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Related Concept Videos

Clinical Trials01:16

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...
Clinical Trials: Overview01:11

Clinical Trials: Overview

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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Supporting grid-based clinical trials in Scotland.

R O Sinnott1, A J Stell, O Ajayi

  • 1National e-Science Centre, University of Glasgow, Glasgow, UK. r.sinnott@nesc.gla.ac.uk

Health Informatics Journal
|May 15, 2008
PubMed
Summary

Developing a secure, flexible computational infrastructure is crucial for clinical trials and population studies. This project explored challenges in accessing and using distributed clinical data dynamically for research.

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Area of Science:

  • Health Informatics
  • Clinical Trial Management
  • Population Health Studies

Background:

  • Complex clinical trials and population studies require robust computational infrastructure.
  • Existing systems often lack flexibility and security for distributed clinical datasets.
  • Need for reusable frameworks to accommodate diverse trial-specific data requirements.

Purpose of the Study:

  • To present experiences in developing a national computational infrastructure for trials and epidemiological studies.
  • To address challenges in accessing and utilizing distributed clinical datasets securely and flexibly.
  • To explore the creation of a reusable framework for complex medical research.

Main Methods:

  • Development of the Scottish component of the Virtual Organisations for Trials and Epidemiological Studies (VOTES) infrastructure.
  • Focus on creating a flexible, dynamic, and secure system for accessing and processing clinical data.
  • Collaboration between the National e-Science Centre (NeSC) and UK universities.

Main Results:

  • Identified key issues in accessing and using distributed clinical datasets.
  • Demonstrated the feasibility of developing a flexible and secure data access framework.
  • Highlighted the advantages of a reusable infrastructure for diverse research needs.

Conclusions:

  • A secure and flexible computational infrastructure is essential for advancing clinical trials and population studies.
  • The VOTES project provides valuable insights into building such systems.
  • Addressing data access and security challenges is critical for dynamic and efficient medical research.