Accelerating Health Economics Research Through Privacy-Enhancing Technologies (PETs)

PURPOSE: This panel brings together leaders in health economics, privacy technology, and outcomes research to address how Privacy-Enhancing Technologies (PETs) are transforming the speed and scale of HEOR studies. The objective of this session is to explore practical implementation strategies that automate regulatory compliance for real-world evidence (RWE) while maintaining research integrity. DESCRIPTION: Health economics researchers face growing challenges in accessing and analyzing real-world data while meeting privacy requirements. This panel addresses five critical angles that directly impact HEOR studies including Data Access, Research Efficiency, Quality Assurance, Cost Analysis, and Innovation. This session will start with an introduction of HEOR data bottlenecks—the impact of privacy regulations on research timelines, hidden costs of manual compliance processes, data access bottlenecks in multi-site studies, and case studies of delayed or limited studies due to privacy constraints. PETs can be leveraged as a strategic solution—the panel will share their perspectives on ROI analysis of PET implementation, success stories in automated compliance and how to maintain research quality while enhancing privacy. The session will continue by exploring practical implementation strategies for PET adoption including integration with existing workflows, staff training and resource allocation, quality assurance in privacy-preserved analysis, and best practices for multi-site implementation. The session will conclude with an interactive problem-solving workshop between audience and panel members covering real-world implementation scenarios, overcoming common challenges, regulatory compliance strategies, and resource optimization techniques. This session would benefit compliance executives and teams who utilize large scale data for HEOR.

Moderator

Speakers