Clinical Trials Data Management and Quality Assurance

This course is part of Clinical Trials Operations Specialization

Instructors: Janet Holbrook, PhD, MPH +2 more

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What you'll learn

  •   Collect and manage clinical trials data
  •   Assemble and share clinical trials data
  •   Conduct statistical performance monitoring
  •   Perform quality assurance for clinical trials
  • Skills you'll gain

  •   Data Governance
  •   Data Compilation
  •   Clinical Trials
  •   Patient Treatment
  •   Data Collection
  •   Data Cleansing
  •   Data Security
  •   Microsoft Excel
  •   Clinical Data Management
  •   Data Sharing
  •   Data Integrity
  •   Quality Assurance
  •   Data Quality
  • There are 6 modules in this course

    In this course, you’ll learn to collect and care for the data gathered during your trial and how to prevent mistakes and errors through quality assurance practices. Clinical trials generate an enormous amount of data, so you and your team must plan carefully by choosing the right collection instruments, systems, and measures to protect the integrity of your trial data. You’ll learn how to assemble, clean, and de-identify your datasets. Finally, you’ll learn to find and correct deficiencies through performance monitoring, manage treatment interventions, and implement quality assurance protocols.

    Data Management

    Data Assembly and Distribution

    Performance Monitoring

    Intervention Management

    Quality Assurance

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