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

Methods of Documentation VII: EMR01:30

Methods of Documentation VII: EMR

1.5K
Electronic Medical Records (EMRs) primarily center around electronically documenting patients' health information within a single healthcare organization or practice. They contain essential clinical data related to a patient's medical history, diagnoses, medications, treatment plans, lab results, and other pertinent information relevant to the specific encounter or episode of care. EMRs are designed to streamline documentation and workflow processes within individual healthcare...
1.5K
Issues And Trends In Healthcare Delivery System01:29

Issues And Trends In Healthcare Delivery System

6.5K
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...
6.5K
Purpose of Health Records I01:11

Purpose of Health Records I

1.7K
The vital purpose of health records is to provide a complete and accurate account of a patient's medical history, including communication, diagnostic and therapeutic orders, care planning, research, and quality review.
Here's a breakdown of how health records serve these purposes:
1.7K
Health Information Technology and Healthcare Information System01:30

Health Information Technology and Healthcare Information System

1.6K
Health Information Technology (HIT)
Health Information Technology, commonly called HIT, integrates advanced information systems and technology in healthcare settings. Its primary functions include:
1.6K
Purpose of Health Records II01:19

Purpose of Health Records II

1.3K
Health records serve various essential purposes in the healthcare system. Here are some key purposes:
1.3K
Investigation of Disease Outbreaks01:23

Investigation of Disease Outbreaks

74
Multistate foodborne outbreaks pose significant public health risks and require meticulous investigation to identify sources and implement control measures. The Centers for Disease Control and Prevention (CDC) utilizes a dynamic seven-step process for these investigations, integrating data from laboratories, interviews, and environmental assessments to protect public health.Outbreak Detection: The detection of multistate outbreaks typically begins with PulseNet, the CDC's national laboratory...
74

You might also read

Related Articles

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

Sort by
Same author

Establishing a health information exchange research network (HIERN) to support population health studies.

NPJ digital medicine·2026
Same author

Evaluating NLP Approaches to Extract Drug Indications.

AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science·2026
Same author

Healthcare provider approaches to managing the health harms of xylazine: A qualitative study.

Journal of substance use and addiction treatment·2026
Same author

THERA-IE: An AI-Enabled System for Therapeutic Indication Identification and Extraction from Biomedical Literature.

Studies in health technology and informatics·2026
Same author

From Food to Clinic: Mapping FoodOn to the UMLS to Enable Nutritional Decision Support.

AMIA ... Annual Symposium proceedings. AMIA Symposium·2026
Same author

Building a collaborative ecosystem across the IDeA-CTR networks in response to a public health emergency.

Journal of clinical and translational science·2025

Related Experiment Video

Updated: Apr 30, 2026

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

2.6K

Mining the electronic health record for disease knowledge.

Elizabeth S Chen1, Indra Neil Sarkar

  • 1Center for Clinical and Translational Science, University of Vermont, Burlington, VT, USA, liz.chen@uvm.edu.

Methods in Molecular Biology (Clifton, N.J.)
|May 3, 2014
PubMed
Summary

This study introduces a framework for extracting disease knowledge from electronic health records (EHRs). It details methods for data mining EHRs to uncover disease associations, enhancing medical research.

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
A Metadata Extraction Approach for Clinical Case Reports to Enable Advanced Understanding of Biomedical Concepts
07:50

A Metadata Extraction Approach for Clinical Case Reports to Enable Advanced Understanding of Biomedical Concepts

Published on: September 20, 2018

15.8K

Related Experiment Videos

Last Updated: Apr 30, 2026

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

2.6K
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
A Metadata Extraction Approach for Clinical Case Reports to Enable Advanced Understanding of Biomedical Concepts
07:50

A Metadata Extraction Approach for Clinical Case Reports to Enable Advanced Understanding of Biomedical Concepts

Published on: September 20, 2018

15.8K

Area of Science:

  • Health Informatics
  • Data Mining
  • Medical Informatics

Background:

  • Electronic Health Record (EHR) data is rapidly expanding, offering significant potential for medical research.
  • Previous studies have mined EHRs for disease associations, including disease-disease, disease-drug, and disease-gene links.

Purpose of the Study:

  • To present a comprehensive knowledge discovery framework for extracting disease-related insights from EHR data.
  • To outline the essential steps involved in mining EHRs for new medical knowledge.

Main Methods:

  • The framework covers data selection, preprocessing, transformation, data mining, and interpretation/validation.
  • Utilizes natural language processing (NLP) techniques for analyzing unstructured EHR data.
  • Addresses critical aspects like data standards, privacy, and security.

Main Results:

  • The proposed framework facilitates systematic knowledge discovery from EHRs.
  • Enables the identification of complex disease associations within large datasets.
  • Provides a structured approach to leveraging EHR data for research.

Conclusions:

  • The framework offers a robust methodology for unlocking valuable disease knowledge from EHRs.
  • Highlights the importance of NLP, data standards, and security in EHR data mining.
  • Supports advancements in understanding and managing diseases through data-driven insights.