Data Management for Clinical Research

  • 4.7
Approx. 17 hours to complete

Course Summary

Learn the skills needed to manage clinical data in the healthcare industry with this course. Explore the fundamentals of data management, including data collection, cleaning, and analysis.

Key Learning Points

  • Understand the importance of clinical data management in the healthcare industry
  • Learn the basics of data collection, cleaning, and analysis
  • Explore the different types of data management systems used in healthcare
  • Understand the regulatory requirements related to clinical data management

Related Topics for further study


Learning Outcomes

  • Understand the fundamentals of clinical data management
  • Learn how to collect, clean, and analyze clinical data
  • Gain knowledge of the regulatory requirements related to clinical data management

Prerequisites or good to have knowledge before taking this course

  • Basic understanding of healthcare industry
  • Familiarity with data management concepts

Course Difficulty Level

Intermediate

Course Format

  • Online
  • Self-paced

Similar Courses

  • Introduction to Clinical Research
  • Clinical Trial Management

Related Education Paths


Notable People in This Field

  • Breast Cancer Researcher
  • Digital Medicine Expert

Related Books

Description

This course presents critical concepts and practical methods to support planning, collection, storage, and dissemination of data in clinical research.

Outline

  • Research Data Collection Strategy
  • How the Course Works
  • Course Introduction
  • Defining the Space
  • Research Data Planning 1
  • Research Data Planning 2
  • Approaches to Data Collection
  • Course Logistics
  • Quiz 1
  • Electronic Data Capture Fundamentals
  • Standardization of Study Processes
  • Validated Instruments
  • Data Standards: What Can Standards Do for You?
  • Data Standards: Basic Concepts and Overview
  • IRB, HIPAA, and FISMA
  • GCP and 21 CFR Part 11
  • Introduction to Electronic Data Capture (EDC)
  • EDC Concepts: Data Exports, Logging, User Rights, Project Creation
  • EDC Concepts: Data Imports, Scheduling, Reports, Internationalization
  • Quiz 2
  • Planning a Data Strategy for a Prospective Study
  • Overview of the Study
  • Study Procedures
  • Baseline Data and Demographics
  • Visit Data
  • Review of Variables and Forms
  • Logging in to REDCap
  • Walkthrough: Creating a Project and Adding the First Variables
  • Walkthrough: Adding Fields to the Baseline Form
  • Walkthrough: Adding File Fields and Formatting
  • Quiz 3
  • Practicing What We've Learned: Implementation
  • Walkthrough: Creating Visit Forms
  • Walkthrough: Copying Variables, Renaming Forms
  • Walkthrough: Using the Shared Library, Longitudinal Events, Optional Modules, and User Rights
  • Walkthrough: Testing the REDCap Project
  • Example Study Wrap-Up
  • Mid Study Activities 1
  • Mid Study Activities 2
  • Data Quality
  • Data Quality Monitoring
  • Quiz 4
  • Post-Study Activities and Other Considerations
  • Wrapping Up Your Study
  • Sharing Your Work
  • De-identifying Data
  • De-identifying Dates
  • Common Information Systems Used in Health Care
  • Neuroimaging Data Management
  • mHealth in Developing Countries
  • Data Management for Multi-Center or Network Studies
  • Resource-Limited Settings and Global Health
  • Challenges of Collecting Data in Resource-Constrained Settings
  • Data Privacy in Global Research
  • International Data Sharing
  • Quiz 5
  • Data Collection with Surveys
  • Benefits, Scope, and Validated Instruments
  • Survey Design
  • Survey Procedures and Implementation
  • Survey Testing, Administration, and Analysis
  • Survey Overview and REDCap Setup
  • Survey Testing and Distribution
  • Thank you for participating!
  • Week 6 Quiz

Summary of User Reviews

Clinical Data Management course received positive reviews from users. The course covers various aspects of clinical data management, and users found it to be very informative and helpful in their professional careers.

Key Aspect Users Liked About This Course

The course content is comprehensive and covers various aspects of clinical data management.

Pros from User Reviews

  • The course material is well-organized and easy to follow
  • The instructors are knowledgeable and provide clear explanations
  • The assignments and quizzes are challenging but helpful in reinforcing the concepts learned in the course

Cons from User Reviews

  • Some users found the pace of the course to be too fast
  • The course may be too technical for beginners in the field
  • The discussion forums could be more active and engaging
English
Available now
Approx. 17 hours to complete
Stephany Duda, PhD, Paul Harris, PhD
Vanderbilt University
Coursera

Instructor

Stephany Duda, PhD

  • 4.7 Raiting
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