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

Health Information Technology and Healthcare Information System01:30

Health Information Technology and Healthcare Information System

3.7K
Health Information Technology (HIT)
Health Information Technology, commonly called HIT, integrates advanced information systems and technology in healthcare settings. Its primary functions include:
3.7K
Methods of Documentation VII: EMR01:30

Methods of Documentation VII: EMR

1.7K
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...
1.7K
Statistical Software for Data Analysis and Clinical Trials01:12

Statistical Software for Data Analysis and Clinical Trials

1.9K
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...
1.9K
Methods of Documentation V: CBE01:23

Methods of Documentation V: CBE

1.6K
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...
1.6K
Bioequivalence Experimental Study Designs: Repeated Measures, Cross-Over, Carry-Over, and Latin Square Designs01:15

Bioequivalence Experimental Study Designs: Repeated Measures, Cross-Over, Carry-Over, and Latin Square Designs

403
Bioequivalence experimental study designs play a pivotal role in testing the effectiveness of various treatments. Key among these are the repeated measures, cross-over, carry-over, and Latin square designs. In the repeated measures design, each subject receives all treatments, allowing for temporal comparisons. This type of design is useful in reducing variability but requires careful planning to avoid bias.The cross-over design, an economical method, involves sequential administration of...
403
Study Designs in Epidemiology01:20

Study Designs in Epidemiology

1.6K
Epidemiological study designs are fundamental tools for investigating the distribution, determinants, and control of health conditions in populations. They help researchers understand the relationships between exposures and outcomes, and they broadly fall into two categories: "observational" and "experimental" studies.
Observational studies are those where the researcher does not intervene but rather observes natural variations. They include cross-sectional, cohort, and...
1.6K

You might also read

Related Articles

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

Sort by
Same author

Designing a "Thinking System" to Reduce the Human Burden of Care Delivery.

EGEMS (Washington, DC)·2019
Same author

Information technology-enabled team-based, patient-centered care: The example of depression screening and management in cancer care.

Health policy and technology·2017
Same author

Building sustainable multi-functional prospective electronic clinical data systems.

Medical care·2012
Same author

Screening for HCV infection: understanding the USPSTF recommendation.

American family physician·2005
Same author

Beneficial impact of genome projects on tuberculosis control.

Infectious disease clinics of North America·2002

Related Experiment Video

Updated: Apr 19, 2026

Databases to Efficiently Manage Medium Sized, Low Velocity, Multidimensional Data in Tissue Engineering
09:43

Databases to Efficiently Manage Medium Sized, Low Velocity, Multidimensional Data in Tissue Engineering

Published on: November 22, 2019

6.9K

Building electronic data infrastructure for comparative effectiveness research: accomplishments, lessons learned and

Gurvaneet S Randhawa1

  • 1Medical Officer, Center for Evidence & Practice Improvement, Agency for Healthcare Research & Quality, Rockville, MD 20850, USA.

Journal of Comparative Effectiveness Research
|December 16, 2014
PubMed
Summary
This summary is machine-generated.

Large investments in health information technology are building electronic clinical data infrastructure to improve patient outcomes. These projects lay the groundwork for a national research network and a learning health system.

Keywords:
American Recovery Reinvestment Actclinical informaticscomparative effectiveness researchdata infrastructuredistributed researchlearning health systemquality improvementregistrysustainability

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

1.9K
TBase - an Integrated Electronic Health Record and Research Database for Kidney Transplant Recipients
09:00

TBase - an Integrated Electronic Health Record and Research Database for Kidney Transplant Recipients

Published on: April 13, 2021

5.6K

Related Experiment Videos

Last Updated: Apr 19, 2026

Databases to Efficiently Manage Medium Sized, Low Velocity, Multidimensional Data in Tissue Engineering
09:43

Databases to Efficiently Manage Medium Sized, Low Velocity, Multidimensional Data in Tissue Engineering

Published on: November 22, 2019

6.9K
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

1.9K
TBase - an Integrated Electronic Health Record and Research Database for Kidney Transplant Recipients
09:00

TBase - an Integrated Electronic Health Record and Research Database for Kidney Transplant Recipients

Published on: April 13, 2021

5.6K

Area of Science:

  • Health Services Research
  • Health Informatics
  • Comparative Effectiveness Research

Background:

  • Significant knowledge gaps exist regarding the real-world impact of diagnostics and therapeutics on patient outcomes.
  • Comparative effectiveness research is crucial for maximizing the effectiveness of healthcare interventions.
  • Health information technology offers transformative potential for medical practice and research.

Purpose of the Study:

  • To provide an overview of US$100 million in American Recovery and Reinvestment Act funding for 12 projects.
  • To detail the development of an electronic clinical data infrastructure connecting healthcare delivery with research.
  • To outline achievements and lessons learned to inform future infrastructure development.

Main Methods:

  • Overview of 12 Agency for Healthcare Research and Quality (AHRQ)-managed projects funded by the American Recovery and Reinvestment Act.
  • Focus on building electronic clinical data infrastructure.
  • Analysis of project outcomes and lessons learned.

Main Results:

  • Established a foundation for the National Patient-Centered Clinical Research Network (PCORnet).
  • Demonstrated the potential of health information technology to improve research and clinical practice.
  • Identified key lessons for developing scalable and sustainable health data infrastructure.

Conclusions:

  • The funded projects successfully advanced the development of electronic clinical data infrastructure.
  • Lessons learned will guide the creation of an efficient, scalable, and sustainable learning health system.
  • This initiative is foundational for improving real-world patient outcomes through research and technology.