By JESSICA DaMASSA, WTF HEALTH
You know all that “magic” that machine learning is meant to bring to seemingly lackluster healthcare data and our limited understanding of it? Komodo Health’s co-founder & CEO Arif Nathoo demystifies the wizardry of one of our favorite buzz phrases, “The Algorithm,” and gives us a colorful overview of how his startup is making data useful to the way payers, health systems, and pharma co’s study populations at-scale. Komodo’s raised $314M to-date, closing a MASSIVE $220M Series E backed by Tiger Global Management, Casdin Capital, ICONIQ Growth, Andreessen Horowitz, and SVB Capital in April, and after hearing this enthusiastic explanation of what they’re working on – and the market potential for it – we understand why.
At its most simplistic, Komodo is using de-identified healthcare claims data as a base from which to learn how patients flow through the healthcare system. Other data sets are brought in and layered onto that “patient-flow, dollar-flow” claims trail in effort create a new vantage point for seeing what’s happening within the system, at a population level. That insight can then be used to predict patient behavior and provide evidenced analysis for how the system can be improved. Don’t worry: Arif provides lots of detailed examples and talks through exactly what kind of data can (and currently can’t) be pulled into the mix. If you want to get smart on the “Big Data” opportunity in healthcare and how it’s going to be impacting the future of care delivery and virtual care delivery, this is one chat you won’t want to miss!
