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

956
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:
956
Health Information Technology and Healthcare Information System01:30

Health Information Technology and Healthcare Information System

1.0K
Health Information Technology (HIT)
Health Information Technology, commonly called HIT, integrates advanced information systems and technology in healthcare settings. Its primary functions include:
1.0K
Integrated Healthcare System01:20

Integrated Healthcare System

2.0K
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,...
2.0K
Clinical Trials: Overview01:11

Clinical Trials: Overview

3.9K
Clinical development focuses on how the drug will interact with the human body and encompasses four key phases of clinical trials, each serving a specific purpose in assessing the safety and effectiveness of new drugs. These phases overlap and build upon one another. Phase I involves a small group of healthy volunteers (typically 20-80 individuals) or, in cases where significant toxicity is expected, patients with the targeted disease, such as cancer or AIDS. The volunteers are tested for...
3.9K
Clinical Trials01:16

Clinical Trials

9.8K
Clinical trials are prospective experimental studies conducted on humans to determine the safety and efficacy of treatments, drugs, diet methods, and medical devices. Using statistics in clinical trials enables researchers to derive reasonable and accurate conclusions from the collected data, allowing them to make wise decisions in uncertain situations. In medical research, statistical methods are crucial for preventing errors and bias.
There are four phases in a clinical trial. A phase one...
9.8K
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

You might also read

Related Articles

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

Sort by
Same author

Sleep disruption from inhalation of biomass smoke: a basis for coincident hypertension?

Particle and fibre toxicology·2025
Same author

Plasma Activin A concentrations are not a useful biomarker for detecting insulin dysregulation and predicting laminitis risk in ponies.

Journal of equine veterinary science·2025
Same author

Comparison of an algorithm, and coding data, with traditional surveillance to identify surgical site infections in Australia: a retrospective multi-centred cohort study.

The Journal of hospital infection·2024
Same author

Opportunities and challenges for biomarker discovery using electronic health record data.

Trends in molecular medicine·2023
Same author

Short Communication: Identification of equine corticotropin-like intermediate lobe peptide (CLIP) binding to an adrenocortipcotrophic hormone (ACTH) assay capture antibody.

Domestic animal endocrinology·2023
Same author

Correction: Burden of five healthcare associated infections in Australia.

Antimicrobial resistance and infection control·2022
Same journal

CoAff-DTI: Fine-grained drug-target interaction prediction using pre-trained language models and affinity-guided mechanisms.

Journal of biomedical informatics·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
See all related articles

Related Experiment Video

Updated: Oct 27, 2025

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

16.1K

REDCap on FHIR: Clinical Data Interoperability Services.

A C Cheng1, S N Duda1, R Taylor1

  • 1Vanderbilt University Medical Center, 2525 West End Ave. Suite 1475, Nashville, TN 37203, USA.

Journal of Biomedical Informatics
|July 23, 2021
PubMed
Summary
This summary is machine-generated.

The REDCap Clinical Data Interoperability Services (CDIS) module streamlines data transfer from electronic health records (EHR) to REDCap, reducing manual errors. This FHIR-enabled service empowers researchers to directly integrate patient data, enhancing research efficiency and accuracy.

Keywords:
Clinical researchElectronic data captureElectronic health recordFast Healthcare Interoperability Resources

More Related Videos

The Participant-Reported Implementation Update and Score PRIUS: A Novel Method for Capturing Implementation-Related Data Over Time
06:05

The Participant-Reported Implementation Update and Score PRIUS: A Novel Method for Capturing Implementation-Related Data Over Time

Published on: February 19, 2021

1.4K
Implementation of a Real-Time Psychosis Risk Detection and Alerting System Based on Electronic Health Records using CogStack
07:31

Implementation of a Real-Time Psychosis Risk Detection and Alerting System Based on Electronic Health Records using CogStack

Published on: May 15, 2020

7.3K

Related Experiment Videos

Last Updated: Oct 27, 2025

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

16.1K
The Participant-Reported Implementation Update and Score PRIUS: A Novel Method for Capturing Implementation-Related Data Over Time
06:05

The Participant-Reported Implementation Update and Score PRIUS: A Novel Method for Capturing Implementation-Related Data Over Time

Published on: February 19, 2021

1.4K
Implementation of a Real-Time Psychosis Risk Detection and Alerting System Based on Electronic Health Records using CogStack
07:31

Implementation of a Real-Time Psychosis Risk Detection and Alerting System Based on Electronic Health Records using CogStack

Published on: May 15, 2020

7.3K

Area of Science:

  • Health Informatics
  • Biomedical Research Data Management
  • Clinical Research Technology

Background:

  • Manual data transfer between Electronic Health Records (EHR) and Electronic Data Capture (EDC) systems is common but prone to errors.
  • Increasing adoption of Health Level Seven Fast Healthcare Interoperability Resource (FHIR) APIs in EHRs enhances data accessibility for external applications like REDCap.

Purpose of the Study:

  • To develop the REDCap Clinical Data Interoperability Services (CDIS) module for seamless data exchange between REDCap and FHIR-enabled EHR systems.
  • To enable end-users to independently configure data mapping and transfer, reducing reliance on Health Information Technology staff.

Main Methods:

  • Developed two use cases: Clinical Data Pull (CDP) for automated data import and Clinical Data Mart (CDM) for comprehensive data collection over time.
  • Designed user-friendly interfaces for access control, authentication, variable selection, and mapping through an iterative process.

Main Results:

  • REDCap CDIS has facilitated the transfer of over 19.5 million data points across 82 projects at Vanderbilt University Medical Center.
  • The software and documentation are accessible via the REDCap Consortium.

Conclusions:

  • The REDCap CDIS module utilizes the FHIR standard for real-time EHR data extraction, allowing researchers to self-manage data mapping and adjudication.
  • CDIS adoption improves data accuracy and efficiency by minimizing manual transcription and flat file uploads in research settings.