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Syed Haque
Highly experienced CDM Expert

Clinical Data Management (Advanced, EDC Systems)

Webinars

TEST YOUR CDM KNOWLEDGE

Clinical Data Management (Advanced) – the process of collection, cleaning, and management of subject data in compliance with regulatory standards.

Data Management is a very crucial aspect of clinical research, explaining its burst in popularity and the pinned focus by the whole industry, as its proper handling can lead to generation of quality, reliable and statistically sound data from clinical trials, it can boost processes speed, reduce risks, thus reducing costs and optimizing efficiency. After our introductory webinar on the topic and the amazing feedback we got from you, we decided to set up another one, with a more advanced focus on techniques, trends and other tricky and important aspects of Data Management.

  • Introduction into current EDC systems used in Clinical Data Management
  • Challenges with current EDC systems
  • Solutions and suggested enhancements in current EDC systems
  • In-house EDC systems, Rave, Inform and others
  • New features and upgrades to already existing systems
  • Query Management Tools
  • Validation Checks
  • Processes of Query Management
Presented by

Syed Haque, a highly experienced professional, with 12+ years of experience in Clinical Data Management, Project Management, CDM Set-ups, Strategic Planning and other related topics.

Syed is solution-driven and presents a very practical way of thinking about and using Data Management to ensure quality. His track record of big-scale projects is excellent, delivering on time, within budget and with the utmost quality.

Learning objectives

Data Management can be a really good helping tool in advancing and development of business structures, as well as managing the information you possess to an extent that allows you to handle arising issues in clinical research swiftly, by providing the best possible solution, based on facts.

You will be able to identify the key challenges that come with the development of the topic, define expected outcomes for data, identify potential consequences for irresponsible data management and learn everything about the Data Management planning. For more info, check the “Topics Covered in the Webinar “tab.

Audience
  • Clinical Investigators
  • CRAs
  • Clinical Trial Managers
  • Sponsors
  • Compliance specialists
  • Regulatory Affairs professionals
  • Students and academic staff
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