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Related Concept Videos

Clinical Trials01:16

Clinical Trials

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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.
There are four phases in a clinical trial. A phase one...
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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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Statistical Software for Data Analysis and Clinical Trials01:12

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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...
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Types of Biopharmaceutical Studies: Controlled and Non-Controlled Approaches01:23

Types of Biopharmaceutical Studies: Controlled and Non-Controlled Approaches

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Biopharmaceutical studies constitute a vital field aiming to enhance drug delivery methods and refine therapeutic approaches, drawing upon diverse interdisciplinary knowledge. In research methodologies, the choice between controlled and non-controlled studies significantly influences the study's reliability and accuracy.
Non-controlled studies, commonly employed for initial exploration, lack a control group, rendering them susceptible to biases and external influences. In contrast,...
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Study Designs in Epidemiology01:20

Study Designs in Epidemiology

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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.
Observational studies are those where the researcher does not intervene but rather observes natural variations. They include cross-sectional, cohort, and...
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Bioavailability Study Design: Healthy Subjects Versus Patients01:15

Bioavailability Study Design: Healthy Subjects Versus Patients

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Bioavailability studies are essential for evaluating a drug's therapeutic efficacy and understanding its absorption patterns under various physiological conditions. Conducting such studies on target patient populations provides more relevant data by simulating real-world disease states. However, practical challenges often necessitate the use of young, healthy adult volunteers as study subjects.Patients may exhibit altered drug absorption patterns due to the effects of the disease itself,...
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Managing multicentre clinical trials with open source.

Dimitri Aristotle Raptis1, Tobias Mettler, Michael Alexander Fischer

  • 1Division of Visceral and Transplant Surgery, Swiss HPB Center, University Hospital Zurich , Zurich , Switzerland .

Informatics for Health & Social Care
|February 13, 2014
PubMed
Summary
This summary is machine-generated.

Developing a web-based open source platform addresses challenges in multicentre clinical trials. This system enhances efficiency and data quality, supporting collaborative research efforts.

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Area of Science:

  • Clinical Research Informatics
  • Health Services Research
  • Software Engineering

Background:

  • Multicentre clinical trials face significant administrative burdens, data management issues, and high costs.
  • These challenges reduce physician enthusiasm and commitment, leading to reluctance in conducting multicentre studies.
  • Existing systems often fail to adequately address the complexities of multicentre trial administration.

Purpose of the Study:

  • To develop a novel web-based open source platform specifically designed to support multicentre clinical trials.
  • To create a flexible and accessible solution to mitigate the administrative and data management challenges inherent in multicentre research.
  • To provide a cost-effective tool that can be freely adopted and adapted by research institutions.

Main Methods:

  • Utilized the design science research approach to systematically develop the platform.
  • Leveraged Drupal, an open source content management system, for its flexibility and extensibility.
  • Implemented a web-based clinical trial management system (CTMS) architecture tailored for multicentre collaboration.

Main Results:

  • The developed open source CTMS was successfully evaluated through user testing.
  • The platform demonstrated its capability to effectively support multiple completed and ongoing multicentre clinical trials.
  • The system is available for free download, promoting wider adoption and accessibility.

Conclusions:

  • Open source clinical trial management systems can significantly enhance the efficiency of multicentre trials.
  • These systems improve the quality of data management and foster better collaboration among participating sites.
  • The adoption of open source solutions offers a sustainable and scalable approach to managing complex clinical research endeavors.