Document classification
• eTMF AI engine auto classifies document to correct
TMF Reference Model Folder
• Provides additional document identifiers
Document classification
Document metadata
• eTMF AI engine auto extracts relevant metadata
(date, language, site personnel names, etc.)
Document metadata
Initial document QC
• eTMF AI engine reviews document legibility and defects
• Checks for duplicates
Document upload
• Bulk upload batch processing
• Integration with other upstream systems
Placeholder management
• Users no longer have to proactively create or propose placeholder
• Triggers an auto-proposal task
Document QC/ validation
• Reduce QC review time
• Removes extraneous QC steps
• Applies risk based QC approach
Initial document QC
Placeholder
management
Key Features of IQVIA Intelligent eTMF
Proven AI/ML to reduce cycle time, improve quality,
and simplify the user experience
Document upload
Document QC/ validation
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