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Related Concept Videos

Clinical Trials: Overview01:11

Clinical Trials: Overview

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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...
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Clinical Trials01:16

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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.
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Methods of Documentation VII: EMR01:30

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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...
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Hazard Ratio01:12

Hazard Ratio

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The hazard ratio (HR) is a widely used measure in clinical trials to compare the risk of events, such as death or disease recurrence, between two groups over time. It reflects the ratio of hazard rates—the instantaneous risk of the event occurring—between a treatment group and a control group. This measure provides valuable insights into the relative effectiveness of a treatment by assessing how the risk of an event differs between the two groups.
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Blinding01:11

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Blinding is a commonly used method of not telling participants which treatment a subject is receiving. Blinding is a critical part of a randomized control trial or RCT. It reduces the bias that affects the results. In an RCT, blinding is used in the form of a placebo. A placebo effect occurs when untreated subjects falsely believe they have received the treatment and report improved symptoms. A placebo or a dummy treatment is administered to subjects to negate the bias caused by such an effect.
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Study Designs in Epidemiology01:20

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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.
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Related Experiment Video

Updated: Jul 17, 2025

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Optimizing data integration in trials that use EHR data: lessons learned from a multi-center randomized clinical

Sudha R Raman1, Laura G Qualls2, Bradley G Hammill3,2

  • 1Department of Population Health Sciences, Duke University School of Medicine, Durham, NC, USA. sudha.raman@duke.edu.

Trials
|September 1, 2023
PubMed
Summary
This summary is machine-generated.

Leveraging electronic health records (EHR) in clinical trials requires central support for site operations. This demonstration project highlights strategies for successful EHR-sourced trial integration and identifies needs for broader site participation.

Keywords:
Data qualityElectronic health recordsPragmatic clinical trial as topicResearch design

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Area of Science:

  • Clinical Trials
  • Health Informatics
  • Data Management

Background:

  • Electronic health records (EHR) offer promise for clinical trials but face challenges in operationalizing study goals.
  • Uncertainty exists regarding the optimal use of existing trial sites and infrastructure for EHR-sourced trials.
  • Evidence is needed to support the practical integration of EHR data in modern clinical research settings.

Purpose of the Study:

  • To demonstrate a project utilizing EHR data to supplement data collection in a multi-center pharmaceutical outcomes trial.
  • To outline the role of a central coordinating center in supporting technical, governance, and operational aspects of EHR-sourced trials.
  • To identify operational considerations, challenges, and lessons learned for implementing EHR data collection strategies.

Main Methods:

  • Conducted a survey of potential sites to assess feasibility and determine data extraction strategies.
  • Developed a flexible, multimodal data extraction approach (leveraging existing sources, creating datamarts, or centralizing data).
  • Evaluated site performance based on contracting speed, IRB approval, enrollment, yield, and data quality, comparing different data collection strategies.

Main Results:

  • A central coordinating center effectively supported participating sites in technical, governance, and operational aspects.
  • Site performance varied, with different data collection strategies showing distinct outcomes.
  • Flexible data extraction approaches were feasible for diverse site capabilities.

Conclusions:

  • Central coordinating center support is crucial for the successful execution of operational processes in EHR-sourced trials.
  • Broader site participation through EHR data can enhance generalizability and enrollment but may require additional support for sites with fewer resources.
  • Future efforts should focus on sharing lessons learned and developing reusable tools to facilitate participation of diverse trial sites.