Clinical Data Management and Analytics

Clinical data management is the process of collection, cleaning, integration and management of subject data in compliance with regulatory standards. It is a critical phase in clinical research, which leads to generation of high-quality, reliable, and statistically sound data from clinical trials, this has been facilitated by the use of software applications that maintain an audit trail and provide easy identification and resolution of data discrepancies. CDM also supports the conduct, management and analysis of studies across the spectrum of clinical research. The ultimate goal of CDM is to assure that data support conclusions drawn from research. Achieving this goal protects public health and confidence in marketed therapeutics.

 

  • Big data for clinical trials
  • Digitalization of clinical trials
  • Data visualization & Analytics techniques for clinical trial insights
  • CRF/eCRF design and development
  • Electronic data capturing systems
  • SAS programming in data analysis
  • Integrated technology platforms
  • Data & Tech driven clinical trials
  • Data types and data processing techniques
  • Clinical data strategy and analytics
  • Impact of real world data
  • Artificial intelligence in clinical research

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Clinical Data Management and Analytics Conference Speakers

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