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

Nursing Clinical Information System01:27

Nursing Clinical Information System

752
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:
752
Nursing Implementation01:15

Nursing Implementation

4.9K
Implementation is the execution of the nursing care plan developed during the planning phase.
The five steps to implementing effective nursing care include reassessing the patient, reviewing and revising the existing nursing care plan, organizing the resources and care delivery, anticipating and preventing complications, and implementing nursing interventions.
4.9K
Cancer Survival Analysis01:21

Cancer Survival Analysis

328
Cancer survival analysis focuses on quantifying and interpreting the time from a key starting point, such as diagnosis or the initiation of treatment, to a specific endpoint, such as remission or death. This analysis provides critical insights into treatment effectiveness and factors that influence patient outcomes, helping to shape clinical decisions and guide prognostic evaluations. A cornerstone of oncology research, survival analysis tackles the challenges of skewed, non-normally...
328
Methods of Documentation II: POMR01:26

Methods of Documentation II: POMR

912
The Problem-Oriented Medical Record (POMR) revolutionized medical record-keeping by introducing a systematic approach focusing on the patient's problems rather than merely listing symptoms. Dr. Lawrence Weed's introduction of this method in the 1960s marked a significant advancement in medical documentation. The POMR framework consists of four key components: the database, problem list, plan of care, and progress notes.
912
Principles of Disease Surveillance01:26

Principles of Disease Surveillance

69
Disease surveillance is the systematic collection, analysis, and interpretation of health data essential to the planning, implementation, and evaluation of public health practice. This process integrates data dissemination to entities responsible for preventing and controlling disease, injury, and disability. Surveillance systems provide crucial information for action, helping public health authorities make informed decisions to manage and prevent outbreaks, ensure public safety, optimize...
69
Model Approaches for Pharmacokinetic Data: Distributed Parameter Models01:06

Model Approaches for Pharmacokinetic Data: Distributed Parameter Models

56
Pharmacokinetic models are mathematical constructs that represent and predict the time course of drug concentrations in the body, providing meaningful pharmacokinetic parameters. These models are categorized into compartment, physiological, and distributed parameter models.
The distributed parameter models are specifically designed to account for variations and differences in some drug classes. This model is particularly useful for assessing regional concentrations of anticancer or...
56

You might also read

Related Articles

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

Sort by
Same author

Using the National Curriculum in Reproductive Psychiatry to Enhance and Standardize Fellowship Training.

Academic psychiatry : the journal of the American Association of Directors of Psychiatric Residency Training and the Association for Academic Psychiatry·2026
Same author

Red Blood Cell Transfusion Characteristics and Morbidity or Mortality in Very-Low-Birth-Weight Infants.

JAMA network open·2026
Same author

Evaluation of steroids for acute COVID in the prevention of long COVID in children: An EHR and pediatric cohort study from the RECOVER Initiative.

PloS one·2026
Same author

Epigenetic gestational age acceleration in cord blood is associated with activated inflammatory gene pathways and childhood asthma.

The Journal of allergy and clinical immunology·2026
Same author

Revised Adaptive Immune Receptor Data in the Immune Epitope Database.

bioRxiv : the preprint server for biology·2026
Same author

Impact of Comorbidities on Survival among American Indian and Alaska Native People with Cancer: A Surveillance, Epidemiology, and End Results (SEER)-Medicare Study.

Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology·2026
Same journal

Patient-Reported Symptom Burden Among Thyroid Cancer Survivors: Retrospective Cohort Study.

JCO clinical cancer informatics·2026
Same journal

Rule-Based Algorithm to Identify Recurrent Non-Hodgkin Lymphoma in Electronic Health Data.

JCO clinical cancer informatics·2026
Same journal

Bayesian Methods for Subgroup Efficacy and Safety: Application to Japanese Patients in JAVELIN Renal 101.

