Platform Economics: Using R Shiny to Make HEOR Models Interactive, Replicable, and Stakeholder-Centric

Health economics and outcomes research (HEOR) is under increasing pressure to do more. More with greater complexity, faster timelines, and higher expectations for transparency. Yet, the tools used to build and communicate HEOR analyses have changed relatively little.  

Yet advances in programming, data infrastructure, and interactive technologies are enabling a different approach. One in which models are no longer static deliverables, but dynamic tools that evolve over time and support direct stakeholder engagement. 

This white paper explores the transition toward interactive, reproducible, and stakeholder-centric HEOR platforms, and what it means for modelers, organizations, and decision-makers seeking to improve the speed, transparency, and impact of their evidence generation.

Key Topics: 

• A new approach to HEOR workflows, enabled by interactive frameworks like R Shiny 

• Implications of the transition to interactive and reproducible HEOR platforms 

• Key areas to consider, including value demonstration tools, web dashboards, and living HTA  

• Potential barriers to adoption 

Authors: 

Mike Dolph, Director, EVA Health Economics 

Cale Harrison, Associate Director, EVA Health Economics 

Angie Raad-Faherty, Director, EVA Health Economics 

Download your copy today!