Realizing the potential of RWE with different models: an interview with John Cai

25 Mar 2022

Written by John Cai (Merck)

Artificial intelligence and machine learning Interviews ISPOR Methodology Real-world evidence Stakeholder engagement

Following the session at ISPOR—The Professional Society for Health Economics and Outcomes Research's (NJ, USA) Virtual ISPOR Europe 2021 (November 30–December 3), John Cai, Executive Director of Real-world Data Analytics and Innovation at Merck (NJ, USA) explains how the pharmaceutical industry can maximize the potential of real-world evidence (RWE) by assessing the various models of how to use RWE. Please could you introduce yourself, your organization(s) and provide a brief summary of your career to date? I’m John Cai, Executive Director of Outcomes Research in the Center for Observational and RWE at Merck. As a physician with medical informatics training,...