XiFin to Highlight Impact of FDA Regulations, Other Disruptive Forces Facing Hospitals, Independent Labs, and Pathology Practices at 29th Annual Executive War College

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XiFin Speakers: On left, Lâle White. From top left to right, Diana Richard, Stephanie Denham, Jeff Carmichael, Sandra Greefkes, Heather Agostinelli, and Clarisa Blattner.

SAN DIEGO– XiFin, Inc., a leading provider of innovative healthcare information technologies and services that deliver artificial intelligence (AI)-enabled operational efficiency, interoperability, and simplicity, will showcase forward-thinking insights, speaking at four sessions and two panels at the 29th Annual Executive War College on Diagnostics, Clinical Laboratory, and Pathology Management conference. Leveraging insights on big data gleaned from its experienced team of industry leading executives and award-winning platform, XiFin leaders plan to drive strategic, financial, and operational discussions.

XiFin Executive Chair and CEO Lâle White will deliver a keynote focusing on the new regulations and market forces that will impact the diagnostic industry. Chief among these is the FDA’s bid for control of laboratory-developed tests (LDTs) and concerns surrounding Medicare Advantage programs. White aims to provide a grounding on these and other challenges to help attendees navigate the policy environment as they make institutional decisions in the coming year.

In addition, XiFin will share its new White Paper “Guide to AI-Enabled Revenue Cycle Management for Molecular Diagnostics and Pathology Practices” with all attendees. This paper demonstrates XiFin’s unique approach to facilitating organizational transition from complexity to clarity through AI-enabled workflows, which improve operational and financial performance, allowing customers to expand their impact in a timely manner. Furthermore, XiFin will reaffirm its commitment to innovation, expertise, and advocacy through focused initiatives that leverage big data, including XiFin’s Payor Rate Transparency Monitor and Lab Volume Index.