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4 Courses

INTRODUCTION TO CLINICAL RESEARCH
Clinical Research Associate Training Program
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Instructor: Kemi Williams

INTRODUCTION TO CLINICAL RESEARCH

This course introduces the definition, types, and phases of clinical research. It also provides an overview of the different industries that conduct clinical research. The course also defines the global guidelines relevant to Good Clinical Practices (GCP) in clinical research and describes the role of a CRA in overall site management. 


Student must have a score of 75% or greater on the quiz to move on to the next course

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  • GOOD CLINICAL PRACTICE
    Clinical Research Associate Training Program
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    Instructor: Kemi Williams

    GOOD CLINICAL PRACTICE

    This module describes the responsibilities of investigators, sponsors, monitors, and IRBs in the conduct of clinical trials. It aims to ensure that; 

    1. The rights, safety, and well-being of human subjects are protected, 
    2. Clinical trials are conducted in accordance with approved plans with rigor and integrity, and 
    3. Data derived from clinical trials are reliable. 


    Student must have a score of 75% or greater on the quiz to move on to the next course

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  • INFORMED CONSENT & DATA PRIVACY
    Clinical Research Associate Training Program
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    Instructor: Kemi Williams

    INFORMED CONSENT & DATA PRIVACY

    This course provides an overview of the CRA’s role in the monitoring of the informed consent process, including the collection, documentation, and management of informed consent at the site level. It also addresses the elements of a good informed consent form, to include participant payments. Attention is also paid to data privacy requirements and their application. 

    Student must have a score of 75% or greater on the quiz to move on to the next course.

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  • GOOD DOCUMENTATION PRACTICE
    Clinical Research Associate Training Program
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    Instructor: Kemi Williams

    GOOD DOCUMENTATION PRACTICE

    This course provides an overview of the Good Documentation Practice as an essential component of the overall quality management systems (QMS) and risk management strategies (QRM). It discusses data collection and review, data accuracy, integrity and validation, data legibility, data system monitoring, and continuous improvement initiatives. 


    Student must have a score of 75% or greater on the quiz to move on to the next course.

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