The healthcare industry has a massive data problem. Read more about what’s going on and how to address the issue, as well as opportunities in the field to use the data to build applications.
Sramana Mitra: Let’s start by introducing our audience to yourself as well as to Diameter Health.
Eric Rosow: I’m the CEO and I’m a Co-Founder, along with John D’Amore, of Diameter Health. I met John through a prior acquisition. My last company was acquired by what was then called Eclipsys. It’s a publicly-traded healthcare IT company that ultimately merged with Allscripts.
I very much enjoyed working with John during our time there. We’ve always kept in touch. Diameter Health is all about addressing, what we think is a very important and a very sexy space of middleware in terms of making dirty data clean, usable, and actionable, and doing that in an automated fashion to empower interoperability.
We’re really big on semantic interoperability and democratizing, deduplicating, enriching, and normalizing data for analytics, for value-based care, for population health, and for quality measures.
Sramana Mitra: Let’s double-click down a little bit and tell me more about how you do what you do. You’re very welcome to use specific customers and use cases to illustrate what you’re doing in more depth .
Eric Rosow: We started by focusing on the segment of the healthcare ecosystem called health information exchanges (HIE). Today, we have over 20 HIEs as customers throughout the country. There are only about a little over a hundred HIEs to begin with.
We’re very proud to have been working with many of the thought-leading HIEs throughout the country to validate our model, largely because they have a wide array of clinical data from hundreds of different electronic health vendors.
In addition to the HIEs, we’ve been extending our market reach to the payer community. We’re very excited with opportunities with payers, in particular, how we can take clean and normalized clinical data to support quality measures.
We’re also very honored to be working with the Veteran’s Administration. We’ve been working with the VA for over three years now to support data quality across their organization as well. Lastly, we have a growing strategic partnership ecosystem where we work with other HIT vendors that would benefit from clean, normalized data.
Sramana Mitra: Let’s talk about the state of data and why it requires so much normalization.
Eric Rosow: That’s a great question. The good and the bad is, we live in this world where everyone that’s using an electronic health record has been incentivized to do so and often receives dollars for it. I could share with you the statistics from where we were before.
Our view of the world is perhaps a non-carbon-friendly analogy. All this data, while digital, is still dirty and incomplete. Sometimes, just wrong. Digital data is like crude oil. It’s still in the ground. It’s in tanks and trucks.
We look at all the opportunities around machine learning and AI to be like the cars. It could be Ferraris and Fords. Each of them needs high-octane fuel.
We really position Diameter as that middleware that’s the oil refinery that can take this dirty digital data and turn it into high-octane fuel. In doing so, we sit in between the pipe vendors and the people who consume it. That allows us to sell both upstream and downstream.