Fundamentals of Good Clinical Practice: Recruitment & Trial (Coursera)

Offered by Novartis,
Fundamentals of Good Clinical Practice: Recruitment & Trial (Coursera)

Welcome to 'Fundamentals of Good Clinical Practice: Recruitment and Trial'! This is the third course in the Clinical Trial GCP series. It is designed to introduce you to the processes, procedures and documentation needed prior, during and after a clinical trial according to Good Clinical Practice (GCP).

Class Deals by MOOC List - Click here and see Coursera's Active Discounts, Deals, and Promo Codes.

In Courses One and Two, we explored the foundations of clinical research, including the preparations and documentation needed to begin a trial as well as the role of the investigator, site staff and the IRB/IEC. We conclude our GCP studies with this final course.
The course is divided into several modules, each covering specific stages of a clinical trial. The modules include a variety of videos, a fictional case study and interactive quizzes to reinforce your learning.
Enroll now and start building a strong foundation in the conduct of clinical research!
This course is part of the Clinical Trials: Good Clinical Practice Specialization.

What you'll learn
Explore the clinical trial process, the details of good clinical practice, and regulatory requirements.

Syllabus

Recruitment & Enrollment of Patients
In Week One, you'll learn about the processes for recruiting and enrolling patients, including how to build a recruitment plan.

Patient consent and working with vulnerable subjects
In Week Two, we’ll focus on the consent process, and also discuss what to consider when working with vulnerable patient groups.

Conducting a Clinical Trial
In Week Three, you'll learn about key documentation, and processes and procedures that occur when conducting a clinical trial which help to ensure protocol compliance. We also cover the steps involved in closing out and archiving a trial.

Go to Class
MOOC List is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

Related Courses

Introduction to Systematic Review and Meta-Analysis (Coursera) Coursera
Johns Hopkins University

Introduction to Systematic Review and Meta-Analysis (Coursera)

We will introduce methods to perform systematic reviews and meta-analysis of clinical trials. We will cover how to formulate an answerable research question, define inclusion and exclusion criteria, search for the evidence, extract data, assess the risk of bias in clinical trials, and perform a meta-analysis.

Aug 24th 2026
5-12 Weeks
Understanding Your Google Cloud Costs en Español (Coursera) Coursera
Google Cloud

Understanding Your Google Cloud Costs en Español (Coursera)

Understanding Your Google Cloud Platform (GCP) Costs es más apropiado para quienes desempeñan cargos relacionados con la tecnología o las finanzas, y son responsables de administrar los costos de GCP. Aprenderá a configurar una cuenta de facturación, organizar recursos y administrar permisos de acceso a la facturación.

Sep 14th 2026
3 Weeks
Google Cloud Product Fundamentals em Português Brasileiro (Coursera) Coursera
Google Cloud

Google Cloud Product Fundamentals em Português Brasileiro (Coursera)

Este curso é uma continuação do "Business Transformation with Google Cloud" e guiará você pela jornada de transformação de uma organização do ponto de vista tecnológico. Explicaremos como as organizações podem fazer a transformação digital usando a tecnologia do Google Cloud nestas categorias: modernização da infraestrutura de TI; melhorias no processo de desenvolvimento dos aplicativos da empresa; uso do machine learning e da inteligência artificial para criar novo valor; a importância de ferramentas de produtividade como o G Suite na realização do trabalho; e compreender as oportunidades e os desafios da gestão do custo que uma infraestrutura de TI na nuvem traz.

Aug 31st 2026
5-12 Weeks
Leadership for Cancer Informatics Research (Coursera) Coursera
Johns Hopkins University

Leadership for Cancer Informatics Research (Coursera)

Informatics research often requires multidisciplinary teams. This requires more flexibility to communicate with team members with distinct backgrounds. Furthermore, team members often have different research and career goals. This can present unique challenges in making sure that everyone is on the same page and cohesively working together. This course aims to provide research leaders with guidance about: How to effectively lead and support team members on informatics projects; How to perform informatics projects well; How to support informatics collaborators, mentees, and employees; How to better support diversity within your team; Tools that can help you perform informatics projects well

Sep 7th 2026
4 Weeks
Interviewing Best Practices (Coursera) Coursera
Automatic Data Processing (ADP)

Interviewing Best Practices (Coursera)

This course is for talent acquisition professionals who want to streamline and improve their interviewing process. The process of interviewing and hiring has been around for eons. However, as the profession of recruiting has adapted to changes in the economy and technology, so has the interviewing process. Recruiters and hiring managers must be prepared to implement well thought out strategies to assess top talent in our industries.

Aug 31st 2026
4 Weeks
Predictive Modeling and Transforming Clinical Practice (Coursera) Coursera
University of Colorado System

Predictive Modeling and Transforming Clinical Practice (Coursera)

This course teaches you the fundamentals of transforming clinical practice using predictive models. This course examines specific challenges and methods of clinical implementation, that clinical data scientists must be aware of when developing their predictive models.

Aug 31st 2026
5-12 Weeks
Clinical Trials Management and Advanced Operations (Coursera) Coursera
Johns Hopkins University

Clinical Trials Management and Advanced Operations (Coursera)

In this course, you’ll learn about the more advanced elements of managing clinical trials. From anticipating and planning for protocol events to conducting systematic reviews to synthesize evidence, you and your study team need the skills to implement best practices throughout the trial process.

Aug 24th 2026
5-12 Weeks
Drug Discovery (Coursera) Coursera
University of California, San Diego

Drug Discovery (Coursera)

The University of California San Diego, Skaggs School of Pharmacy and Pharmaceutical Sciences Drug Discovery course brings you lectures from both faculty and industry experts. With this course, recorded on campus at UCSD, we seek to share our access to top people in the field who bring an unprecedented range of expertise on drug discovery. In this course you will learn the drug discovery process up to the filing of an Initial New Drug Application or IND. Each week you will learn the steps that a pharmaceutical or biotech company goes through to discover a new therapeutic drug.

Sep 7th 2026
3 Weeks
Making Data Science Work for Clinical Reporting (Coursera) Coursera
Genentech

Making Data Science Work for Clinical Reporting (Coursera)

This course is aimed to demonstrate how principles and methods from data science can be applied in clinical reporting. By the end of the course, learners will understand what requirements there are in reporting clinical trials, and how they impact on how data science is used. The learner will see how they can work efficiently and effectively while still ensuring that they meet the needed standards.

Sep 7th 2026
4 Weeks
Design and Conduct of Clinical Trials (Coursera) Coursera
Johns Hopkins University

Design and Conduct of Clinical Trials (Coursera)

In this course, you’ll learn how to design and carry out clinical trials. Each design choice has implications for the quality and validity of your results. This course provides you and your team with essential skills to evaluate options, make good design choices, and implement them within your trial. You’ll learn to control for bias, randomize participants, mask treatments and outcomes, identify errors, develop and test hypotheses, and define appropriate outcomes.

Aug 24th 2026
4 Weeks