Professional Excellence Program in Clinical Data Management (PEP-CDM)

Professional Excellence Program in Clinical Data Management

Advanced 5(1 Ratings) 95 Students enrolled English
Created by Admin Cliniversity
Last updated Tue, 18-Jul-2023
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Course overview

The Professional Excellence Program in Clinical Data Management (PEP-CDM) is designed to provide students with the necessary skills and knowledge to manage clinical trial data effectively. It is a specialized field within the healthcare and pharmaceutical industries that focuses on collecting, organizing, and analyzing data generated during clinical trials.

During CDM training, students will learn a variety of essential skills and concepts that are crucial for a successful career in the Clinical Data Management industry. Here are some key areas covered in CDM training:

  1. Data Collection and Entry: Students will learn how to design case report forms (CRFs) and develop data collection tools. They will understand the importance of accurate and consistent data entry and learn techniques to ensure data quality.

  2. Data Validation and Cleaning: Participants will gain expertise in identifying and resolving data discrepancies and errors. They will learn data validation techniques, including query management and discrepancy management processes.

  3. Database Design and Management: Students will be introduced to the principles of database design and management. They will learn how to create and maintain databases to store clinical trial data securely.

  4. Regulatory Guidelines: Understanding regulatory guidelines and industry standards is essential in clinical data management. Students will learn about Good Clinical Data Management Practices (GCDMP) and other relevant regulations such as Good Clinical Practice (GCP) guidelines.

  5. Data Analysis and Reporting: CDM training equips students with skills to analyze and interpret clinical trial data. They will learn statistical concepts and software tools used for data analysis. Students will also gain knowledge in generating reports for regulatory submissions and scientific publications.

  6. Quality Assurance: Quality assurance plays a vital role in ensuring data integrity and compliance. Students will learn about quality control processes, data audits, and quality management systems.

  7. Electronic Data Capture (EDC) Systems: EDC systems are widely used in clinical trials for data capture and management. Participants will gain hands-on experience with popular EDC platforms and learn how to navigate and utilize these systems effectively.

By completing a CDM program, students can develop a strong foundation in clinical data management practices and principles. This training prepares them for various roles in the Clinical Data Management industry, such as:

  1. Clinical Data Coordinator: Responsible for data collection, entry, and validation in clinical trials.

  2. Clinical Data Manager: Oversees the entire data management process, including database design, data cleaning, and quality control.

  3. Clinical Database Programmer: Designs and implements databases, develops data validation checks, and generates reports.

  4. Clinical Data Analyst: Analyzes clinical trial data, performs statistical analysis, and contributes to data interpretation and reporting.

  5. Clinical Research Associate (CRA): Works closely with CDM teams to ensure data quality and compliance with regulatory requirements.

A career in Clinical Data Management offers opportunities for growth and advancement within pharmaceutical, biotechnology, and contract research organizations (CROs). The demand for skilled professionals in this field is steadily increasing as the importance of reliable and accurate clinical trial data continues to grow.

What will i learn?

  • Clinical Data Coordinator: Responsible for data collection, entry, and validation in clinical trials.
  • Clinical Data Analyst: Analyzes clinical trial data, performs statistical analysis, and contributes to data interpretation and reporting.
  • Clinical Data Manager: Oversees the entire data management process, including database design, data cleaning, and quality control.
Requirements
  • B.Pharm, M.Pharm and Pharm.D
  • B.Sc. M.Sc and Ph.D (Biotechnology, Microbiology, Biochemistry and Nursing etc)
  • B.E., B.Tech. M.Tech (Biotech/ Biomedical Engineering)
  • BPT, MPT, BDS, BAMS, BHMS and MBBS
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Admin Cliniversity

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