Category:
Analytics and Reporting |
Duration: 8 Weeks / 140 Hours |
AI-Driven Analytics – Clinical Research
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.
SIP – Self-Paced Online with Support
- Course Duration: 4 weeks (100 hours)
- Format: Self-Paced Online with Support (narrated lessons, readings, quizzes, and role-based tasks).
By completing this program, learners will:
- Understand the role of AI in clinical research operations and trial management.
- Explore AI-powered patient recruitment and site feasibility models.
- Learn how AI enhances monitoring (RBM, central monitoring, compliance tracking).
- Gain insights into predictive analytics for trial risk management and outcomes.
- Explore NLP for protocol deviation detection and AE narrative analysis.
- Learn how AI integrates with CTMS, EDC, and eTMF systems.
- Review case studies of AI in global clinical trials.
- Clinical Research Associates (CRA/CRC) advancing into AI-supported monitoring roles.
- Clinical Study/Trial Managers (CSM/CTM) overseeing multi-site global trials.
- Data Analysts working with trial data in CTMS/EDC systems.
- Healthcare professionals entering digital/AI-enabled clinical research.
- Career changers targeting pharma/CRO operations with AI skills.
- Gain practical knowledge of AI applications in trial management and oversight.
- Learn to leverage AI for risk-based monitoring and compliance.
- Improve career readiness for AI-integrated CRA and CTM roles.
- Strengthen employability in pharma, CROs, and digital trial platforms.
- Position yourself as a professional skilled in next-generation clinical research practices.
- AI-Enabled Clinical Research Associate (CRA)
- Clinical Study Manager (AI-driven)
- Clinical Trial Data Analyst
- Risk-Based Monitoring Specialist
- Digital/Decentralized Trial Operations Manager
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 |
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.