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Ways AI can support quality assurance for tech companies
Recently, Arcadia’s President and CEO, Michael Meucci, discussed the use of AI for detecting anomalous data patterns in healthcare.
When practices can easily and accurately assess and document patient health risk gaps at the point of care, value-based organizations are better positioned to succeed under risk-based payment models. They can understand the needs of their patients and populations, ensure they have adequate risk-adjusted budgets to care for those needs, and minimize back-end effort.
Watch as Catherine Turbett, MHA, VP, ACO and Health Plan Operations, Arcadia, discusses key strategies for a successful, disciplined risk adjustment program that starts with a solid data asset, uses effective approaches to engage physicians and care teams, and enables success across a multi-EHR, multi-payor environment.
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