AI IN CLINICAL DATA ANALYTICS - 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
 
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AI-Driven Analytics – Clinical Data

Introduction – AI IN CLINICAL DATA ANALYTICS

With the rise of artificial intelligence (AI) and machine learning (ML), clinical data analytics is entering a new era of automation, prediction, and intelligent insights. Traditional data cleaning, validation, and reporting are now supported by AI tools that can detect anomalies, predict risks, and optimize trial outcomes faster than ever before..
The AICD program introduces learners to AI applications in analyzing clinical trial data, focusing on how automation, predictive modeling, and natural language processing (NLP) enhance efficiency and regulatory compliance. This program bridges the gap between traditional CDM/statistical programming and next-generation AI-driven analytics.

Course Name :  AI in Clinical Data Analytics
Course Code :  AICD
Experience Level :  Intermediate to Advanced
Qualification :  Bachelor’s / Master’s in Life Sciences, Statistics, Data Science, Computer Science, or related fields
Student Category :  Clinical Data Managers, Statistical Programmers, Biostatisticians, Data Analysts, Career Changers into AI-enabled 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:

  2. Understand how AI and ML algorithms enhance clinical data analytics.
  3. Explore predictive analytics for patient safety, trial outcomes, and risk detection.
  4. Learn how NLP automates narrative analysis and medical text mining.
  5. Gain exposure to AI-based discrepancy detection and signal management.
  6. Apply AI in real-world CDM workflows (query resolution, coding, safety reporting).
  7. Explore AI tools (Python, R, SAS Viya, cloud ML platforms).
  8. Explore AI tools (Python, R, SAS Viya, cloud ML platforms).
  9. Review case studies of AI use in pharma, CROs, and regulatory environments.
Who Should Take This Course
  1. Clinical Data Managers (CDMs) seeking AI-enabled skills.
  2. SAS/Statistical Programmers transitioning into AI/ML analytics.
  3. Biostatisticians exploring predictive and automated models.
  4. Data Analysts in pharma/CROs expanding into AI-powered tools.
  5. Career changers entering AI-focused clinical research roles.
Benefits & Outcomes
  1. Gain hands-on exposure to AI-driven analytics in clinical research.
  2. Learn how to automate data cleaning, reporting, and safety analytics.
  3. Build readiness for AI-enabled CDM and statistical programming roles.
  4. Improve employability for positions at the intersection of AI, data science, and healthcare analytics.
  5. Position yourself for the future of digital and AI-powered clinical trials.
Career Pathways: After completing this course.
  1. AI Clinical Data Analyst
  2. Clinical Data Scientist
  3. Statistical Programmer (AI-enabled)
  4. Risk-Based Monitoring Specialist
  5. Digital Trial Analytics Manager

Curriculum & Modules

Modules
1. Introduction to AI in Clinical Research & Data Management

2. Machine Learning Basics for Clinical Data Analytics

3. Data Cleaning & Validation with AI Tools

4. Predictive Modeling for Patient Safety & Trial Outcomes

5. NLP for Case Narratives & Literature Mining

6. AI-Driven Risk-Based Monitoring & Signal Detection

7. Visualization & Dashboards – AI-Enhanced Reporting

8. Regulatory Considerations – AI in FDA/EMA Submissions

9. Case Studies – AI in Pharma & CRO Analytics Teams

10. Future Trends – Automation, Cloud, and Digital Trials
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.