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

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

Types 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...
Therapeutic Drug Monitoring: Drug Analysis Methods01:26

Therapeutic Drug Monitoring: Drug Analysis Methods

Therapeutic Drug Monitoring (TDM) is a clinical practice that measures specific drug levels in a patient's blood or body tissues to tailor drug therapy effectively. This monitoring is critical for managing drugs with narrow therapeutic indices like digoxin and phenytoin, ensuring they are both safe and effective. For instance, monitoring theophylline levels in asthma patients involves precision and sensitivity to adjust doses according to individual responses to therapy, ensuring efficacy and...
Therapeutic Drug Monitoring: Affecting Factors01:29

Therapeutic Drug Monitoring: Affecting Factors

Therapeutic Drug Monitoring (TDM) is the clinical practice of measuring specific drug levels in a patient's blood or body tissues to manage and optimize therapy. TDM is crucial for drugs with narrow therapeutic windows, like warfarin and phenytoin, where incorrect doses can lead to treatment failure or severe side effects. This monitoring ensures the dosage administered is within a safe and effective range. The factors affecting therapeutic drug monitoring include:Patient-Specific Factors:a.

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Related Experiment Video

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Adaptation of Semiautomated Circulating Tumor Cell (CTC) Assays for Clinical and Preclinical Research Applications
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Adaptation of Semiautomated Circulating Tumor Cell (CTC) Assays for Clinical and Preclinical Research Applications

Published on: February 28, 2014

Trial analytics--a tool for clinical trial management.

Anindya Bose1, Suman Das

  • 1Healthcare Practice-Lab Automation Division, HCL Technologies Ltd., Kolkata-700156, India. anindyabose_in@yahoo.com

Acta Poloniae Pharmaceutica
|May 19, 2012
PubMed
Summary

Clinical Trial Management Systems (CTMS) face challenges in reporting and visualization. A business intelligence framework, creating Clinical Research Intelligence (CLRI), and a collaborative visualization tool (CTA) can enhance clinical trial efficiency.

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Adaptation of Semiautomated Circulating Tumor Cell (CTC) Assays for Clinical and Preclinical Research Applications
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Area of Science:

  • Clinical research operations
  • Health informatics
  • Data analytics in healthcare

Background:

  • Clinical trials face significant delays and cost overruns, impacting research timelines and budgets.
  • Current Clinical Trial Management Systems (CTMS) often lack the necessary functionalities for timely reporting and effective trend visualization.
  • These limitations hinder managerial control and operational efficiency in clinical trial conduct.

Purpose of the Study:

  • To address the shortcomings of traditional CTMS in clinical trial management.
  • To propose a framework for enhancing clinical trial data collection and analytics.
  • To introduce an innovative visualization tool to improve CTMS capabilities.

Main Methods:

  • Applying a business intelligence (BI) framework to clinical research data.
  • Developing Clinical Research Intelligence (CLRI) for optimized data analysis.
  • Integrating a collaborative visualization tool (CTA) as a CTMS add-on.

Main Results:

  • The proposed CLRI framework, augmented by the CTA tool, aims to overcome CTMS deficiencies.
  • Enhanced data visualization and timely reporting are expected outcomes.
  • Improved managerial control and operational efficiency in clinical trials.

Conclusions:

  • The integration of BI principles and advanced visualization tools can significantly improve CTMS functionality.
  • Clinical Research Intelligence (CLRI) offers a pathway to optimize clinical trial data management.
  • The proposed CTA tool serves as a practical solution to enhance traditional CTMS, leading to more efficient clinical trial conduct.