May 13, 2025
Discover how artificial intelligence (AI) is transforming real-world evidence (RWE) research, enabling more efficient data extraction, analysis, and validation from complex medical records.
This course provides a structured, four-hour deep dive into the applications, challenges, and opportunities of AI in healthcare data science.
Technical Topics Include:
- AI applications in medical records: Addressing foundational challenges in data extraction and analysis
- Practical use cases: AI-driven insights from longitudinal medical records
- System considerations: Navigating data access, patient privacy, and regulatory compliance
- Technical challenges: Complexities of deploying AI in healthcare settings
- Safety and validation systems: Ensuring accuracy, reliability, and regulatory alignment in AI-driven RWE research
- Emerging opportunities: AI-driven advancements that enhance patient care and support regulatory decision-making
This Course Includes Tools and Concepts That Can Be Immediately Applied, Including:
- Practical demonstrations of AI-driven RWE applications
- Frameworks for managing privacy and security when using AI in healthcare data
- Strategies for integrating AI tools into real-world evidence workflows
- Best practices for validating AI-driven insights in regulatory and clinical settings
This course is designed for professionals in RWE research, healthcare analytics, and regulatory decision-making who want to leverage AI to improve data-driven insights and patient outcomes.
PREREQUISITE: This course assumes that participants are familiar with the standing challenges and opportunities for RWE in research.
LEVEL: Intermediate
TRACK: Real World Data & Information Systems
This short course is offered in-person at the ISPOR 2025 conference. Separate registration is required. Visit the ISPOR 2025 Program page to register and learn more.
FACULTY MEMBERS
Schedule:
LENGTH: 4 Hours | Course runs 1 day
Sunday, 13 May 2025 | Course runs 1 Day
1:00pm-5:00pm Eastern Daylight Time (EDT)
ISPOR short courses are designed to enhance knowledge and techniques in core health economics and outcomes research (HEOR) topics as well as emerging trends in the field. Short courses offer 4 or 8 hours of premium scientific education and an electronic course book. Active attendee participation combined with our expert faculty creates an immersive and impactful learning experience. Short courses are not recorded and are only available during the live course presentation.