Using AI for Quality Improvement and Risk Adjustment in a Value-Based Care Model with Jay Ackerman Reveleer TRANSCRIPT
Download PDFDec 11, 2023
Jay Ackerman is the CEO of Reveleer, a data and analytics company that works with payers and providers to support them in quality improvement and risk adjustment in a value-based care environment. Using AI, natural language processing, and integration of diverse databases, Reveleer is reducing administrative burdens and supporting providers to make more informed decisions for patient care.
Jay explains, "In the AI world, a lot is being done to drive productivity and efficiency for payers and providers to anticipate how someone's health is shifting and changing. But for us, in the world of AI, what we're focused on and how we're trying to use AI, when we talk about quality improvement and risk adjustments, we ingest massive clinical data on each of these members, on each of these patients, we could capture thousands of pages."
"We use AI to quickly digest, organize, and mine that data to understand what has happened over time for that member and what we think could be happening as they go forward. What we're aiming to do, and what we're doing, is mining that data and presenting a very concise set of recommendations to the provider. So when that patient walks into their office, they know what gaps in care they should be paying attention to. Gaps in care that might be tied to quality scores. Gaps in care that might be tied to validating overall risk score. "
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