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Clinical Trials

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.
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Updated: May 22, 2026

A Metadata Extraction Approach for Clinical Case Reports to Enable Advanced Understanding of Biomedical Concepts

A Metadata Extraction Approach for Clinical Case Reports to Enable Advanced Understanding of Biomedical Concepts

Published on: September 20, 2018

Data management in clinical research: An overview.

Binny Krishnankutty¹, Shantala Bellary, Naveen B R Kumar

¹Global Medical Affairs, Dr. Reddy's Laboratories Ltd., Ameerpet, Hyderabad, India.

Indian Journal of Pharmacology

|April 25, 2012

Summary

This summary is machine-generated.

Clinical Data Management (CDM) ensures high-quality trial data for faster drug development. Effective CDM processes and tools are essential for meeting regulatory demands and accelerating product commercialization.

Keywords:

Clinical data interchange standards consortium clinical data management systems data management e-CRF good clinical data management practices validation

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Area of Science:

Clinical Research
Data Science
Regulatory Affairs

Background:

Clinical Data Management (CDM) is crucial for generating reliable data in clinical trials.
High-quality data accelerates the drug development timeline from research to market.
CDM professionals are involved throughout the entire clinical trial lifecycle.

Purpose of the Study:

To highlight the essential processes within Clinical Data Management.
To provide an overview of tools and standards used in CDM.
To define the roles and responsibilities of CDM professionals.

Main Methods:

Review of standard Clinical Data Management procedures.
Assessment of quality control measures at various trial stages.
Discussion of regulatory requirements and electronic data submission mandates.

Main Results:

CDM encompasses CRF design, data entry, validation, coding, and database locking.
Regulatory compliance and advanced data management tools are key to meeting industry demands.
Electronic data submission is increasingly mandatory.

Conclusions:

Robust CDM processes are vital for ensuring data integrity and regulatory compliance.
Adaptability to evolving technology and stringent quality standards is necessary for CDM professionals.
Effective CDM contributes significantly to the efficient commercialization of pharmaceutical products.