What do Clinical Data Managers do?
Apply knowledge of health care and database management to analyze clinical data, and to identify and report trends.
- 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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