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Course Length:
1 day
Prerequisites:
None
Objectives:
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Provide users with a basic understanding of MedDRA structure
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Provide users with an overview of coding concepts and specific
knowledge of MedDRA.
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Introduce users to ICH MedDRA Terms Selection: Points to Consider
classification guideline
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Provide practical coding experience with MedDRA
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Provide first hand experience on the implications of MedDRA coding
and its impacts on data management and retrieval
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Provide an overview of MedDRA Coding Quality Assurance
Course Benefits:
At the conclusion of this course,
participants will be able to:
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Navigate throughout MedDRA with confidence
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Appreciate the need for and appropriately apply classification
guidelines
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Appreciate the complexities of performing data classification and
retrieval using MedDRA
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Recognize potential MedDRA related problems
Course Outline:
1.
Coding Concepts
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Objectives of coding
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Necessity for coding guidelines
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Review of ICH guidelines and examples of company coding guidelines
2.
Overview of Current Dictionary and Dictionary Types
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Adverse reactions, diagnoses, drugs, and procedures
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HARTS, COSTART, WHO-ART
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MedDRA inclusion of prior dictionaries
3.
MedDRA Specifics
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Dictionary intent
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Dictionary structure and impact on coding and data retrieval
strategy
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Hierarchical - SOC, HLGT, HLT, PT, LLT
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Multiaxial
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Associative
4.
MedDRA "Tools"
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Autoencoder
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Browser
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Reference texts
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Coder's manual
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Medical abbreviations - common versus standard
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Lab references
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Medical text
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Medical dictionary
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Online resources
5.
MedDRA Coding: Application and Implications
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Introduction to MedDRA coding techniques
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Top down approach
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Bottom up approach
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Applying classroom theory to real life examples
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Explanation of the step by step thought process required to find
the most appropriate LLT in MedDRA
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Reinforcing this process through multiple practice exercises with company
specific data (string text)
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Applying ICH guidelines
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Overview of implications on data analysis and extraction
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Discussion of examples demonstrating the impact of coding on data
management and retrieval
6.
MedDRA Quality Assurance (QA)
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Concepts in QA
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Uniformity across coders
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Uniformity across verbatim text concepts
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Uniformity across national cultures, diversity
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Training a QA group
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Creating uniformity across the QA staff
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Documenting the Process
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Tracking Results and Feedback
7.
Summary and Q&A
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