AI-DRIVEN ANALYTICS – CLINICAL RESEARCH - Qtech-Sol offers Clinical Research / Trials, Pharmacovigilance, Drug Safety, Clinical Data Management, Clinical SAS Programming and Healthcare BA Training Programs
Category:
Analytics and Reporting
 
Duration:
8 Weeks / 140 Hours
 

AI-Driven Analytics – Clinical Research

Introduction – AI in Clinical Research Analytics

Artificial Intelligence (AI) is redefining how clinical research is conducted, monitored, and analyzed. From patient recruitment and site feasibility to trial monitoring, protocol compliance, and safety oversight, AI-driven analytics improves efficiency, accuracy, and decision-making in clinical operations.
The AICR program provides learners with a comprehensive introduction to AI applications in clinical research analytics, combining traditional trial management principles with modern AI/ML-powered solutions. It is designed for clinical professionals preparing for AI-integrated trial management roles.

Course Name :  AI-Driven Analytics – Clinical Research
Course Code :  AICR
Experience Level :  Intermediate to Advanced
Qualification :  Bachelor’s / Master’s in Life Sciences, Nursing, Pharmacy, Public Health, Data Science, or related fields
Student Category :  Clinical Research Associates (CRA), Clinical Trial Managers (CTM/CSM), Data Analysts, Career Changers into AI-driven research roles

Delivery Type

SIP – Self-Paced Online with Support

Duration & Delivery
  1. Course Duration: 4 weeks (100 hours)
  2. Format: Self-Paced Online with Support (narrated lessons, readings, quizzes, and role-based tasks).
Key Learning Objectives

   By completing this program, learners will:

  1. Understand the role of AI in clinical research operations and trial management.
  2. Explore AI-powered patient recruitment and site feasibility models.
  3. Learn how AI enhances monitoring (RBM, central monitoring, compliance tracking).
  4. Gain insights into predictive analytics for trial risk management and outcomes.
  5. Explore NLP for protocol deviation detection and AE narrative analysis.
  6. Learn how AI integrates with CTMS, EDC, and eTMF systems.
  7. Review case studies of AI in global clinical trials.
Who Should Take This Course
  1. Clinical Research Associates (CRA/CRC) advancing into AI-supported monitoring roles.
  2. Clinical Study/Trial Managers (CSM/CTM) overseeing multi-site global trials.
  3. Data Analysts working with trial data in CTMS/EDC systems.
  4. Healthcare professionals entering digital/AI-enabled clinical research.
  5. Career changers targeting pharma/CRO operations with AI skills.
Benefits & Outcomes
  1. Gain practical knowledge of AI applications in trial management and oversight.
  2. Learn to leverage AI for risk-based monitoring and compliance.
  3. Improve career readiness for AI-integrated CRA and CTM roles.
  4. Strengthen employability in pharma, CROs, and digital trial platforms.
  5. Position yourself as a professional skilled in next-generation clinical research practices.
Career Pathways: After completing this course.
  1. AI-Enabled Clinical Research Associate (CRA)
  2. Clinical Study Manager (AI-driven)
  3. Clinical Trial Data Analyst
  4. Risk-Based Monitoring Specialist
  5. Digital/Decentralized Trial Operations Manager

Curriculum & Modules

Modules
1. Introduction to AI in Clinical Research

2. AI for Patient Recruitment & Site Feasibility

3. AI-Driven Trial Monitoring (On-Site, Remote, Hybrid)

4. Risk-Based Monitoring (RBM) & Predictive Analytics

5. Natural Language Processing (NLP) in Protocol & AE Narratives

6. AI Integration with CTMS, EDC, and eTMF Platforms

7. Compliance Tracking & Regulatory Oversight with AI

8. Data Visualization & AI Dashboards for Clinical Teams

9. Case Studies – AI in Pharma, CROs, and Digital Trials

10. Future Trends – AI, Decentralized Trials, and Automation

Getting in Touch:

For more information, please call us at +91 8925971788 / +91 8977943100 (WhatsApp)or email qpdc@qtechelearncenter.com. Our course specialists will reach out to you promptly to assist you in taking the next steps toward your career goals.