Master Clinical Data Management with Our Comprehensive Course!

🚀 Course Title: Clinical Data Management Course 2024

🏫 Instructor: Srikanth Gorantla

👀 Course Headline: Glossary and Abbreviations, Guideline, DMP, CRF, Discrepancy Management, Tools for CDM

• Introduction to CDM: Gain insights into the fundamental principles of Clinical Data Management and understand its importance in the drug development lifecycle.

Core Topics:

• Glossary and Abbreviations: Familiarize yourself with the common terminology and abbreviations used in CDM to ensure effective communication within your team. (📑 Glossary -1, Glossary -2)

• Guidelines for CDM: Learn about the global standards and guidelines that govern clinical data management.

• Data Management Plan (DMP): Understand how to design a DMP that aligns with regulatory requirements.

• CDM Processes: From inception to completion, explore the processes involved in clinical trials data management.

• Study Document Review & Finalization: Master the art of reviewing and finalizing study documents to ensure accuracy and compliance.

• Database Designing: Acquire skills in designing robust and efficient databases for storing clinical trial data.

• Data Collection & CRF Tracking: Learn effective strategies for collecting data and managing Case Report Forms (CRFs).

• CRF Development/Design: Discover the best practices for developing CRFs that facilitate accurate and complete data entry.

• CRF Processing & Inventory Management: Understand how to manage CRF inventory from sites, ensuring data integrity.

• Data Entry: Gain proficiency in data entry with a focus on maintaining high-quality standards.

• Data Validation: Learn techniques for validating data to ensure its accuracy and reliability.

• Discrepancy Management: Master the processes for managing discrepancies and inconsistencies in clinical trial data.

• Medical Coding: Get up to speed with medical coding standards and their role in CDM.

• Database Locking: Understand the importance of database locking in the data management process.

• Quality Assurance/Quality Control (QA/QC) Checks & Data Storage/Archival: Ensure that your data meets quality standards and is stored and archived appropriately.

• Tools for CDM: Explore the latest tools designed to streamline and enhance the CDM process.

• Roles & Responsibilities in CDM: Identify key roles within a CDM team and understand their responsibilities.

• Additional Information related to CDM: Gain additional insights that will further solidify your understanding of clinical data management.