Clinical Trials Data Management and Quality Assurance
5.0 /5- Offered byCoursera
Clinical Trials Data Management and Quality Assurance at Coursera Overview
Duration | 7 hours |
Start from | Start Now |
Total fee | Free |
Mode of learning | Online |
Difficulty level | Beginner |
Official Website | Explore Free Course  |
Credential | Certificate |
Clinical Trials Data Management and Quality Assurance at Coursera Highlights
- Earn a Certificate upon completion
Clinical Trials Data Management and Quality Assurance at Coursera Course details
- In this course, you?ll learn to collect and care for the data gathered during your trial and how to prevent mistakes and errors through quality assurance practices
- Clinical trials generate an enormous amount of data, so you and your team must plan carefully by choosing the right collection instruments, systems, and measures to protect the integrity of your trial data
- You?ll learn how to assemble, clean, and de-identify your datasets
- Finally, you?ll learn to find and correct deficiencies through performance monitoring, manage treatment interventions, and implement quality assurance protocols
Clinical Trials Data Management and Quality Assurance at Coursera Curriculum
Data Collection Instruments
Definitions and Introduction
General Principles
Design Considerations
Data Collection Instrument (DCI) and Database Interactions
Data Collection Instrument (DCI) Revisions
Other Data Collection Instrument (DCI) Issues
Welcome to the Course
Data Collection Instruments
Data Management
Definitions and Overview
Database Systems
Excel
External Data
Data Integrity
Data Management
Data Assembly and Distribution
Data Freeze and Data Lock
Data Cleaning
De-Identification
Data Sharing
Data Standards
Data Assembly and Distribution
Introduction to Performance Monitoring
Performance Monitoring by Trial Stage
Site Visits
Performance Monitoring
Intervention Management
Principles of Management of Treatment Interventions
Masking Interventions
Example: Asthma Trial
Managing Treatment Supplies
Intervention Management
Definitions and Introduction
Trial Design Phase
Trial Preparation Phase
Trial Execution Phase
Trial Conclusion Phase
Conclusion
Closing Thoughts
Quality Assurance
Clinical Trials Data Management and Quality Assurance at Coursera Admission Process
Important Dates
Other courses offered by Coursera
Clinical Trials Data Management and Quality Assurance at Coursera Students Ratings & Reviews
2 Ratings- 4-52
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