Clinical Data Basics

Clinical Data Basics provides a comprehensive introduction to the essential concepts and practices in clinical data management. Participants will engage with practical applications of data collection, analysis, and reporting specific to healthcare, nutrition, and biotechnology sectors. This course emphasizes hands-on projects that facilitate a deeper understanding of data processes, empowering attendees to effectively contribute to clinical research and data-driven decision-making.
The curriculum is structured to cover critical aspects of clinical data, from the role of data in healthcare outcomes to the technologies that support data management. Participants will have opportunities to collaborate on projects that culminate in a final presentation, potentially published in Cademix Magazine. This course is ideal for individuals seeking to enhance their professional credentials and gain a competitive edge in the job market.
Overview of Clinical Data Management
Data Collection Techniques in Clinical Trials
Introduction to Data Analysis Tools (e.g., Excel, R, SAS)
Understanding Clinical Trial Phases
Data Quality Assurance and Control
Regulatory Requirements in Clinical Data
Data Visualization Techniques
Basics of Electronic Data Capture (EDC) Systems
Case Studies in Clinical Data Applications
Final Project: Design and Present a Clinical Data Management Plan

Equip participants with foundational skills in clinical data management to enhance their employability and practical knowledge in the healthcare sector.

Graduates, job seekers, business professionals, and optionally researchers or consultants.

Basic understanding of healthcare concepts and familiarity with data analysis tools is recommended.