Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

Methods of Documentation VII: EMR

Methods of Documentation VII: EMR

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 settings,...

Issues And Trends In Healthcare Delivery System

Issues And Trends In Healthcare Delivery System

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...

Nursing Clinical Information System

Nursing Clinical Information System

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:

Integrated Healthcare System

Integrated Healthcare System

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,...

Methods of Documentation V: CBE

Methods of Documentation V: CBE

Charting by Exception, or CBE, is a method of documentation used in healthcare, particularly in nursing, that focuses on documenting only significant or abnormal findings rather than recording every detail. This approach aims to streamline the documentation process, improve efficiency, and ensure that healthcare providers can quickly identify deviations from normalcy in patient assessments.
In CBE, healthcare professionals establish predefined standards of practice that define what constitutes...

Clinical Trials

Clinical Trials

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...

You might also read

Related Articles

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

Sort by

Same author

Findings and recommendations from a root cause analysis of a clinical trial randomization error.

Journal of clinical and translational science·2026

Same author

Feasibility of Technology-Assisted Lifestyle Self-Monitoring in Older Adults With Type 2 Diabetes: Mixed Methods Pilot Study.

JMIR formative research·2026

Same author

Partnering with Latino communities for dementia research: a mixed-methods study of engagement.

Research involvement and engagement·2026

Same author

Addressing Racial Disparities in a Hispanic Population Through Living Donor Liver Transplantation-A Comparison of 2 Eras.

Clinical transplantation·2026

Same author

Concordance of Death Information Between Two Health Systems Serving the Same Region and the Social Security Administration Death Master File: Retrospective Observational Study.

JMIR medical informatics·2026

Same author

A comparison of birth outcomes of infants conceived by intravaginal culture and conventional in vitro fertilization with fresh transfer.

Fertility and sterility·2026

Search research articles

Related Experiment Video

Updated: Jun 20, 2026

E-Patient Counseling Trial (E-PACO): Computer Based Education versus Nurse Counseling for Patients to Prepare for Colonoscopy

E-Patient Counseling Trial (E-PACO): Computer Based Education versus Nurse Counseling for Patients to Prepare for Colonoscopy

Published on: August 1, 2019

Advancing Clinical Trial Efficiency and Data Accuracy through Direct EHR-to-EDC Integration.

Maryam Y Garza¹, Muayad Hamidi¹, Iddo Peleg²

¹The University of Texas Health Science Center at San Antonio, San Antonio, TX, USA.

AMIA Joint Summits on Translational Science Proceedings. AMIA Joint Summits on Translational Science

|June 19, 2026

Summary

Direct electronic health record (EHR) to electronic data capture (EDC) integration significantly reduces clinical trial errors. Automating data transfer improves accuracy and efficiency, overcoming manual transcription risks.

More Related Videos

Reduced Procedure Time and Variability with Active Esophageal Cooling During Radiofrequency Ablation for Atrial Fibrillation

Reduced Procedure Time and Variability with Active Esophageal Cooling During Radiofrequency Ablation for Atrial Fibrillation

Published on: August 25, 2022

Related Experiment Videos

Last Updated: Jun 20, 2026

E-Patient Counseling Trial (E-PACO): Computer Based Education versus Nurse Counseling for Patients to Prepare for Colonoscopy

E-Patient Counseling Trial (E-PACO): Computer Based Education versus Nurse Counseling for Patients to Prepare for Colonoscopy

Published on: August 1, 2019

Reduced Procedure Time and Variability with Active Esophageal Cooling During Radiofrequency Ablation for Atrial Fibrillation

Reduced Procedure Time and Variability with Active Esophageal Cooling During Radiofrequency Ablation for Atrial Fibrillation

Published on: August 25, 2022

Area of Science:

Clinical Research Informatics
Health Data Management
Biomedical Data Standards

Background:

Manual data transcription from electronic health records (EHRs) to electronic data capture (EDC) systems introduces complexity, costs, and data quality risks in clinical trials.
Despite healthcare digitization, redundant data entry remains a significant challenge, impacting operational efficiency and reliability.
Advancements in interoperability standards provide a foundation for automating data transfer between healthcare and research systems.

Purpose of the Study:

To evaluate the impact of direct EHR-to-EDC integration on data quality compared to traditional manual transcription workflows.
To quantify the error rates associated with manual data entry versus automated data transfer in a multi-study, multi-site clinical research setting.

Main Methods:

A multi-study, multi-site assessment comparing data quality outcomes between manual transcription and direct EHR-to-EDC integration.
Analysis of transcription error rates in traditional workflows versus automated data transfer methods.

Main Results:

Manual transcription workflows exhibited a significant error rate of 8.23% (95% CI: 7.79-8.70).
No transcription errors were detected in the direct EHR-to-EDC integrated workflow (95% CI: 0.00-0.03).

Conclusions:

Direct EHR-to-EDC integration substantially improves data reliability by eliminating transcription errors.
Interoperability-based automation offers a transformative approach to enhance data accuracy and operational efficiency in clinical research.