Graph and diagram reading principles, selecting appropriate diagrams for various kinds of data, typical mistakes in data visualization, interpreting simple and complex graphs and their components, and tools and software for making complex graphs and diagrams.
Interpreting and creating complex graphs and diagrams
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Training Schedule
The program is specifically designed for medical affairs professionals. Module C. 4 hours.
08:50 – 09:00
08:50 – 09:00
Introduction
Program overview Gathering participant expectations Assessing initial knowledge level
09:00 – 10:00
09:00 – 10:00
Visualization of biomedical data: theory, complex graphs, and diagrams
Principles of interpreting graphs and diagrams at a glance
Selecting appropriate diagram types for visualizing different data
Common mistakes in data visualization
10:00 – 10:30
10:00 – 10:30
Coffee Break
10:30 – 11:30
10:30 – 11:30
Interpretation of simple and complex graphs and their components
Types of scientific journals, their ratings. Where to find, how to interpret. What kind of information we can get from the ratings. Principles of choosing a journal for publication.
Why do we need reference management? The basics of reference management. An overview of the most popular software for working with references.
Searching for scientific-medical information. Reference manage article by checklist
Place of RWD in EBM, data sources for real-world clinical practice studies, and observational studies. Interpretation of study results. RWD planning and execution approach.
How to create effective argument structures, follow established writing standards for medical publications, critically assess and improve their writing through review processes.
What is effective scientific and medical communication? Storytelling principles in articles and presentations, speech objectives, adaptation materials for the audience, online and offline formats.
Overview of AI’s evolving role in enhancing efficiency, accuracy, and insights within Medical Affairs Setting the foundation for understanding AI applications across key processes.
Practical work
Exploring AI-driven tools for conducting precise and efficient searches