Certified AI Clinical Trials Analyst (CAICTA) from Tonex, Inc.

Certified AI Clinical Trials Analyst (CAICTA)

"Certified AI Clinical Trials Analyst (CAICTA)" covers the use of AI in trial design, recruitment optimization, and remote patient monitoring. Participants learn to ensure data accuracy, privacy, and security while working with sensitive health information. Cybersecurity content focuses on preventing unauthorized access, ensuring traceability, and avoiding AI system manipulation that could affect trial validity or patient safety.

Course Overview

Overall Proficiency Level

2 - Intermediate

Course Catalog Number

T101

Course Prerequisites

None

Training Purpose

Functional Development

Management Development

Specific Audience

All

Delivery Method

Online, Self-Paced

Online, Self-Paced

Learning Objectives

Understand the role of AI in optimizing clinical trial design and execution.
Analyze how AI improves patient recruitment, data collection, and trial monitoring.
Evaluate the impact of AI on clinical trial efficiency and data quality.
Identify AI-driven analytics techniques for interpreting clinical trial results.
Discuss the critical cybersecurity measures required to protect sensitive patient and trial data from breaches and ensure data integrity throughout AI-driven clinical trials.

Framework Connections

The materials within this course focus on the NICE Framework Task, Knowledge, and Skill statements identified within the indicated NICE Framework component(s):

Competency Areas

Work Roles

Feedback

If you would like to provide feedback on this course, please e-mail the NICCS team at NICCS@mail.cisa.dhs.gov. Please keep in mind that NICCS does not own this course or accept payment for course entry. If you have questions related to the details of this course, such as cost, prerequisites, how to register, etc., please contact the course training provider directly. You can find course training provider contact information by following the link that says “Visit course page for more information...” on this page.