Unlike a pill or a medical device, digital health products evolve on a weekly basis. So, how do you actually measure long-term cost reductions and ROI? That’s exactly the kind of question Priya Shanmugam, PhD is digging into at #ISPOR2026 this week. She's representing the Virta Health HEOR team and presenting our latest survival analysis on T2D and nutrition therapy (Poster #2048, Tuesday 4-7 PM). If you work in digital health economics, go find her and trade notes!
I will be at #ISPOR2026! I'd love to connect with folks working in HEOR for digital health. A couple things we could trade notes on: - Making real-world claims databases work for client-specific reporting versus research publications, and how those analyses inform each other - Measuring the durability / evolution of cost reductions over time, both during active enrollment and after disenrollment, and how that informs pricing structures - Accounting for the fact that, unlike a drug or a medical device, the digital health "product" is technically evolving on at least a weekly basis - How you work with the teams upstream of you as their processes shift (e.g. enrollment and activation strengthen -> broader swath of patients join -> ROI shifts) - Anywhere you're using Bayesian methods or causal ML methods!!!!