pivotal in data analysis and clinical trials by providing tools to analyze data, draw conclusions, and make predictions. These software packages range from simple data management applications to complex analytical platforms, supporting various statistical tests, models, and simulation techniques. Their significance lies in their ability to handle vast amounts of data with precision and efficiency, enabling researchers to validate hypotheses, identify trends, and make...
1.8K
Health Information Technology and Healthcare Information System01:30

Health Information Technology and Healthcare Information System

1.7K
Health Information Technology (HIT)
Health Information Technology, commonly called HIT, integrates advanced information systems and technology in healthcare settings. Its primary functions include:
1.7K
Proteomics01:33

Proteomics

7.5K
A proteome is the entire set of proteins that a cell type produces. We can study proteomes using the knowledge of genomes because genes code for mRNAs, and the mRNAs encode proteins. Although mRNA analysis is a step in the right direction, not all mRNAs are translated into proteins.
Proteomics is the study of proteomes' function. It involves the large-scale systematic study of the proteome to denote the protein complement expressed by a genome. Scientist Mark Wilkins coined the term...
7.5K

You might also read

Related Articles

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

Sort by
Same author

Patient experiences in trials of minimally invasive thoracic surgery: A mixed-methods study.

Journal of robotic surgery·2026
Same author

Streamlining Global Germplasm Exchange: Integrating Scientific Rigor and Common Sense to Exclude Phantom Agents from Regulation.

Plant disease·2025
Same author

Abundant hydrocarbons in the disk around a very-low-mass star.

Science (New York, N.Y.)·2024
Same author

Author Correction: Outflows from the youngest stars are mostly molecular.

Nature·2023
Same author

Outflows from the youngest stars are mostly molecular.

Nature·2023
Same author

Water in the terrestrial planet-forming zone of the PDS 70 disk.

Nature·2023

Related Experiment Video

Updated: May 5, 2026

BioMEMS: Forging New Collaborations Between Biologists and Engineers
07:26

BioMEMS: Forging New Collaborations Between Biologists and Engineers

Published on: November 1, 2007

7.8K

Biomedical informatics: we are what we publish.

P L Elkin1, S H Brown, G Wright

  • 1Peter L. Elkin, MD, MACP, FACMI, FNYAM, Department of Biomedical Informatics, University at Buffalo Buffalo, NY USA,

Methods of Information in Medicine
|November 20, 2013
PubMed
Summary

Analyzing publications in Biomedical Informatics reveals how the field defines itself through research. This study uses publication data to enhance consensus-driven definitions of Biomedical Informatics.

Keywords:
Medical informaticsbioinformaticsexpert consensusontologypublication record

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

1.9K
Creation and Maintenance of a Living Biobank - How We Do It
13:08

Creation and Maintenance of a Living Biobank - How We Do It

Published on: April 10, 2021

8.7K

Related Experiment Videos

Last Updated: May 5, 2026

BioMEMS: Forging New Collaborations Between Biologists and Engineers
07:26

BioMEMS: Forging New Collaborations Between Biologists and Engineers

Published on: November 1, 2007

7.8K
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

1.9K
Creation and Maintenance of a Living Biobank - How We Do It
13:08

Creation and Maintenance of a Living Biobank - How We Do It

Published on: April 10, 2021

8.7K

Area of Science:

  • Biomedical Informatics
  • Health Informatics
  • Medical Informatics
  • Bioinformatics

Background:

  • Existing definitions of Biomedical Informatics rely on consensus projects by organizations like AMIA and IMIA.
  • This study contributes to defining the field by analyzing its published literature.

Purpose of the Study:

  • To analyze PubMed publications to further define the field of Biomedical Informatics.
  • To compare consensus-based definitions with the content of published research.

Main Methods:

  • Combined terms from AMIA and IMIA consensus documents to create the Health Informatics Ontology.
  • Utilized an Intelligent Natural Language Processor (iNLP) for a terminology server.
  • Parsed Medline articles identified by 'Medical Informatics' or 'Bioinformatics' using the Health Informatics Ontology, SNOMED CT, and HGNC Ontology.

Main Results:

  • Identified 168,298 unique articles, with 37% containing concepts from the Health Informatics Ontology.
  • SNOMED CT indexing indicated interactions between Biomedical Informatics and most clinical fields.
  • Analysis of publication data provides empirical insights into the scope of Biomedical Informatics.

Conclusions:

  • Analyzing publications offers a valuable complement to consensus-driven definitions of Biomedical Informatics.
  • Future work includes extracting uncovered terms, creating class hierarchies, and examining MeSH terms.
  • Enhanced understanding of Biomedical Informatics literature can foster greater self-awareness within the field.