Related Experiment Videos
Development of grid frameworks for clinical trials and epidemiological studies
Richard Sinnott1, Anthony Stell, Oluwafemi Ajayi
1National e-Science Centre, University of Glasgow, United Kingdom.
Studies in Health Technology and Informatics
|July 11, 2006
Summary
Developing a reusable framework is crucial for managing heterogeneous e-health data infrastructures. This addresses security and data challenges in electronic clinical trials and epidemiological studies.
Area of Science:
- Health Informatics
- Computational Science
- Data Management
Background:
- E-health initiatives require access to diverse clinical and non-clinical datasets across heterogeneous IT infrastructures.
- Existing National Health Service (NHS) IT solutions are often bespoke, legacy-based, and non-interoperable, posing challenges for data sharing.
- Grid technology can address distribution and heterogeneity but requires enhanced security and data handling for clinical trials.
Purpose of the Study:
- To present the challenges in developing a reusable framework for managing e-health data infrastructures.
- To outline initial scenarios and prototypes for such a framework.
Main Methods:
- Identifying challenges in creating and managing interoperable IT infrastructures for e-health.
- Developing prototype solutions within the Virtual Organisations for Trials and Epidemiological Studies (VOTES) project.
Main Results:
- The VOTES project has identified key challenges in building secure and interoperable e-health data frameworks.
- Initial prototypes demonstrate the feasibility of a reusable framework approach.
Conclusions:
- A reusable framework is highly desirable to overcome common challenges in e-health data infrastructure management.
- Addressing specific security and data demands is essential for successful Grid-based clinical trial data management.
Related Concept Videos
01:16Clinical 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...
There are four phases in a clinical trial. A phase one...
01:11Clinical 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...
01:12Statistical Software for Data Analysis and Clinical Trials
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...
01:28Preclinical Development: Overview
Preclinical development consists of a series of tests that ensure the safety and efficacy of a new therapeutic compound before it is tested in humans. There are four main phases to this process. First, safety pharmacology tests are conducted to ensure the drug does not produce any acutely harmful effects. These tests examine parameters such as bronchoconstriction, cardiac dysrhythmias, blood pressure changes, and ataxia. Next, preliminary toxicological testing is performed to determine the...
01:23Types of Biopharmaceutical Studies: Controlled and Non-Controlled Approaches
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, controlled...
Non-controlled studies, commonly employed for initial exploration, lack a control group, rendering them susceptible to biases and external influences. In contrast, controlled...
01:26Introduction to Epidemiology
Epidemiology, known as the cornerstone of public health, involves studying the distribution and determinants of health-related events in defined populations and applying these insights to control health issues. This is essential for understanding how diseases spread, identifying populations at greater risk, and implementing measures to control or prevent outbreaks. Epidemiology addresses not only infectious diseases but also non-communicable conditions like cancer and cardiovascular disease,...