Share Description
This course provides you with the main concepts and practical knowledge of planning, collecting, organizing, and analyzing data regarding clinical research. If you are new to this course, first understand what clinical research is; It is the study of health and illness in humans, which mainly focuses on understanding diseases and working on how to diagnose, prevent, and treat them. Here in this course, you will mainly deal with how to manage the data and work on it.
Topics Covered
This course is mainly divided into 6 modules:
- Research data collection strategy: Here, the instructor will discuss the structure of the course and give you the basic concept of clinical research. They also discuss best practices for designing the clinical research data collection.
- Electronic data capture fundamentals: Here you will discuss standardization of study process, validated instruments for clinical research, data standard and different legal frameworks. You will also be given an introduction to the Electronic Data Capture (EDC), EDC concepts, data import, export, scheduling, reports, project creation, etc.
- Planning a Data Strategy for Prospective Study: This module will provide you with the concept of different data elements like Baseline data and demographics, variables, forms, etc.
- Implementation: This module will only focus on your practices and testing. You will be working on projects, creating variables, adding fields to baseline forms, creating visit forms, etc. The instructor would also be discussing data quality and monitoring of data quality.
- Post-Study Activities and Other Considerations: This module helps you in learning how and when to wrap up your study, sharing your work, common information systems used in healthcare and Neuroimaging Data Management. You will learn only data collection and analysis are not important but also data privacy in a global network and Data management for multi-center.
- Data collection with surveys: Surveys are the best option considered when it comes to data collecting, so here you will deal with these concepts. Here you will deal will survey procedure, implementation, testing, analyzing and REDCap setups.
Who Can Benefit?
This course can benefit several users like:
- Clinical Research Professionals: If you are a clinical research coordinator, manager or data analyst, this course is a perfect opportunity to boost your data management skills.
- Students and New Graduates: For anyone looking to start a career in healthcare, clinical research or data science, this course provides essential knowledge that will set you up for success in the field.
- Healthcare Practitioners: Medical professionals who want to grasp the data management side of clinical trials will find this course helpful for enhancing their research skills.
Why Take This Course?
Participants will gain practical data management skills that they can apply directly to actual clinical research situations, which will improve their potential. After completing this course, you can also improve your resume and open up new work chances in the growing field of clinical research. This course also contains hands-on exercises with REDCap, which provide learners with important skills in developing and maintaining data collection instruments. Also, you will be able to connect with a community of learners and professionals, creating connections that could lead to future collaborations and job opportunities.