JCO clinical cancer informatics·2026
Same journal

Effect of a Multidimensional Digital Health Intervention on Quality of Life in Breast Cancer Survivors: A Randomized Controlled Trial.

JCO clinical cancer informatics·2026
Same journal

Can Small Open-Source Language Models With Retrieval-Augmented Generation Match GPT-4 Performance in Breast Cancer Clinical Decision Support?

JCO clinical cancer informatics·2026
Same journal

Machine Learning Algorithm for the Detection of Tumor Microsatellite Instability Based on Multiomics Biomarkers.

JCO clinical cancer informatics·2026
See all related articles

Related Experiment Video

Updated: Jun 4, 2025

Competing-Risk Nomogram for Predicting Cancer-Specific Survival in Multiple Primary Colorectal Cancer Patients after Surgery
06:46

Competing-Risk Nomogram for Predicting Cancer-Specific Survival in Multiple Primary Colorectal Cancer Patients after Surgery

Published on: September 27, 2024

213

Implementing Cancer Registry Data With the PCORnet Common Data Model: The Greater Plains Collaborative Experience.

Bradley D McDowell1, Michael A O'Rorke2, Mary C Schroeder3

  • 1Holden Comprehensive Cancer Center, University of Iowa, Iowa City, IA.

JCO Clinical Cancer Informatics
|December 17, 2024
PubMed
Summary
This summary is machine-generated.

Integrating cancer registry data with electronic health records (EHRs) creates a robust resource for cancer research. This approach enhances real-world studies by providing structured data across multiple institutions.

More Related Videos

Generation of Comprehensive Thoracic Oncology Database - Tool for Translational Research
11:18

Generation of Comprehensive Thoracic Oncology Database - Tool for Translational Research

Published on: January 22, 2011

16.0K
Development of Compendium for Esophageal Squamous Cell Carcinoma
03:36

Development of Compendium for Esophageal Squamous Cell Carcinoma

Published on: April 12, 2024

377

Related Experiment Videos

Last Updated: Jun 4, 2025

Competing-Risk Nomogram for Predicting Cancer-Specific Survival in Multiple Primary Colorectal Cancer Patients after Surgery
06:46

Competing-Risk Nomogram for Predicting Cancer-Specific Survival in Multiple Primary Colorectal Cancer Patients after Surgery

Published on: September 27, 2024

213
Generation of Comprehensive Thoracic Oncology Database - Tool for Translational Research
11:18

Generation of Comprehensive Thoracic Oncology Database - Tool for Translational Research

Published on: January 22, 2011

16.0K
Development of Compendium for Esophageal Squamous Cell Carcinoma
03:36

Development of Compendium for Esophageal Squamous Cell Carcinoma

Published on: April 12, 2024

377

Area of Science:

  • Health Informatics
  • Oncology Research
  • Data Integration

Background:

  • Electronic health records (EHRs) offer valuable real-world data for cancer studies.
  • EHRs often lack structured data like diagnosis dates and disease stage.
  • Hospital cancer registries contain essential structured data for cancer research.

Purpose of the Study:

  • To describe the integration of cancer registry data with EHR and billing data.
  • To create an interoperable data model for a multisite clinical research network.
  • To enhance real-world cancer research by combining diverse data sources.

Main Methods:

  • Cancer registry data were implemented into a tumor table compatible with the PCORnet Common Data Model (CDM).
  • Distributed queries were used to assess and remediate data quality issues.
  • Descriptive frequencies of cancer types, demographics, and linked BMI were generated.

Main Results:

  • Eleven sites successfully implemented the tumor table, creating a resource with data for 572,902 tumors.
  • Institutional and technical challenges were overcome during data integration.
  • Significant variations in racial and ethnic distributions were observed across sites.

Conclusions:

  • Integrating cancer registry data into the PCORnet CDM creates a powerful, multisite resource for cancer studies.
  • This approach provides a broader range of structured, cancer-relevant data.
  • The enhanced CDM tumor table improves the network's effectiveness for real-world cancer research.