Clinical data management (CDM) is paramount for a successful research. After all, Garbage In, Garbage Out (GIGO). CDM involves all aspects of collecting, processing, and interpreting information. There are many types of computer applications and database systems to support data collection and management. However, there are elements of CDM that apply across the board.
Review and approval of drugs or devices by regulatory agencies requires the assumption that the data presented are valid and reliable. Integrity of the data is paramount to ensure confidence in the results and conclusions you will make.
This seminar is based on FDA E6 GCP Guidelines which are the basis of effective data quality management. Even if your research is not FDA regulated, the information you learn in this course will help to ensure a robust data collection and management plan. The information conveyed in this course will also assist investigators in setting up processes for smoother data monitoring and auditing.
Examples of CRF’s and required documentation will be presented. Data collection and preparation techniques will also be demonstrated. Additionally, this workshop will provide you with the knowledge and tools needed to assure a CDM plan that holds up when the inevitable deviations from protocol occur. FDB3286
- Brief detail about GCDMP
- 21 CFR Parts 11, 312.62, 812.140
- NIH Policy (SOP 15, 16, 17, 19)
- Data Management Plan
- Data Privacy
- Data Collection
- Data Quality
- Data Review