Clinical Data Management

Course Description

High-quality clinical data are at the heart of a successful clinical trial. If the data are not complete or do not reflect the actual reported results, the analysis and the conclusions drawn from that analysis may not be reliable. This course provides clinical trial personnel a solid understanding of the steps involved in clinical data management from study site data collection through data extraction for analysis. 

Learning Outcomes

At the conclusion of the course, you should be able to

• List the common tasks undertaken as part of clinical data management.
• Understand the details and variations associated with each of those tasks.
• Write a data transfer specification for collecting lab data.
• Write a quality specification and query message for cleaning Case Report Form (CRF) data.
• Define the deliverables and responsibilities when working with Contract Research Organizations (CRO).
• Write a data management plan.

Topics Include

• A planned approach to clinical data management
• Basic design and specification of the database and cleaning rules
• Required documentation, standard operating procedures (SOPs), and quality control
• Compliance with FDA/ICH guidelines
• Working with other clinical groups and external contract research organizations (CROs)
• Using electronic data capture (EDC)
• Data security and confidentiality

Additional Information

AI* - This course teaches students how to leverage generative AI tools like ChatGPT, Gemini or Notebook LM by fine-tuning their prompting skills to accelerate understanding of medical concepts translated into Clinical Data Capture, enhance problem-solving of data quality issues, and deepen their understanding of Data Collection Standards. 

Professional Credit

UCSC EXTENSION Approved by the California Board of Registered Nursing, Provider Number 13114, for 20 contact hours