Artificial Intelligence in Health Outcomes Research (AI in HEOR)
Free Virtual Training Workshop
📅 Date: August–September 2026 (Final date to be announced)
💻 Format: Live Virtual Workshop
⏰ Duration: 2.5–3 Hours
💲 Cost: Free Registration
🎓 Certificate: Certificate of Completion Provided
About the Workshop
Artificial Intelligence (AI) is transforming healthcare research by enabling investigators to analyze complex real-world data, generate real-world evidence, and develop predictive models that support clinical and healthcare decision-making.
This free virtual workshop provides a practical introduction to the application of Artificial Intelligence (AI) and Machine Learning (ML) in Health Outcomes Research (HEOR). Participants will learn how modern machine learning methods can be used to predict clinical outcomes, healthcare utilization, treatment effectiveness, medication adherence, quality of life, and healthcare costs using real-world healthcare datasets.
The workshop combines foundational concepts in health outcomes research with practical demonstrations of machine learning techniques commonly used in healthcare analytics. Participants will gain insight into how AI can be applied to answer important research questions and generate actionable evidence that supports patient-centered care and population health improvement.
What You Will Learn
- Introduction to Health Outcomes Research (HEOR)
- Real-World Data (RWD) and Real-World Evidence (RWE)
- Healthcare Databases for Research
- Introduction to Artificial Intelligence and Machine Learning
- Predictive Modeling in Healthcare
- Logistic Regression and Traditional Statistical Models
- Random Forest, XGBoost, LightGBM, and CatBoost
- Neural Networks for Healthcare Data
- Explainable Artificial Intelligence (SHAP)
- Model Validation and Performance Evaluation
- Bias, Fairness, and Responsible AI
- Publishing AI-Based Health Outcomes Research
Who Should Attend?
This workshop is designed for:
- Faculty Members
- Graduate Students
- Postdoctoral Scholars
- Healthcare Researchers
- Pharmacists
- Physicians and Clinicians
- Health Data Analysts
- Industry Researchers
- Government Researchers
- Anyone interested in AI applications in healthcare research
Learning Outcomes
By the end of this workshop, participants will be able to:
✓ Understand the role of AI in Health Outcomes Research
✓ Identify appropriate healthcare datasets for AI applications
✓ Prepare healthcare data for machine learning analyses
✓ Develop predictive models using machine learning methods
✓ Compare traditional statistical and machine learning approaches
✓ Interpret model predictions using Explainable AI techniques
✓ Evaluate model performance and validity
✓ Apply AI methods to real-world healthcare research questions
✓ Design reproducible AI-based research workflows
✓ Critically evaluate AI studies in healthcare literature
Registration
Registration is free, but space is limited.
Complete the registration form below to reserve your spot.
🚀 Register Now
We look forward to learning with you and exploring the future of Artificial Intelligence in Health Outcomes Research.