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What do Clinical Data Managers do?

Apply knowledge of health care and database management to analyze clinical data, and to identify and report trends.

What are the Main Tasks of Clinical Data Managers?

  • Develop project-specific data management plans that address areas such as data coding, reporting, or transfer, database locks, and work flow processes.
  • Generate data queries based on validation checks or errors and omissions identified during data entry to resolve identified problems.
  • Design and validate clinical databases including designing or testing logic checks.
  • Design forms for receiving, processing, or tracking data.
  • Process clinical data including receipt, entry, verification, or filing of information.
  • Perform quality control audits to ensure accuracy, completeness, or proper usage of clinical systems and data.
  • Monitor work productivity or quality to ensure compliance with standard operating procedures.
  • Supervise the work of data management project staff.
  • Confer with end users to define or implement clinical system requirements such as data release formats, delivery schedules, and testing protocols.
  • Write work instruction manuals, data capture guidelines, or standard operating procedures.
  • Develop technical specifications for data management programming and communicate needs to information technology staff.
  • Track the flow of work forms including in-house data flow or electronic forms transfer.
  • Prepare data analysis listings and activity, performance, or progress reports.
  • Train staff on technical procedures or software program usage.
  • Evaluate processes and technologies, and suggest revisions to increase productivity and efficiency.
  • Provide support and information to functional areas such as marketing, clinical monitoring, and medical affairs.
  • Contribute to the compilation, organization, and production of protocols, clinical study reports, regulatory submissions, or other controlled documentation.
  • Analyze clinical data using appropriate statistical tools.
  • Prepare appropriate formatting to datasets as requested.
  • Read technical literature and participate in continuing education or professional associations to maintain awareness of current database technology and best practices.
  • Develop or select specific software programs for various research scenarios.
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