Greg Miller, VP of Marketing and Business Development at Carta Healthcare, is focused on the multi-billion-dollar problem of manual clinical data abstraction in health systems, which is time-consuming, labor-intensive, and error-prone. The Carta hybrid intelligence solution combines AI with human expertise to surface and validate information, delivering dramatic ROI for clients through lower costs and higher data quality. Clinician adoption grows significantly once they have experienced the AI finding information they would have missed, ultimately making them more effective at their jobs.

Greg explains, "Health systems in the US, specifically, spend between $10 and $15 billion a year on manually abstracting data. And what are they abstracting data for?

"There are lots of different downstream use cases, but the most common reason is to populate clinical registries. And clinical registries are super important because they're used for accreditation of clinical programs. It's for revenue, it's for compliance and regulatory requirements. But the biggest use of registry data is to drive quality and process improvement initiatives."

"Unfortunately, today, every hospital has an abstraction function that is highly decentralized, and they have highly skilled labor, mostly nurses, who manually come through the electronic health record and other systems to find nuggets of information to answer questions in some registry system. And so it's very time-consuming, labor-intensive, and, because it involves humans, both expensive and prone to error."

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